diff --git a/.gitattributes b/.gitattributes index 5b15a695e40775c3935aaa22a2504c1250228cb4..ccf05e72ef231ec0f55effbd47e4a150dbc0856c 100644 --- a/.gitattributes +++ b/.gitattributes @@ -119,3 +119,27 @@ extensions/stable-diffusion-webui-size-travel/img/ddim_simple.png filter=lfs dif extensions/stable-diffusion-webui-size-travel/img/eular_a_advance.png filter=lfs diff=lfs merge=lfs -text extensions/stable-diffusion-webui-sonar/img/momentum.png filter=lfs diff=lfs merge=lfs -text extensions/stable-diffusion-webui-tripclipskip/images/xy_plot.jpg filter=lfs diff=lfs merge=lfs -text +embeddings/21charturnerv2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/ART[[:space:]]Classical[[:space:]]Rennaisance[[:space:]]Paintings[[:space:]]by[[:space:]]EldritchAdam.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-Young.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-YoungV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-Younger.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-YoungerV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-Youngest.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/AS-YoungestV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/BadDream.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/EasyNegativeV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/FastNegativeEmbedding.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/FastNegativeV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/HDA_Ahegao.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/SimpleNegativeV2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/SimpleNegativeV3.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/UnrealisticDream.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/Unspeakable-Horrors-Composition-4v.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/bad_prompt_version2-neg.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/bad_prompt_version2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/charturnerv2.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/epiCNegative.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/epiCRealism.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/negative_hand-neg.preview.png filter=lfs diff=lfs merge=lfs -text +embeddings/realisticvision-negative-embedding.preview.png filter=lfs diff=lfs merge=lfs -text diff --git a/embeddings/(SuperQuality:1.0) ~ (SuperQuality:1.2).html b/embeddings/(SuperQuality:1.0) ~ (SuperQuality:1.2).html new file mode 100644 index 0000000000000000000000000000000000000000..5c63ccc5621d9d02bcd92e32d762eba124ad2930 --- /dev/null +++ b/embeddings/(SuperQuality:1.0) ~ (SuperQuality:1.2).html @@ -0,0 +1,115 @@ + +
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NOTE: There is a possibility that other prompts may be distorted.
If you need to maintain existing prompt characteristics, use BREAK, AND special tags
Trained on 45 ultra-high resolution 2D images.
aesthetic scores are, on average, about 0.5 points higher.
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A negative prompt embedding for Deliberate V2. Use in your negative prompt to make the image look better. Do not use as a regular prompt.
Trained on the bad image dataset from here:
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Edit: controlNet works great with this. Charturner keeps the outfit consistent, controlNet openPose keeps the turns under control.
Three versions, scroll down to pick the right one for you.
If you're unsure of what version you are running, it's probably 1.5, as it is more popular, but 2.1 is newer and gaining ground fast.
Version 2, for 2.0 and 2.1 models
Version 2, for 1.5 models
Version 1, for 1.5 models
BONUS: Experimental LORA released
used at your own risk. :D (mixes well tho)
Hey there! I'm a working artist, and I loathe doing character turnarounds, I find it the least fun part of character design. I've been working on an embedding that helps with this process, and, though it's not where I want it to be, I was encouraged to release it under the MVP principle.
I'm also working on a few more character embeddings, including a head turn around and an expression sheet. They're still way too raw to release tho.
Is there some type of embedding that would be useful for you? Let me know, i'm having fun making tools to fix all the stuff I hate doing by hand.
v1 is still a little bit... fiddly.
Sampler: I use DPM++ 2m Karras or DDIM most often.
Highres. fix ON for best results
landscape orientation will get you more 'turns'; square images tend toward just front and back.
I like https://civitai.com/models/2540/elldreths-stolendreams-mix to make characters in.
I use an embedding trained on my own art (smoose) that I will release if people want it? But it's an aesthetic thing, just my own vibe.
I didn't really test this in any of the waifu/NAI type models, as I don't usually use them. Looks like it works but it probably has its own special dance.
Things I'm working on for v2: EDIT: V2 out, see below! (also v2 2.1)
It fights you on style sometimes. I'm adding more various types of art styles to the dataset to combat this. - V2 has much better styles
Open front coats and such tend to be open 'back' on the back view. Adding more types of clothing to the dataset to combat this. - Still has this problem
Tends toward white and 'fit' characters, which isn't useful. Adding more diversity in body and skin tone to the dataset to combat this. - v2 Much more body and racial diversity added to the set, easier to get different results.
Helps create multiple full body views of a character. The intention is to get at least a front and back, and ideally, a front, 3/4, profile, 1/4 and back versions, in the same outfit.
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This is a negative embedding trained on the output you get from entering George Carlin's "7 dirty words" in the positive prompt. It was trained mostly on output from various anime models, so it's likely to work better for anime. When put in the negative prompt, it tends to output soft images with cheerful colors, and steers heavily away from gross stuff.
warning: This is a NEGATIVE EMBEDDING. Put this in the positive prompt AT YOUR PERIL. It's extremely NSFW, and not in an appealing way.
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Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
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Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
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Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
Sell this model or merges using this model
Have different permissions when sharing merges
Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Sell images they generate
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Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Sell images they generate
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Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Update June 13th adding updated Young Versions... V2
I developed this age slider to work with my Children's Stories model. Some Stable Diffusion models have difficulty generating younger people. This embedding will fix that for you. It can make anyone, in any Lora, on any model, younger. Even animals and fantasy creatures.
Follow me to make sure you see new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at strength of 1. That means to put them at the beginning of your prompt or make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (AS-YoungerV2) or (AS-YoungerV2:1.0), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. There are 4 files to download for younger, and 4 for older, check the version tabs at the top.
These embeddings make people/creatures/characters younger.
AS-YoungV2-Neg: Place in your negative prompt at strength of 1.0 to 1.3, generally removes adults from the scene.
AS-YoungV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually teenager, may vary by model, lora, or prompts.
AS-YoungerV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually child, may vary by model, lora, or prompts.
AS-YoungestV2: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually toddler/baby, may vary by model, lora, or prompts
These embeddings make people/creatures/characters adult or older.
AS-Adult-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will remove any young people and/or youth from the scene.
AS-Adult: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually fully matured adult 20s to 30s, may vary by model, lora, or prompts.
AS-MidAged: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually middle-aged adult 40s to 60s, may vary by model, lora, or prompts.
AS-Elderly: Place at the beginning of your positive prompt at strength of 1.0 to 1.3. Conceptually elderly adult 70s +, may vary by model, lora, or prompts.
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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[Please use the "supercharge" version alongside the "init or v2" version]
Note: v2 is worse with style (eg. sketch, watercolor, etc.) than init, But generates better images with regular style.
TL;DR:
This is a negative embedding fine-tuned to be used with AingDiffusion and KayWaii. Should also work with other SD 1.5-based models too, but not tested for output quality.
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This tool doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray. This is due mostly to heavy training that doesn't tag race or culture.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Most of the recent, good, training has been using anime and models trained on asian people and it's culture. Nothing wrong with that, it's great that the community and fine-tunning continues to grow. But those models are mixed in with almost everything now (and because race or culture wasn't specifically tagged) sometimes it might be difficult to get results that don't have asian or anime influence. This embedding aims to assist with that. It can even change anime characters (though that wasn't the intended purpose).
I first created this when trying to make preview images for my South of the Border Style embedding. I was trying to get south american people and culture, but there was a lot of asian culture leaking into the generated images. This embedding fixed that. So it doesn't specifically race-swap asian to white-caucasian, it just removes asian so your prompts can be more effective with whatever other race or culture you're trying to portray.
How to use:
Use the negative prompt primarily, then use the positive prompts only if you need the additional help. There are 3 files to download.
Asian-Less2-Neg: Use this one, place in your negative prompt at strength of 1.0 (more updated embedding to account for more modern models)
Asian-Less-Neg: Use this one, place in your negative prompt at strength of 1.0
Asian-Less: Only use this in the positive prompt if you need the extra strength. On an asian-specific model for example.
Asian-Less-Toon: Only use this in the positive prompt if you need to remove anime-like features in illustrations.
Again, this isn't meant to race-swap, but to help get other race and/or cultures in your image generation without the influence of the asian image training. But like all models, the intended use and what you do with it are separate matters.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
Since I was refactoring my usual negative prompt with FastNegativeEmbedding, why not do the same with my super long DreamShaper negative prompts?
I decided to condense them into 2 words which are the two embeddings presented here.
BadDream is good for "dreamshaper style" stuff, while UnrealisticDream is more suited for realistic images, but it's not standalone. You should use it together with BadDream or with other negative words.
They can also both be combined with FastNegativeEmbedding.
Enjoy!
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his is a Textual Inversion I have created, this is mainly useful to improve your overall aesthetics and character anatomy.
I don't really have a suggested weight range for this, because it really depends on what model, lora and how complicated your prompt will be. These elements can effect how much weight you will need, I usually start without any weight just to see how much it effects my generations.
The images I have generated are purely just prompts and my Textual Invertion, I only switch around the checkpoint model to test the effect.
You can try more different variation and you can get even better results then I do, as this was just some testing.
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***Attention***
https://civitai.com/models/305043?modelVersionId=342502
_______________________________________________________________
Negative Embedding High Quality Images
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HE IS -
https://huggingface.co/nick-x-hacker/bad-artist
The images above were generated with only "solo" in the positive prompt, and "sketch by bad-artist" (this embedding) in the negative.
The embedding uses only 2 tokens.
Textual-inversion embedding for use in unconditional (negative) prompt.
Inspired partly by https://huggingface.co/datasets/Nerfgun3/bad_prompt.
There are currently 2 version:
'bad-artist': Not as strong, but produces pretty unique images (recommended)
'bad-artist-anime': More generic anime style (this was the first version uploaded)
I recommend using with 'by', so for example "sketch by bad-artist", or "painting by bad-artist", or "photograph by bad-artist", etc.
Trained with 2 vectors per token for 15000 (1850x8) steps, at 500x500, on an Anything-v3-based model.
Full generation parameters for images above (using the 'bad-artist' version, not the 'bad-artist-anime' version):
solo
+Negative prompt: sketch by bad-artist
+Steps: 15, Sampler: DPM++ 2M Karras, CFG scale: 4, Seed: 1476197242, Size: 512x640, Clip skip: 2
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
Run on services that generate images for money
Run on Civitai
Share merges using this model
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
+ Use the model without crediting the creator
Sell images they generate
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Run on Civitai
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Easy one-click color palette for your images. No need to argue with the AI if an orange is a color or a fruit, everything is setup for you automatically.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
How to use: Just place the trigger word in your positive prompt ranging from strength 0.1 to 1.5. You can removed or lower the strength of certain colors by typing the color name in the negative prompt.
Reds Black and Whites (download)
Cyberpunk (download)
Retro Primaries (download)
Purple to Yellow METALLIC (download)
Kill Bill (download)
Bronzy Blues (download)
Neutral Orange (download)
Mint Chocolate (download)
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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This Negative Embedding (TI) can assist you in achieving a more realistic portrayal when prompting.
NEW: CyberRealistic Negative Anime for Anime/Semi-Realistic Checkpoints like CyberRealistic 2.5D Style
Download the file and place it in your embeddings folder. If you're using A1111 Webui, the folder path would be stable-diffusion-webui/embeddings (refer to the documentation to find the correct location for embeddings for other programs).
Once the file is in the designated folder, utilize the embedding by entering its name into the "negative prompt" box instead of the usual prompt. The default names are CyberRealistic_Negative, or CyberRealistic_Negative_Anime, depending on the version you downloaded.
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Original Hugging Face Repository
Simply uploaded by me, all credit goes to https://huggingface.co/gsdf.
Counterfeit-V3 (which has 2.5 and 2.5 as well) on Civitai - https://civitai.com/models/4468/counterfeit-v25
If you like this embedding, please consider taking the time to give the repository a like and browsing their other work on HuggingFace.
This embedding should be used in your NEGATIVE prompt. Adjust the strength as desired (seems to scale well without any distortions), the strength required may vary based on positive and negative prompts. Use the EasyNegative_pt (PickleTensors) version if you are unable to use SafeTensors embeddings.
Samples are, in order:
sample01 - Counterfeit-V2.0.safetensors
sample02 - AbyssOrangeMix2_sfw.safetensors
sample03 - anything-v4.0-pruned.safetensors
Strength comparison using AbyssOrangeMix2_sfw.
From Author
"This is a Negative Embedding trained with Counterfeit. Please use it in the "\stable-diffusion-webui\embeddings" folder. It can be used with other models, but the effectiveness is not certain."

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[TI] EasyNegativeV2 [Textual Inversion Embedding]
This Ti is for SD 1.5
Trainer isn't me.
All the credit goes to gdgsfsfs.
https://civitai.com/user/rqdwdw
https://huggingface.co/gsdf/Counterfeit-V3.0/tree/main/embedding
I just upload it here.
Because I want CivitAI to analyze and record the metadata.
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Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
Token mix of my usual negative embedding. This way it's faster to use and easier to reproduce.
I'm also working on a much stronger one that doesn't preserve styles but it's good on base models without style loras applied. I plan to upload it during the next week, so be sure to leave a ❤️ to be notified of future updates.
This is very much a work in progress, but since I'm already using it in examples, I thought I should upload it.
It should keep styles on all my style loras. If not please tell me in the comments.
Additionally, if you find this too overpowering, use it with weight, like (FastNegativeEmbedding:0.9).
Update: added FastNegativeV2. It shouldn't be necessary to lower the weight.
Of course, don't use this in the positive prompt.
This includes Nerf's Negative Hand embedding.
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Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
Token mix of my usual negative embedding. This way it's faster to use and easier to reproduce.
I'm also working on a much stronger one that doesn't preserve styles but it's good on base models without style loras applied. I plan to upload it during the next week, so be sure to leave a ❤️ to be notified of future updates.
This is very much a work in progress, but since I'm already using it in examples, I thought I should upload it.
It should keep styles on all my style loras. If not please tell me in the comments.
Additionally, if you find this too overpowering, use it with weight, like (FastNegativeEmbedding:0.9).
Update: added FastNegativeV2. It shouldn't be necessary to lower the weight.
Of course, don't use this in the positive prompt.
This includes Nerf's Negative Hand embedding.

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A pathetic attempt at fixing hand, first image preview is On, second Off.
commun trigger words: a person's hand
Datasets:
11K Hands by Afifi, Mahmoud, Cleaned blurry and similar using script, 2 down to 3158 Images, available for download in the Training Data.
Training settings:
"0.0002:10, 0.00001:20, 0.0007:60, 0.00005:200, 0.0002:500, 0.0001:3000, 0.00001" for 37K steps, and then 81K with 0.001+Clip_grad: value.
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
Hide
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
Hide
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
Hide
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Sell images they generate
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
Hide
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Sell images they generate
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Don't let the Model or Lora push a gender on you. Male, female, and every point in between. You decide. This isn't to push any agenda, just giving you the tools to get the image you want, despite the biases that might be in the model you use. Maybe you don't want a dragon with breasts, or you just want to know what Daniel Craig's sister would look like... this will fix that for you.
I developed this gender slider for use with popular pose and character LORAs that have specific gender training. It makes it hard to get the gender you want when using them. I continued to develop it into a full robust gender slider. These embeddings will fix all gender problems for you. It can make anyone, in any Lora, on any model, any gender. Even animals and fantasy creatures.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. Things move fast on this site, it's easy to miss.
How to use:
Just use one of the positive prompts listed to get the desired results. Use them at various strengths to get the desired results. Make sure they have the appropriate modifier brackets. Example, for automatic1111 it would be (GS-Masculine:0.8), the parenthesis are required. They are stackable, so you can combine them together to help with stubborn models. A negative embedding is also included for extra brute force if needed. Check the version tabs at the top.
These embeddings push people to the masculine.
GS-DeFeminize-Neg: Place in your negative prompt at strength of 1.0 to 1.3, removes beauty, makeup, breasts, and other feminine characteristics.
GS-Boyish: Place in your positive prompt at strength of 0.4 to 1.3. Conceptually pushes towards androgynous but more butch or boyish in nature. May vary by model, lora, or prompts.
GS-Masculine: Place in your positive prompt at strength of 0.2 to 1.3. Conceptually pushes towards rough and strong seasoned masculinity. May vary by model, lora, or prompts.
These embeddings push people to the feminine.
GS-DeMasculate-Neg: Place in your negative prompt at strength of 1.0 to 1.3. This will removes beards, penises and other masculine features. Great for removing males from a scene.
GS-Girlish: Place in your positive prompt at strength of 0.1 to 1.3. Conceptually pushes towards cute and pretty, fun and energetic female in nature. May vary by model, lora, or prompts.
GS-Womanly: (coming shortly)
These are the concepts for the embeddings. Some models, character LoRAs, or embeddings might be too rigid, so increase strength or stack on multiple to get the desired result. Additional prompts may help as well.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Use HDA_Ahegao in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Use HDA_AnalHold in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Use HDA_AnimalPenisXL in your positive prompt to generate images.
Remember to put the .pt / .safetensors file in the "embeddings" folder
Add 1other, to positive prompts
If you appreciate my work and want to ✨SUPPORT IT✨, you can buy me a coffee ☕ KO-fi!


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Use HDA_Cowgirl position in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Use HDA_Deep Penetration in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Remember to insert the file into the EMBEDDINGS folder and activate the keyword
Add "multiple anus" to negative prompts if you experience graphic anomalies on the waifu's butt.
You don't need to add "1boy" to the positive prompt.
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Use HDA_Doggystyle in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
add "1boy" to prompts
Sometimes it generates animal tails, add "(tail:1.4)" in negative prompts
If you enjoy my content, please consider supporting it with a coffee. Thank you.
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Use HDA_Oral invitation in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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Use HDA_SideFellatioXL in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
there is no need to add 1boy to positive prompts
If you appreciate my work and want to ✨SUPPORT IT✨, you can buy me a coffee ☕ KO-fi!


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Add any facial expression you want in the prompt
Ex: "1girl, HDA_TentacleSex, scared" - "1girl, HDA_TentacleSex, ahegao"
Use HDA_TentacleSex in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
If you enjoy my content, please consider supporting it ☕☕☕ . Thank you.
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This is my first Textual inversion. The intent is to generate images of girls masturbating.
Remember to insert the file into the EMBEDDINGS folder and activate the keyword
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Use HDA_piledriver in your positive prompt to generate images.
Remember to put the .pt file in the "embeddings" folder
it does not always succeed in generating a complete male figure. I added (1boy:1.4) to the file. Don't add it again
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A horror fantasy embedding which i made when i wanted to expand the horror aspect from my dark fantasy embedding. This embedding leans more towards the horror theme/body horror style.
There is no trigger word
My images lose their metadata when i upscale them, so i have to manually add the prompts to the pictures, that is why there are no CFG scales or seeds shown in the example images.
All example images made with my DarkRevPikas model.
Using CFG scale: 6-8
Steps: 30-37
prompt:
horror \(theme\), body horror, demon girl, monster girl, dark, gothic, glowing, colored skin,
(A lot of the pictures had purple glow in them, so if you want a specific color just change the "glowing" to a color like "red glowing" or "blue glowing" etc..)
Some images had watermarks which i couldn't remove so using these tags in the negative might help:
watermark, username, signature, patreon username, patreon logo,
VAE:
kl-f8-anime2: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt
or
vae-ft-mse: https://huggingface.co/stabilityai/sd-vae-ft-mse-original/blob/main/vae-ft-mse-840000-ema-pruned.ckpt
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This is a embedding i trained on just hentai images. Therefore you will get a lot of open mouths, ahegao, sweating, saliva etc.. from just using the embedding.
There is no Trigger word
All training images were nsfw so even if you try to go for something SFW you have to properly build your prompt. The lineart gets weaker the longer your prompt is. In other words, the longer the prompt is, the weaker the 2D style gets. You can reinforce the embedding with prompts like:
monochrome, lineart, comic, cross-section,
If you want to keep the embedding relative simple use the above tags, but if you want to get the manga panels etc.. then use:
monochrome, lineart, comic, cross-section, manga \(object\), left-to-right manga,
A good negative prompt is:
(worst quality, low quality:1.4), zombie, watermark, username, patreon username, patreon logo, (extra fingers, deformed hands, polydactyl:1.5), censored, bar censor, child, loli,
This embedding is a hit or miss. As i said earlier, you have to build your prompt properly if you want to get something specific, else it will throw random NSFW stuff at you.
The example images were not all first generations. Some are inpainted, some just went through hires fix, and some just img2img.
First of all USE a VAE!!! I have gotten comments from people telling me that they are getting washed out colors and artifacts when using my models, that is because you are NOT using a VAE.
Two of my favorite VAEs are:
kl-f8-anime: https://huggingface.co/hakurei/waifu-diffusion-v1-4/blob/main/vae/kl-f8-anime2.ckpt
Download one or both, put the file in your stable diffusion folder -> models -> VAE
Then go to the webui and settings -> stable diffusion -> SD VAE and choose the VAE from the drop down. Some models have integrated VAE, my DarkRevPikas model does not, so you have to use one. The "Automatic" option does not work.
You should also consider using Stable Diffusion Dynamic Thresholding (CFG Scale Fix) extension, if you wanna use higher CFG scale without getting artifacts.
512x768 or 768x512 or 512x512
steps: 30-60
CFG: 10-12 With CFG scale fix set mimic CFG scale 6
Without the extension use CFG 6-8
Basically whatever your pc can generate, i use:
896x1344 or 1344x896 or 1024x1024
steps: 30-60
CFG: 10-12 With CFG scale fix set mimic CFG scale 6
Without the extension use CFG 6-8
Denoise strength: 0.5
Hires steps: 10-20
Denoising Strength: 0.3-0.45
Upscale by: 1.5-2
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Improves image quality putting it in the negative field
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A negative embedding focused on generating tonally cool images with added detail and realism.
NOTE: Since this focuses on generating cooler tones, you may have to push certain traits. As opposed to "redhead", use "((redhead))" if you are losing that aspect. This also tends to diminish smiles a little, so use weights or brackets to push them further if needed.
Only uses 5 tokens so as not to flood your negative token space.
Images were generated on my upcoming model.
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NegfeetV2 is out! The discription as below:
+ Now you can use weight 1.5 or higher without loss image quality.
+ Enhanced ability to prevent bad feet and legs, try higher weight.
+ Reduced affection to some model's original style.
+ Improved image quality, now you can just use NegfeetV2 as a only one negative embedding.
- May perform worse than Negfeet at some seed.
Use this negative embedding to get much better feet and legs in several models!
This is a negative embedding, so please put NegfeetV2 inside negtive prompt.
This model is trained with hundreads of images with bad feet and bad legs for dozens of hours by 3090. Also I trained some steps with supervision.
To publish photos generated with this embedding, I hope to mention this page to make more people see!
用这个负面嵌套在多种模型中获得显著更好的腿脚质量!
我使用了数百张错误的腿脚图片,在3090上训练了几十个小时,并且加入了一部分有我在屏幕前监督的训练。
如果要发布使用此模型生成的图片,我希望提及此发布页,让更多人看到!
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Over the last 6 months, I've created quite the collection of helper and tool embeds for doing things like fixing faces, pushing realism, creating anime scenes, making subjects smile, or cry, or face the camera, whatever. Rather than creating separate listings for the literal dozens of tools I have, I've decided instead to just create a "master" listing for all of my tools that I can then update whenever I have new tools to add.
Unlike some of my more grand embeddings out there, many of these serve simple purposes and are of limited effect by themselves. Some are little more than funny experiments that turned into something useful, while others were created as helpers as part of a larger project.
I will continue to update this listing as I create more tools. I'm not planning on exposing my ENTIRE toolbox, just the ones I use and share with friends most frequently.
Don't expect a lot of demo images or a lot of fanfare on this listing. This is my toolkit. If you want to use my tools, please, be my guest, but I make no guarantee of results - Sometimes they work great, sometimes they don't, the fun part is finding the best mix to get the results you want!
As with all of my other embeds, my tools are designed to be mixed with my other 1.5 compatible embeds available on my profile page. Mix and match for some really interesting outputs, and follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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Reminder:
The older embeddings do not work on SDXL or Pony models, they give you errors on external image generators. Not sure what the internal generator does but I think it just ignores them if they throw errors. In the other direction, it works the same, no sd1.5 embeddings on SDXL or Pony and no SDXL/Pony embeddings on SD1.5...
Set of TIs that gives me lots of detail in the skin and hair or even overall detail on the whole image. All but OverallDetail shifts the focus of the image to parts that get more detail now.
Check the comparison on the OverallDetails page but keep in mind that those are done without any other negative prompts or helpers unless stated.
The SkinDetail and SkinHairDetail sometimes have a side effect that shows scars or otherwise broken skin, that can be worked against with adding "skin markings" into the negative prompt.
The XL / Pony versions are tested with the XL Model Fenris (see the resources) and also my own model blend between a pony model and Fenris.
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Rebecca from Cyberpunk: Edgerunners.
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I created 'SimpleNegative' because there are too many repetitive responses influenced by 'EasyNegative,' and it's becoming boring. Please place it in NegativePrompt in the same way.
久々にSD1系を触ってたらEasyNegative顔ばっかりでつまらないのでSimpleNegativeを作りました。
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I created 'SimpleNegative' because there are too many repetitive responses influenced by 'EasyNegative,' and it's becoming boring. Please place it in NegativePrompt in the same way.
久々にSD1系を触ってたらEasyNegative顔ばっかりでつまらないのでSimpleNegativeを作りました。
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I created 'SimpleNegative' because there are too many repetitive responses influenced by 'EasyNegative,' and it's becoming boring. Please place it in NegativePrompt in the same way.
久々にSD1系を触ってたらEasyNegative顔ばっかりでつまらないのでSimpleNegativeを作りました。
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I created 'SimpleNegative' because there are too many repetitive responses influenced by 'EasyNegative,' and it's becoming boring. Please place it in NegativePrompt in the same way.
久々にSD1系を触ってたらEasyNegative顔ばっかりでつまらないのでSimpleNegativeを作りました。
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Reminder:
The older embeddings do not work on SDXL or Pony models, they give you errors on external image generators. Not sure what the internal generator does but I think it just ignores them if they throw errors. In the other direction, it works the same, no sd1.5 embeddings on SDXL or Pony and no SDXL/Pony embeddings on SD1.5...
Set of TIs that gives me lots of detail in the skin and hair or even overall detail on the whole image. All but OverallDetail shifts the focus of the image to parts that get more detail now.
Check the comparison on the OverallDetails page but keep in mind that those are done without any other negative prompts or helpers unless stated.
The SkinDetail and SkinHairDetail sometimes have a side effect that shows scars or otherwise broken skin, that can be worked against with adding "skin markings" into the negative prompt.
The XL / Pony versions are tested with the XL Model Fenris (see the resources) and also my own model blend between a pony model and Fenris.
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V1.0 - Initial release.
V1.5 - Improves on the previous formula and reduces tokens used from 5 to 2.
Character renditions coming up with skin that's just a tad too perfect? Use this negative embedding to dial in more skin texture and character.
Only uses 5 tokens so as not to flood your negative token space.
Images were generated on my upcoming model.
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V1.0 - Initial release.
V1.5 - Improves on the previous formula and reduces tokens used from 5 to 2.
Character renditions coming up with skin that's just a tad too perfect? Use this negative embedding to dial in more skin texture and character.
Only uses 5 tokens so as not to flood your negative token space.
Images were generated on my upcoming model.
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
Use the model without crediting the creator
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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Do you have a problem with shy subjects in your images? Try this love potion to really break the ice.
My Embeddings don't impart a style, don't use loads of extra VRAM, so it works great with other LoRAs and adapters.
Follow me to make sure you see new tools like this, or new styles, poses and Nobodys when I post them. More Clutter series coming too. Things move fast on this site, it's easy to miss.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Interact Make Out: In small amounts you can get casual interactions, hugs, leaning in, etc. Dial it all the way up for full make out session and inappropriate groping. Put "kiss, kissing" in the negative if you want to get their faces unstuck.
Style-Cuddles Cuddles: A more affectionate hug or embrace without all the face time like Make Out
Style-Grabby Grabby: Very straight forward grab or grope. Low strength will grab arms or waist like a hug, high strength will go for the crotch or other sexy areas. Works with couples or solo.
more variations to come, make sure to like this page to get notifications.
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi
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This is a subtle Textual Inversion Style Embedding trained on colorful wildflowers. You can get amazing bright flowers and nature-greens in your images by calling Style-Petal in the positive prompt, and if you want to temper the effect, also call Style-Petal-neg in the negative prompt.
If you'd like the effect to come through stronger (some models need it), try bumping up the emphasis on Style-Petal - see the images below.
Please consider joining my Patreon! Advanced SD tutorials, settings explanations, adult-art, from a female content creator (me!) patreon.com/theally
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:heart: This model page as I'll be adding more tools over the next few days.
A collection of tools I've used in the past, and making available. Help to get great images that aren't dull and plain like every other portrait you see. These are embeddings so they don't use up extra vram, they don't change the style of your preferred model or LoRA and you can use as many as you like without muddying up your image.
Different checkpoint models will require different strengths to work, typically 0.2 to 1.8:
TOOLS:
Style-Action (coming shortly) A single embedding that creates a robust action scene with flow, movement, and great composition and lighting.
Style-GHL Golden Hour Lighting: Gives your image that low angle bright warm lighting. Often called the "golden hour" of a sunrise or sunset that gives the best artistic lighting.
Style-DoF Depth of Field: Significantly increases the blur and bokeh of the foreground and background of your image. Helps your subject stand out. High settings can cause a image to look more photorealistic. Even higher will make it look like macro photography of miniatures.
Style-BlurFore Blurred Foreground: Great way to blur your foreground objects without increasing the overall DoF of the image, perfect for action scenes. You should prompt your desired foreground objects.
Style-Volumetric Volumetric Lighting: Adds a very cinematic haze, fog, particle effect to images that help give depth to distant objects.
Style-DA Dutch Angle: Camera tilt that gives the image an artistic, cinematic feel. Helps improve the sense of action and movement in your image. Works best with an action scene, prompt to help. (Warning: some models have difficulty distinguishing between dutch angle and dutch nationalities. While I've made every effort to remove those tokens from the embedding, you may still need to put "orange, dutch, holland or windmills" in your negative prompt. Also, sometimes SD will tilt the subject instead of the camera view, you'll need to cherry pick for best results, or use controlnets).
Style-Crp Cropped: Tight crop on images helps to create an artistic and cinematic composition when combined with other camera angles and action.
Style-EMCG Epic Movie Color Grading: A color grading that give a style similar to epic blockbuster movies, referred to as teal & orange. This embedding doesn't need much strength to work well. In fact, you will want to be sure and tag the colors you want so that it doesn't end up teal and orange if you don't want that. Adding blue, and teal to the negative prompts will help as well.
more camera angles to be added beyond this set
Do you have requests? I've been putting in many more hours lately with this. That's my problem, not yours. But if you'd like to tip me, buy me a beer. Beer encourages me to ignore work and make AI models instead. Tip and make a request. I'll give it a shot if I can. Here at Ko-Fi

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This is my first attempt at making a textual inversion of a character. Not perfect, but I am still happy with how it turned out!
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Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
Since I was refactoring my usual negative prompt with FastNegativeEmbedding, why not do the same with my super long DreamShaper negative prompts?
I decided to condense them into 2 words which are the two embeddings presented here.
BadDream is good for "dreamshaper style" stuff, while UnrealisticDream is more suited for realistic images, but it's not standalone. You should use it together with BadDream or with other negative words.
They can also both be combined with FastNegativeEmbedding.
Enjoy!
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I've seen horrible things.
But hopefully you don't have to. These embeddings mainly focus on composition, color schemes and anatomy. They are not perfect and should most likely be used along other negative prompt words, but they should do the bulk of the work.
If your model already does good compositions and anatomy, these embeddings might not help. The ones with fewer vectors might be better in this case.
Do note that the way embeddings work with prompt weighting seems somewhat broken, specially on high number of vectors. You can still fine tune, just avoid low multipliers for high vector embeddings, at least on Automatic1111.
These embeddings were also not trained, they were created based on the encoded vectors themselves.
Whatever you do, don't run this as a positive embedding. I'm not responsible for your loss of sanity.
Make sure you check out bad prompt as well.
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I've seen horrible things.
But hopefully you don't have to. These embeddings mainly focus on composition, color schemes and anatomy. They are not perfect and should most likely be used along other negative prompt words, but they should do the bulk of the work.
If your model already does good compositions and anatomy, these embeddings might not help. The ones with fewer vectors might be better in this case.
Do note that the way embeddings work with prompt weighting seems somewhat broken, specially on high number of vectors. You can still fine tune, just avoid low multipliers for high vector embeddings, at least on Automatic1111.
These embeddings were also not trained, they were created based on the encoded vectors themselves.
Whatever you do, don't run this as a positive embedding. I'm not responsible for your loss of sanity.
Make sure you check out bad prompt as well.
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I've seen horrible things.
But hopefully you don't have to. These embeddings mainly focus on composition, color schemes and anatomy. They are not perfect and should most likely be used along other negative prompt words, but they should do the bulk of the work.
If your model already does good compositions and anatomy, these embeddings might not help. The ones with fewer vectors might be better in this case.
Do note that the way embeddings work with prompt weighting seems somewhat broken, specially on high number of vectors. You can still fine tune, just avoid low multipliers for high vector embeddings, at least on Automatic1111.
These embeddings were also not trained, they were created based on the encoded vectors themselves.
Whatever you do, don't run this as a positive embedding. I'm not responsible for your loss of sanity.
Make sure you check out bad prompt as well.
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An old model I made but never uploaded. This version of ahegao is more of a pleasured face instead of a "fucked silly" type. This TI works at various weights, but can be overdone. It loves the color red and twintails, no idea why. Compatible with other TIs and LoRAs. I prefer a weight of 1.2 to make it more obvious, anything above 1.3 looks bad.
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该页面为推荐用于 AnimeIllustDiffusion [1] 模型的所有文本嵌入(Embedding)。您可以从版本描述查看该文本嵌入的信息。
您应该将下载到的负面文本嵌入文件置入您 stable diffusion 目录下的 embeddings 文件夹内。之后,您只需要在填写负面提示词处输入 badv4 即可。
每个文本嵌入将从以下参数描述其特性:
正/负面文本嵌入:如果一个文本嵌入是正面文本嵌入,则您应该将它填写在正面提示词内发挥作用;反之,如果一个文本嵌入是负面文本嵌入,则您应该将它填写在负面提示词内发挥作用。
作用范围:一个文本嵌入主要影响的画面内容。
向量数:代表该文本嵌入占多少个词元。通常来说,您输入提示词中超过 75 个词元的部分会被忽略。因此,一个文本嵌入的向量数越少,您填入它之后剩余输入提示词的空间越多。
向量强度:一个词元向量值的大小。向量强度越高,效果越强。普通词元的向量强度为[-0.05,0.05]。不可将用括号增强提示词等效于增强向量强度。
This page contains all the text embeddings recommended for use with the AnimeIllustDiffusion model [1]. You can view information about the text embeddings from the version description.
You should place the downloaded negative text embedding file in the embeddings folder of your Stable Diffusion directory. After that, you only need to enter "badv4" in the field for negative prompts.
Each text embedding is described by the following parameters:
Positive/Negative Text Embedding: If a text embedding is a positive text embedding, it should be used in positive prompts. Conversely, if a text embedding is a negative text embedding, it should be used in negative prompts.
Scope: The main content of the image that a text embedding will primarily affect.
Vector Count: The number of token that the text embedding represents. Generally, the part of a prompt containing more than 75 tokens will be ignored. Therefore, the fewer the number of vectors in a text embedding, the more space you will have left to input the prompt.
Vector Strength: The magnitude of a token's vector. The higher the vector strength, the stronger the effect. The vector strength of token is usually between [-0.05, 0.05]. Using parentheses to enhance prompts is not equivalent to increasing vector strength.
[1] AnimeIllustDiffusion Model Webpage: https://civitai.com/models/16828/animeillustdiffusion
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该页面为推荐用于 AnimeIllustDiffusion [1] 模型的所有文本嵌入(Embedding)。您可以从版本描述查看该文本嵌入的信息。
您应该将下载到的负面文本嵌入文件置入您 stable diffusion 目录下的 embeddings 文件夹内。之后,您只需要在填写负面提示词处输入 badv4 即可。
每个文本嵌入将从以下参数描述其特性:
正/负面文本嵌入:如果一个文本嵌入是正面文本嵌入,则您应该将它填写在正面提示词内发挥作用;反之,如果一个文本嵌入是负面文本嵌入,则您应该将它填写在负面提示词内发挥作用。
作用范围:一个文本嵌入主要影响的画面内容。
向量数:代表该文本嵌入占多少个词元。通常来说,您输入提示词中超过 75 个词元的部分会被忽略。因此,一个文本嵌入的向量数越少,您填入它之后剩余输入提示词的空间越多。
向量强度:一个词元向量值的大小。向量强度越高,效果越强。普通词元的向量强度为[-0.05,0.05]。不可将用括号增强提示词等效于增强向量强度。
This page contains all the text embeddings recommended for use with the AnimeIllustDiffusion model [1]. You can view information about the text embeddings from the version description.
You should place the downloaded negative text embedding file in the embeddings folder of your Stable Diffusion directory. After that, you only need to enter "badv4" in the field for negative prompts.
Each text embedding is described by the following parameters:
Positive/Negative Text Embedding: If a text embedding is a positive text embedding, it should be used in positive prompts. Conversely, if a text embedding is a negative text embedding, it should be used in negative prompts.
Scope: The main content of the image that a text embedding will primarily affect.
Vector Count: The number of token that the text embedding represents. Generally, the part of a prompt containing more than 75 tokens will be ignored. Therefore, the fewer the number of vectors in a text embedding, the more space you will have left to input the prompt.
Vector Strength: The magnitude of a token's vector. The higher the vector strength, the stronger the effect. The vector strength of token is usually between [-0.05, 0.05]. Using parentheses to enhance prompts is not equivalent to increasing vector strength.
[1] AnimeIllustDiffusion Model Webpage: https://civitai.com/models/16828/animeillustdiffusion
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This is Negative Embedding for SD1.5, Not for SDXL. The concept was to improve quality, such as EasyNegative and veryBadImageNegative.
An12 Version has two embedding file.
an12 (34.0KB)
an12_light (16.0KB)
an12_light is a lightweight version of an12 with only 5 tokens. an12 is the full version.
An11 Version has two embedding file.
an11 (42.9KB)
an11_light (7.57KB)
an11_light is a lightweight version of an11 with only 5 tokens. an11 is the full version.
(In An7,An8,An11 this embedding was created by training at https://github.com/tekitou898009890/stable_diffusion_webui_embedding_estimate.)
(An10,An9 was retrained an8 using the kohya-ss version of textualinversion, and two patterns of TI were merged using embedding merge: one that resulted in a more easynegative result and one that was closer to the model picture.)
Please use it in the "\stable-diffusion-webui\embeddings" folder. Please use this embedding with trigger words of each version (ex.an5) in the NEGATIVE prompt form.
*It can be used with other models, but the effectiveness is not certain.
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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Made a Textual Inversion for Arcane looking Images
2 Versions
v1 - arcan3 is more cartoonish
v2 - arcan3v2 is more to the realistic/3D side
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Awaiting Tongue, or "Waiting O-Face", embedding created by Airathias
Note: This embedding has a pretty big ego and likes to go early in your prompt, preferrably first, or it will be fussy. If your subject doesn't stick out their tongue, increase priority. The more priority the more defined the tongue will be. Go overboard and you get monsters.
Embedding was created in 800 steps, and a large number of vectors per token. Try to keep your prompt short, but I've seen it work fine with longer prompts.
I added prompts to the example images, should work fine. These prompts were basically blatantly copied from other examples throughout the website. If I copied yours, mea culpa. You can use this without crediting me.
The embedding was trained on stock SD 1.5, so it should work for many if not most models based off of 1.5.
Images listed are made using a handful of models to test, including:
Stock SD 1.5
Deliberate (https://civitai.com/models/4823/deliberate)
DreamShaper (https://civitai.com/models/4384/dreamshaper)
UberRealistic Dreamy PFG Porn (https://civitai.com/models/3751/uberrealistic-dreamy-pfg-porn)

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HE IS -
https://huggingface.co/nick-x-hacker/bad-artist
The images above were generated with only "solo" in the positive prompt, and "sketch by bad-artist" (this embedding) in the negative.
The embedding uses only 2 tokens.
Textual-inversion embedding for use in unconditional (negative) prompt.
Inspired partly by https://huggingface.co/datasets/Nerfgun3/bad_prompt.
There are currently 2 version:
'bad-artist': Not as strong, but produces pretty unique images (recommended)
'bad-artist-anime': More generic anime style (this was the first version uploaded)
I recommend using with 'by', so for example "sketch by bad-artist", or "painting by bad-artist", or "photograph by bad-artist", etc.
Trained with 2 vectors per token for 15000 (1850x8) steps, at 500x500, on an Anything-v3-based model.
Full generation parameters for images above (using the 'bad-artist' version, not the 'bad-artist-anime' version):
solo
+Negative prompt: sketch by bad-artist
+Steps: 15, Sampler: DPM++ 2M Karras, CFG scale: 4, Seed: 1476197242, Size: 512x640, Clip skip: 2
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HE IS -
https://huggingface.co/nick-x-hacker/bad-artist
The images above were generated with only "solo" in the positive prompt, and "sketch by bad-artist" (this embedding) in the negative.
The embedding uses only 2 tokens.
Textual-inversion embedding for use in unconditional (negative) prompt.
Inspired partly by https://huggingface.co/datasets/Nerfgun3/bad_prompt.
There are currently 2 version:
'bad-artist': Not as strong, but produces pretty unique images (recommended)
'bad-artist-anime': More generic anime style (this was the first version uploaded)
I recommend using with 'by', so for example "sketch by bad-artist", or "painting by bad-artist", or "photograph by bad-artist", etc.
Trained with 2 vectors per token for 15000 (1850x8) steps, at 500x500, on an Anything-v3-based model.
Full generation parameters for images above (using the 'bad-artist' version, not the 'bad-artist-anime' version):
solo
+Negative prompt: sketch by bad-artist
+Steps: 15, Sampler: DPM++ 2M Karras, CFG scale: 4, Seed: 1476197242, Size: 512x640, Clip skip: 2
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Mage.Space • RenderNet.ai • Sinkin.ai • Graydient • Arcanium.art
This tools in not mine, all the credits go to:
Unzip the file inside the folder:
..\YOUR~STABLE~DIFFUSION~FOLDER\embeddings\
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Not my TI. The original is from https://huggingface.co/Xynon/models/blob/main/experimentals/TI/bad-image-v2-39000.pt
If someone knows the creator please contact him so this can be moved to his account.
I just uploaded it as someone was asking about this embed inside one of my sample images.
Edit: Unarchived it as it seems it was unusable in the civit generator.
NOTE:
Hmm I am starting to think the best solution is to archive this so it is findable but people will have to get the original at hugging face. So I will do so.

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March 17, 2023 edit: quick note on how to use a negative embeddings. You download the file and put it into your embeddings folder. Since I use A1111 Webui, that is stable-diffusion-webui/embeddings. If you use a different program you will have to check with its documentation on where to put embeddings.
After you have put the file in the appropriate folder, you then use the embedding by entering its name into the "negative prompt" box instead of the normal prompt. The name, by default, will be either bad-picture-chill-75v, bad-picture-chill-32v, or bad-picture-chill-1v, depending on which one you downloaded. If you rename the file, that will change the activation word to whatever you renamed the file. So if you renamed "bad-picture-chill-75v.pt" to "pizza-is-great.pt" the activation phrase changes to "pizza-is-great"
End of edit.
This is a "bad prompt" style embedding- it is trained to be used in the negative prompt. It is made specifically for ChilloutMix (version chilloutmix_NiPrunedFp32Fix.safetensors [fc2511737a]), so it may or may not work well on a non-chilloutmix model. The prompts used for the pictures were mostly taken from the comment section on the ChilloutMix page.
It comes in 1 vector, 32 vector, and 75 vector versions- the higher you go, the more detail you will be able to squeeze out, but the closer you will get to deep-frying your image. Check out the comparison images that I uploaded as part of the 75 vector version- you'll probably have to right-click and "open image in new tab" to properly zoom in.
The 'Training Images" download for each version is a .zip that has all the saved .pt versions that were generated during the training. Look there if you want a version that has more or less steps. If you want the actual training images, click on the "Actual Training Images" version which should be below the 1V version of the embedding.
Preview images: all preview images were generated at 512x512 with highres enabled @ a factor of 2 and 0.75 denoising, resulting in a final image of 1024x1024. Model: chilloutmix_NiPrunedFp32Fix.safetensors [fc2511737a]
Sometimes the original prompt or original negative prompt will include a LORA or embedding- here are links to them. Note: these are not used in the single image previews, only the original prompts that I borrowed and put into the stacked comparison images.
Japanese Dolllikeness lora (robot lady image)
easynegative embed (armored lady) (impossibly tight black bodysuit lady)
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A very versatile negative embedding that helps generate high quality images. Higher chances of producing normal looking hands in realistic images.
Keep your token usage to below 75 for best effect. Most of the time, you don't need to add other quality specifiers to your prompts (e.g. worst quality, bad quality).
Negative prompt: bad_pictures
If you notice any artifacts, you can try increasing or decreasing the weighting like this: (bad_pictures:1.1) or (bad_pictures:0.8).
Values between 0.8 and 1.2 seems to work best (clip size 2):
VersaMix (https://civitai.com/models/20865/versamix)
Anything V5 (https://civitai.com/models/9409?modelVersionId=30163)

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Since alot of people asked for it. Here is a reupload to civitai for my negative Embedding.
Disclaimer: A new negative embedding is still under develop and I will upload it on civit soon!
~Text from Huggingface~
Link: https://huggingface.co/datasets/Nerfgun3/bad_prompt
The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.
Side note: Embedding has proven to be very helpful for the generation of hands! :)
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder.
To activate the embedding, you will have to write the name of the file in the negative prompt!
Please put the embedding in the negative prompt to get the right results!
For special negative tags such as "malformed sword", you still need to add them yourself. The negative embedding is trained on a basic skeleton for the negative prompt, which should provide a high-resolution image as a result.
Issue: Changing the style to much.
~not downloadable on civit~
With this version I tried to reduce the amount of vectors used, aswell as the issue with the changing artstyle. The newer version is still a work in progress, but its already way better than the first version. Its in files section!
To use it in the negative prompt: "bad_prompt_version2"
I hope you enjoy the embedding. If you have any questions, you can ask me anything via Discord: "Nerfgun3#7508"
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Since alot of people asked for it. Here is a reupload to civitai for my negative Embedding.
Disclaimer: A new negative embedding is still under develop and I will upload it on civit soon!
~Text from Huggingface~
Link: https://huggingface.co/datasets/Nerfgun3/bad_prompt
The idea behind this embedding was to somehow train the negative prompt as an embedding, thus unifying the basis of the negative prompt into one word or embedding.
Side note: Embedding has proven to be very helpful for the generation of hands! :)
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder.
To activate the embedding, you will have to write the name of the file in the negative prompt!
Please put the embedding in the negative prompt to get the right results!
For special negative tags such as "malformed sword", you still need to add them yourself. The negative embedding is trained on a basic skeleton for the negative prompt, which should provide a high-resolution image as a result.
Issue: Changing the style to much.
~not downloadable on civit~
With this version I tried to reduce the amount of vectors used, aswell as the issue with the changing artstyle. The newer version is still a work in progress, but its already way better than the first version. Its in files section!
To use it in the negative prompt: "bad_prompt_version2"
I hope you enjoy the embedding. If you have any questions, you can ask me anything via Discord: "Nerfgun3#7508"
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此文本嵌入(text embedding)为 负面文本嵌入。它能够在对画风影响较小的前提下改善AI生成图片的手部细节。如果它让你的模型表现得比以前更糟,请勿使用它。您可与其他负面文本嵌入一同使用。虽然它是为 AnimeIllustDiffusion 模型设计的,但您也可以在其他模型上使用。
它似乎在较高的 CFG Scale 下(>=11)表现得更好。
对于 AUTOMATIC1111 WebUI 用户
下载模型文件 badhandv4.pt;
将模型文件放置于您 Stable Diffusion WebUI 目录下的 "embeddings" 文件夹内;
打开 WebUI,在负面提示词框内填入 “badhandv4” 以触发效果。
对于 ComfuUI 用户
下载模型文件 badhandv4.pt;
将模型文件放置于您 ComfyUI 目录下的 "models/embeddings" 文件夹内;
打开 ComfyUI,在 负面提示词框内 填入 “embedding:badhandv4” 以触发效果。
我将 badhandv4 移植到了 SDXL 格式的 embedding 上。下载地址参见:
Negative Embeddings - AIDXL Series Models - v0.4 | Stable Diffusion Embedding | Civitai
This text embedding is a negative text embedding. It can improve the hand details of AI-generated images with less impact on the style of painting. If it makes your model behave worse than before, please do not use it. You can use it with other negative text embeddings.
Although it was designed for AnimeIllustDiffusion model, you can use it on other models as well.
It performs better with higher CFG scale (>=11).
For AUTOMATIC1111 WebUI User
Download model file badhandv4.pt;
Move the model file to the "embeddings" folder in your Stable Diffusion WebUI directory;
Lanuch WebUI. Enter "badhandv4" into the negative prompt box to trigger its effect.
For ComfyUI User
Download model file badhandv4.pt;
Move the model file to the "models/embeddings" folder in your ComfyUI directory;
Lanuch ComfyUI. Enter "embedding:badhandv4" into the negative prompt box to trigger its effect.
I converted badhandv4 to SDXL format embedding. For downloading, see:
Negative Embeddings - AIDXL Series Models - v0.4 | Stable Diffusion Embedding | Civitai
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Join our community Discord:

You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
The Complete Catalog Download | Patreon
These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
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Single-word negative embedding to improve the image a bit
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Why can't people read this text????
Again, this is not for v1 models, so this will not show up in AUTOMATIC's WebUI if you are using v1 models (e.g. NAI LEAKS).
Easy negative embedding for WD1.5.
Hugging Face: https://huggingface.co/p1atdev/badquality
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Get better hands and place EMB in a negative prompt
获得更好的手部,将emb放置在负面prompt中
より良いハンドを獲得し、embを負のproptに置く
더 나은 손 얻기, 부정적인 prompt에 emb 배치
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A powerful Textual Inversion that generated enhanced bimbos of all shapes and sizes, and works with most models.
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A TI that helps you generate blowjobs. Simple, but effective!
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Not mine, and I make no claim to ownership or the like.
Link to Creator's Page:
https://civitai.com/user/sopenit494/models
Direct link to Model Page:
https://civitai.com/models/4108?modelVersionId=84134
A re-upload of a group of embeddings created by sopenit494 since I couldn't find the resource on CivitAI for on site generation. This set of embeddings is designed to work for SD 1.5, using with SDXL/Pony will have extremely minimal to no effect!
Re-uploaded explicitly to use on-site, or on other site generation services.
Thorough usage guide continues below, if you are new at generation or unsure what the embeddings do then you should continue reading.
(Place these in prompt when using the embedding(s), just the acronyms not the meanings)
Credit to Technoyote (formerly ShisoFox) for going through the effort and asking the creator what they meant.
Simply placing these in your prompt is not enough, you also need to select the resource in the resource category on the site in use, in-depth breakdown below.
A step-by-step breakdown...
Select the resource, each file is separate so if you want the effect of all of them then you need to select all four of them in the resources category using the dropdown when searching up the resource. If you just want one, then just select the one you want to use.
Know what you want out of your prompt and how to prompt.
Know what each embedding tag means. If you are unsure, go back up.
And for the most important step...
………………………………………………………
Place in your NEGATIVE for intended effect, if you want the inverse then place in your actual prompt.
And that's it, it's that easy.
………………………………………………………
Do not tip this resource, I did not make this.
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A textual inversion embedding for generating clothing with cameltoe pussy.
Add c4m3lt0 to your prompt.
Add anime, cartoon to negative to make realistic images.
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Disclaimer: Any resemblance with any person living or dead is pure coincidence.
Notice for Civitai generation service users: When using Civitai generation service with embeddings, you still have to manually copy and paste trigger word in your prompt (or in negative for negative embeddings). Otherwise your generated images won't be affected by embedding model. On how to best position character embedding within the prompt, please refer to Usage tips i have provided in description of the model down below. Also, model trained for SD 1.5 and not compatible with SDXL checkpoints.
I have converted .pt into .safetensors for your convinience. Usage is same as with .pt. Both file types available for download.
UPD:
added Variant 3 (Jaka).
added Variant 2 (Sofi).
Variant 1 (Maja):
Face. High consistency, will vary according to SD model associations, you can freely change hair color, hairstyle, and so on; some features may require additional (emphasis) to be changed.
Body shape and height. High consistency.
Breast size and shape. High consistency.
Spirit of sexiness. This TI has been trained on nudity. If you want to produce SFW images use clothes in your prompt or "nude" tag in negative. Unlike my first model (vol.1) this time it's not overtrained, usually it's not necessary to apply high weights for clothes.
Vectors per token: 7. This means that embedding will keep most of the character appearance approximately within first 50 tokens of your prompt. This also means that embedding have moderate token count and may interfere with your prompt, if it have complex scene that not registered within embedding (to deal with it - see usage tips).
Variant 2 (Sofi):
Face. High consistency, will vary according to SD model associations, you can freely change hair color, hairstyle, and so on; some features may require additional (emphasis) to be changed.
Body shape and height. High consistency.
Breast size and shape. Moderate consistency.
Spirit of sexiness. This TI has been trained on nudity. If you want to produce SFW images use clothes in your prompt or "nude" tag in negative. Usually it's not necessary to apply high weights for clothes.
Vectors per token: 6. This means that embedding will keep most of the character appearance approximately within first 30 tokens of your prompt. This also means that embedding have moderate token count and may interfere with your prompt, if it have complex scene that not registered within embedding (to deal with it - see usage tips).
Variant 3 (Jaka):
Face. High consistency, will vary according to SD model associations, you can freely change hair color, hairstyle, and so on; some features may require additional (emphasis) to be changed.
Body shape and height. High consistency.
Breast size and shape. High consistency.
Spirit of sexiness. This TI has been trained on nudity. If you want to produce SFW images use clothes in your prompt or "nude" tag in negative. Usually it's not necessary to apply high weights for clothes.
Vectors per token: 6. This means that embedding will keep most of the character appearance approximately within first 30 tokens of your prompt. This also means that embedding have moderate token count and may interfere with your prompt, if it have complex scene that not registered within embedding (to deal with it - see usage tips).
All features of all versions will vary depending on the SD model you use.
Usage tips:
Basically vectors per token parameter of character embeddings determine how much info can be learned about subject from training dataset you provide (higher = more info; it is mostly depth maps and some characters cannot be learned without sufficient vector count). Downside of high values for vectors per token is loose of flexibility within prompt (embedding will resist injection of anything that wasn't learned during training). Fortunately there is 2 methods to gain flexibility, and if you feel that embedding not allow you to get results you wanted use one of those:
Method 1. Positioning or weight adjastment (works with Civitai generation service).
You can either move embedding farther from beginning of the prompt (e.g.: RAW photo of woman, your lengthy prompt, embedding_name, your prompt again), or lower weight of embedding (e.g.: (embedding_name:0.8)). Both variants works identicaly - flexibility raising while likeness decreases. Raising weight of character embeddings will not improve likeness, but may add some details or introduce you some artifacts.
For Civitai generation service users:
Service currently is very raw. You have no choice but to position embeddings somewhere close to the beginning of the prompt (e.g.: RAW photo of woman, embedding_name). Note that moving embedding too far away from the beginning will completely "turn it off". How far depends solely on Vectors per token parameter with which it was trained (see above). Since service don't have even simple token counter you have to experimentally look for a good spot.
Method 2. BREAK word (doesn't work with Civitai generation service).
You can type all you want in your prompt, and then at the end add word BREAK (must be uppercase) after which add character embedding (e.g.: RAW photo of woman, your lengthy prompt BREAK embedding_name). This way you will get flexibility according to actual position of embedding in the prompt (farther from the beginning = better) while all likeness will remain intact. Most example images has been made using this method.
If you like my work, please consider to throw some stars at me. Also i would appreciate any feedback on the model and posts of your work with my embedding.

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Edit: controlNet works great with this. Charturner keeps the outfit consistent, controlNet openPose keeps the turns under control.
Three versions, scroll down to pick the right one for you.
If you're unsure of what version you are running, it's probably 1.5, as it is more popular, but 2.1 is newer and gaining ground fast.
Version 2, for 2.0 and 2.1 models
Version 2, for 1.5 models
Version 1, for 1.5 models
BONUS: Experimental LORA released
used at your own risk. :D (mixes well tho)
Hey there! I'm a working artist, and I loathe doing character turnarounds, I find it the least fun part of character design. I've been working on an embedding that helps with this process, and, though it's not where I want it to be, I was encouraged to release it under the MVP principle.
I'm also working on a few more character embeddings, including a head turn around and an expression sheet. They're still way too raw to release tho.
Is there some type of embedding that would be useful for you? Let me know, i'm having fun making tools to fix all the stuff I hate doing by hand.
v1 is still a little bit... fiddly.
Sampler: I use DPM++ 2m Karras or DDIM most often.
Highres. fix ON for best results
landscape orientation will get you more 'turns'; square images tend toward just front and back.
I like https://civitai.com/models/2540/elldreths-stolendreams-mix to make characters in.
I use an embedding trained on my own art (smoose) that I will release if people want it? But it's an aesthetic thing, just my own vibe.
I didn't really test this in any of the waifu/NAI type models, as I don't usually use them. Looks like it works but it probably has its own special dance.
Things I'm working on for v2: EDIT: V2 out, see below! (also v2 2.1)
It fights you on style sometimes. I'm adding more various types of art styles to the dataset to combat this. - V2 has much better styles
Open front coats and such tend to be open 'back' on the back view. Adding more types of clothing to the dataset to combat this. - Still has this problem
Tends toward white and 'fit' characters, which isn't useful. Adding more diversity in body and skin tone to the dataset to combat this. - v2 Much more body and racial diversity added to the set, easier to get different results.
Helps create multiple full body views of a character. The intention is to get at least a front and back, and ideally, a front, 3/4, profile, 1/4 and back versions, in the same outfit.
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Chun Li TI based on her Fortnite I mean Alpha costume.
Go wild :)
I was so tempted to name the file Fornite_chunli lmao
Model use : https://civitai.com/models/4355/orangecocoa-5050-mix

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This is a textual inversion embedding for Aerith Gainsborough from Final Fantasy VII (essentially both original and remake together).
As many of her appearances show the pink dress in a very light color, it's best to prompt this with green eyes, pink dress, corneo_aerith as it sometimes (though rare) doesn't get the dress or eye color right by itself.
v2 example images produced with my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
I now have a running poll for the next character embed to work on at https://strawpoll.com/master-corneo
You can comment with any requests to add but it needs to be someone with enough fan art available to train on, and also a character I'd want to do!

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This is a textual inversion embedding to generate male-on-female anal sex generations. It's a bit overtuned by itself, and works best with the subject(s) well defined by tags. Use corneo_anal to activate the embedding. Can work quite well with reverse_suspended_congress.
Example images generated using DarkBerry Mix, most are straight txt2img without any further tweaking.
Trained on NAI so works best with models/mixes based on that.
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding to add a ball gag to characters, usually a red one.
This is my last upload, at least for a while. Retire at the top of your game, they say, and now I've hit #1 rank on here and done most of the embeds I wanted to do, I'm at a tipping point from this going from a fun hobby to another chore job. So I'm heading in to semi-retirement and getting back to a big personal project that started me off down this path in the first place. Apologies if your request wasn't popular enough to have been high enough of the list to get made, but I'm seeing more and more people post excellent TIs and other stuff on here now. If I make anything for personal use that's good, I'll still post it here, but I'm closing requests and other work.
Example images produced with my (new) Shinra26 Mix https://civitai.com/models/5943/corneos-shinra26-mix (It's a decent alternative to 7th Heaven).
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for D.va (Hana Song) from Overwatch, in her Black Cat alternate costume.
Use corneo_black_cat_dva to activate.
v2 Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Standard outfit D.va also available here https://civitai.com/models/4434/corneos-dva-overwatch-embedding
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding to generate point-of-view missionary sex positions with the wrists bound and usually above the head. Use corneo_bound_missionary to activate the embedding.
This was trained on NAI and will require a model at least partially mixed with one trained on Danbooru tagging.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix and the Anything v3 VAE (no hypernetwork was used).
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for Bowsette / Princess Koopa, the fan made character created in passing in a webcomic that took the world by storm.
I retrained this to try and remove the shell and tail, which mostly worked, at least you should be able to prompt positively or negatively to add them in or out. Otherwise this isn't one of my best, but it was an interesting challenge to get a consistent look when there isn't an official version of this character.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for Brigitte (Lindholm) from Overwatch.
Use corneo_brigitte to activate. The eyes are pretty bad in the embedding by itself, so you'll definitely want to prompt for the eyes to be a bit better, or just inpaint them after generating the rest of the image. I don't think this one works quite as well as my other character embeddings but it was a request so here it is! Also the training data may have gone a bit too hard on the muscular female approach, so unless you like your ladies with a LOT of muscles, you probably want to put (muscular:0.6) or thereabouts in your negative prompt.
Example images produced with OrangeCocoa available here https://civitai.com/models/4355/orangecocoa-5050-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a Textual Inversion embedding to induce a pose where the character is covering their breasts with both of their arms/hands. I've other embeds for a palms of hands version and one armed version.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a Textual Inversion embedding to induce a pose where the character is covering their breasts with one of their arms. I've other embeds for a palms of hands version and arms crossed version.
Anything involving hands in SD does not work as often as we might like, so you probably need a few gens to get something good out of this. You can also double up the prompt with covering_breasts to help it along.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a Textual Inversion embedding to induce a pose where the character is covering their breasts with the palms of their hands. I've other embeds for a one-arm version and arms crossed version.
By default it really wants to generate gigantic breasts(!) and small hands, so prompt for your desired breast size.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding to generate girl-on-top cowgirl position sex generations. Use corneo_cowgirl to activate the embedding.
Example images generated using DarkBerry Mix, most are straight txt2img without any further tweaking.
Trained on NAI so works best with models/mixes based on that.
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for D.va (Hana Song) from Overwatch.
Use corneo_dva to activate. It's a little overfit so you might want to de-emphasise it in some situations to (corneo_dva:0.9) or (corneo_dva:0.95). It also works best below about 11 CFG value.
Example images produced with OrangeCocoa available here https://civitai.com/models/4355/orangecocoa-5050-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for Makima from Chainsaw Man. Chainsaw Man is an incredible series that you should try out if you haven't already.
Recommended with slight_smile or bored to really get that classic Makima expression. Oh and the clothing was excluded from training so you probably want something like white shirt, collared shirt, black necktie, black pants in the prompt to get the right uniform as shown.
As usual the eyes didn't turn out quite as good as I was hoping for despite focusing on them really heavily, so I also recommend using ringed_eyes in your prompts to try and improve on what this embed does by itself.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a Textual Inversion Embedding of Marin Kitagawa from My Dress-Up Darling (sono bisque doll wa koi wo suru).
I wasn't familiar with the character when she came in as a request, so I watched My Dress-Up Darling over the weekend, was immediately hooked, binged the whole thing, and now I'm pretty obsessed and can't wait for season 2! So I really wanted to get this right and tinkered with it way too much.
It's mostly trained on both her school uniform and iconic bikini, so you can add tags to steer output towards either, though if you don't do that you'll sometimes get a mix of the two. My initial attempts had the multiple ear piercings as a focus but this really upset SD generating her ear properly, so you'll have to add prompts for earrings/piercings to get these consistently now. Same goes for the fake/long nails if you want those.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for Mercy (Angela Ziegler) from Overwatch. Use corneo_mercy to activate.
You can produce images without Mercy's signature wings and/or halo if desired. Things like mechanical_wings and glowing_wings in the negative prompt help.
Version 2 images produced with my 7th Heaven Mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding to generate night elves from World of Warcraft. Use corneo_night_elf to activate the embedding.
It was trained on NAI at clip skip 2, so will work best on NAI-derived anime models.
By itself it will tend towards flesh/pink-colored skin, so you may way to use something like purple_skin as well. I'm sure you could nudge it towards generating blood elves too.
Example images produced using AbyssOrangeMix2
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a Textual Inversion embedding to add nipple rings to nipples! It's a very tricky one to get right, it's not as good/consistent as my other released embeddings, but I've had a number of non-character-embed failures in a row now so I wanted to put one of them out there!
It is quite wonky and won't look correct on probably even the majority of generations using it so fair warning. It's specifically trained on nipple rings so won't work for general piercings, though you could try mixing it with normal nipple_piercing tags. It should work for most characters though, doesn't just have to be female breasts, and it might benefit from a higher step count than normal. Inpainting can also give mixed results, but if you get an image or composition you like you can inpaint the nipples with this until you're happy (that said, all examples are txt2img).
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for POV paizuri image generations. That said, it seems very eager to switch into generating missionary vaginal sex instead, so you may need to steer it back on course with further positive tags and especially negative tags in your prompt.
Use corneo_paizuri to activate.
Example images produced with OrangeCocoa available here https://civitai.com/models/4355/orangecocoa-5050-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for a point-of-view anal sex (missionary-like) position. It was intended to also feature arms_up, bound_wrists but I struggled to find enough good training images, so instead it's only partly trained on them and you can add those tags to your prompt to produce a bound anal scene.
It's also trained with a little male-on-male and futa, so you can hopefully induce that if you want it, or add those to the negative prompt if you do not.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding to generate POV oral/fellatio/irrumatio. Use corneo_pov_oral to activate.
Example images generated using OrangeCocoa which you can grab here: https://civitai.com/models/4355/orangecocoa-5050-mix
Trained on NAI so works best with models/mixes based on that.
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Power from Chainsaw Man. Chainsaw Man is an incredible series that you should try out if you haven't already.
This was actually a 2nd attempt at Power after the first went too hard on her sharp teeth and came out somewhat deformed, so I recommend putting something like (sharp_teeth:0.8) in your prompt along with this embedding to get a more accurate depiction. Also her cross-shaped pupils didn't come through very well despite tags for them existing and trying very specifically to bring that out in the embed - could just be the model I'm using perhaps, I'd be curious if any of you get better eyes with the +_+ tag. As with a lot of these the eyes aren't great with the embed by itself so I'd improve them with orange_eyes, hopefully.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding for Ranni the Witch from Elden Ring.
This was a fun challenge, and perhaps no surprise that SD doesn't really want to generate images with 4 arms. I'm still not sure if it helps but I think you should include extra_arms on your prompts using this (assuming you want to go for 4-armed accuracy). Also one_eye_closed if you're a real purist. cracked_skin and doll_joints should either go in the positive or negative prompt depending on if you want lore-accurate doll-body Ranni or a smooth human body.
Be warned that despite some SFW gens here, this embedding is extremely NSFW-happy and will often give you a mostly nude Ranni unprompted.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding to add makeup/mascara running from the eyes, as often seen in fellatio/irrumatio images, but can be used elsewhere too. Use corneo_runny_makeup to activate it.
It can come out pretty heavy by default (i.e. a LOT of black mascara running down the face quite thick) so you may want to tone it down by de-emphasising the tag such as (corneo_runny_makeup:0.9). Also as with some of my other embeddings, the eyes themselves sometimes need some work in image gens that use it, so add some other tags to prompt how you want the eyes to look, and if that fails, try inpainting.
Example images produced with OrangeCocoa available here https://civitai.com/models/4355/orangecocoa-5050-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding to induce a side-view/profile image of oral deepthroat. It can actually do a variety of poses but should always be mostly side-on if it's working. It has a preference for hand_on_another's_head too. Prompt penis to make it visible, or put penis in negative prompt to induce a balls-deep shot.
Goes well with this https://civitai.com/models/4593/corneos-runny-makeupmascara-embedding (can't believe I forgot to use it in the examples)
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
If you enjoy this embed, I genuinely love seeing your creations with it - you can attach them to a review if you're not aware (but not comments sadly)!
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This is a textual inversion embedding to generate doggystyle sex positions with a focus on the arm(s) being pulled back, from a side-on/profile view. Use corneo_side_doggy to activate.
This is a lot more temperamental than my other sex position embeddings (hands are really difficult), but when it does work the results can be great. It was trained exclusively with arm-grab sex facing to the left side of the image, so the vast majority will generate that way but you can get some others in there depending on your tags. You can always flip the image if you want it facing the other way. An interesting quirk of the way this embedding works is that the position will depend on the width of the image - tall images will have the position be more upright, while wider ones will be more horizontal/doggystyle. It can also do spitroast mmf threesome with a little encouragement.
Example images produced with OrangeCocoa and featuring characters from my other embeds, you can find both on my profile https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for a spitroast double-penetration threesome sex position.
Pretty straightforward, you should just be able to tag things like 2boys, 1girl or mmf_threesome to get the desired pairings, with room for others. As always with SD though, multi character prompts can be a bit tricky. It'll sometimes do a foursome too.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding to induce a tentacle sex scene, mostly trained on women aimed at vaginal penetration. It's possible to prompt for different colours of tentacles, but doesn't always work.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Yor Forger / Yor Briar from Spy x Family in her Thorn Princess assassin outfit.
She has a tendency to hold one of her needle weapons so you might want to negative prompt to help remove that.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Tifa's outfit from classic Final Fantasy VII (not Remake). The embedding will lean towards characters appearing like Tifa but can be overridden with other tags to change how the character looks.
The embedding was trained on NAI so will work best with NAI-based models. The example images were generated with Anything v3.
If you want even more Tifa outfits, I've an embedding for her refined purple dress too https://civitai.com/models/4122/tifas-purple-refined-dress-embedding-by-corneo
Version 2 examples generated with my 7th Heaven Mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding trained on the purple dress worn by Tifa Lockhart in Final Fantasy VII Remake. Should be able to apply to other characters/designs with the right tags, though of course by itself it will lean towards creating characters that look like Tifa.
v2 example images produced with my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix. The embedding was trained on NAI so will work best with a NAI-based model.
Use corneo_tifa_dress to activate.
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Tifa Lockhart wearing her swimsuit outfit from Final Fantasy VII Ever Crisis.
Example images produced with either my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix or Shinra26 mix https://civitai.com/models/5943/corneos-shinra26-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Tracer (Lena Oxton) from Overwatch.
As with most of the Overwatch girls, the eyes don't come out great by default for some reason (probably the visor?) so I recommend including something like brown_eyes in the prompt to help focus on the eyes.
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Widowmaker (Amélie Lacroix) from Overwatch.
Use corneo_widowmaker to activate. The eyes aren't that great with this embedding by itself (but it was a request so I want to release it anyway), so I recommend detailing the face a bit more in your prompt. Also as with most characters with different skin colors, the skin sometimes changes back to flesh color so it's a good idea to put blue_skin with some emphasis in your prompt.
Example images produced with OrangeCocoa available here https://civitai.com/models/4355/orangecocoa-5050-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding to add cross-shaped pasties over nipples. Protect modesty!
It isn't completely accurate so may take some gens, and you might want areolae and areloa_slip in the negative prompt if you don't want the areola showing around the X (I did try to train this out as the combination of both ends up too well aligned for my liking). Doesn't mix quite as well with some of my other embeddings either, so perhaps not my usual level of quality.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Yor Forger / Yor Briar from Spy x Family in her usual housewife outfit.
Despite a few attempts to improve the hair colour, it keeps coming out dark green rather than black so you probably want an emphasised black_hair tag along with this. Otherwise I'm quite happy with how it turned out (finally got the eyes right), but this one might be a bit too trained on the clothes making it hard to change them to something else (though changing clip skip from 2 will do that).
Example images created using my 7th Heaven mix https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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This is a textual inversion embedding for Yoruichi Shihouin from Bleach. Use corneo_yoruichi to activate.
Example images produced with my 7th Heaven mix available here https://civitai.com/models/4669/corneos-7th-heaven-mix
Check out my other civitai models for more characters and sex positions! https://civitai.com/user/Master_Corneo
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Due to frustrations trying to get women with darkskin consistantly I have created this TI to solve the issue
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
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To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
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该页面为推荐用于 AnimeIllustDiffusion [1] 模型的所有文本嵌入(Embedding)。您可以从版本描述查看该文本嵌入的信息。
您应该将下载到的负面文本嵌入文件置入您 stable diffusion 目录下的 embeddings 文件夹内。之后,您只需要在填写负面提示词处输入 badv4 即可。
每个文本嵌入将从以下参数描述其特性:
正/负面文本嵌入:如果一个文本嵌入是正面文本嵌入,则您应该将它填写在正面提示词内发挥作用;反之,如果一个文本嵌入是负面文本嵌入,则您应该将它填写在负面提示词内发挥作用。
作用范围:一个文本嵌入主要影响的画面内容。
向量数:代表该文本嵌入占多少个词元。通常来说,您输入提示词中超过 75 个词元的部分会被忽略。因此,一个文本嵌入的向量数越少,您填入它之后剩余输入提示词的空间越多。
向量强度:一个词元向量值的大小。向量强度越高,效果越强。普通词元的向量强度为[-0.05,0.05]。不可将用括号增强提示词等效于增强向量强度。
This page contains all the text embeddings recommended for use with the AnimeIllustDiffusion model [1]. You can view information about the text embeddings from the version description.
You should place the downloaded negative text embedding file in the embeddings folder of your Stable Diffusion directory. After that, you only need to enter "badv4" in the field for negative prompts.
Each text embedding is described by the following parameters:
Positive/Negative Text Embedding: If a text embedding is a positive text embedding, it should be used in positive prompts. Conversely, if a text embedding is a negative text embedding, it should be used in negative prompts.
Scope: The main content of the image that a text embedding will primarily affect.
Vector Count: The number of token that the text embedding represents. Generally, the part of a prompt containing more than 75 tokens will be ignored. Therefore, the fewer the number of vectors in a text embedding, the more space you will have left to input the prompt.
Vector Strength: The magnitude of a token's vector. The higher the vector strength, the stronger the effect. The vector strength of token is usually between [-0.05, 0.05]. Using parentheses to enhance prompts is not equivalent to increasing vector strength.
[1] AnimeIllustDiffusion Model Webpage: https://civitai.com/models/16828/animeillustdiffusion
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Not mine, and I make no claim to ownership or the like.
Link to Creator's Page:
https://civitai.com/user/sopenit494/models
Direct link to Model Page:
https://civitai.com/models/4108?modelVersionId=84134
A re-upload of a group of embeddings created by sopenit494 since I couldn't find the resource on CivitAI for on site generation. This set of embeddings is designed to work for SD 1.5, using with SDXL/Pony will have extremely minimal to no effect!
Re-uploaded explicitly to use on-site, or on other site generation services.
Thorough usage guide continues below, if you are new at generation or unsure what the embeddings do then you should continue reading.
(Place these in prompt when using the embedding(s), just the acronyms not the meanings)
Credit to Technoyote (formerly ShisoFox) for going through the effort and asking the creator what they meant.
Simply placing these in your prompt is not enough, you also need to select the resource in the resource category on the site in use, in-depth breakdown below.
A step-by-step breakdown...
Select the resource, each file is separate so if you want the effect of all of them then you need to select all four of them in the resources category using the dropdown when searching up the resource. If you just want one, then just select the one you want to use.
Know what you want out of your prompt and how to prompt.
Know what each embedding tag means. If you are unsure, go back up.
And for the most important step...
………………………………………………………
Place in your NEGATIVE for intended effect, if you want the inverse then place in your actual prompt.
And that's it, it's that easy.
………………………………………………………
Do not tip this resource, I did not make this.
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Hi all, I've been encouraged to upload this embedding for wider use here. I feel it still has some shortcomings but perhaps they can be overlooked for now :)
This embedding is intended for creating POV deepthroat scenes and should do so with some success with the following caveats:
It is HIGHLY model-dependent - if the model knows this basic pose already it should do OK, otherwise it may fail completely. The images here were generated with the Ultra Realistic Porn Merge checkpoint.
Due to training data, it tends to create similar eyes and facial expressions. Not bad but a little restrictive
Still a little hit and miss in the best case, you may need to gen a dozen and img2img the best one to get a nice result
'Restore faces' can make the result worse
I prompt in the general format of 'blah, blah, a photo of a dpthrt woman, blah, blah', but it should be relatively flexible. Just reference the embedding name (dpthrt by default, but you can rename to anything) in your prompt, no additional trigger words required.
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A model attempting to replicate the ear_sex/mind_fuck booru tag (without the gore). For best results the weight will very from prompt to prompt and other TI's/LoRAs. Only tested with anime SD models, no plans for realistic. Sometimes the character's get the fucked_silly face, other times if turns into a blowjob. Set the weight low enough and you get a good ahegao face.
Note: consider adding "animal ears" to the negative prompt as that often shows up. That is from the images used to train.
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Original Hugging Face Repository
Simply uploaded by me, all credit goes to https://huggingface.co/gsdf.
Counterfeit-V3 (which has 2.5 and 2.5 as well) on Civitai - https://civitai.com/models/4468/counterfeit-v25
If you like this embedding, please consider taking the time to give the repository a like and browsing their other work on HuggingFace.
This embedding should be used in your NEGATIVE prompt. Adjust the strength as desired (seems to scale well without any distortions), the strength required may vary based on positive and negative prompts. Use the EasyNegative_pt (PickleTensors) version if you are unable to use SafeTensors embeddings.
Samples are, in order:
sample01 - Counterfeit-V2.0.safetensors
sample02 - AbyssOrangeMix2_sfw.safetensors
sample03 - anything-v4.0-pruned.safetensors
Strength comparison using AbyssOrangeMix2_sfw.
From Author
"This is a Negative Embedding trained with Counterfeit. Please use it in the "\stable-diffusion-webui\embeddings" folder. It can be used with other models, but the effectiveness is not certain."

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CLAP YOUR HANDS AND DON'T FORGET TO ❤️ THIS MODEL.
❤️ HELP GREATLY! ❤️
If you'd like to support me and do more:
https://ko-fi.com/edgonkofi - commissions open!
If you're looking for a >>LoRA Making Tutorial<<
I really didn't want to share this yet. Not because I want to hold out or anything, I just think it wasn't good enough yet.
To me it's at best a 5% improvement on my gens, at worst a placebo... Hence why I didn't feel like sharing it.
However, snce many of you asked I will share it, but as a beta test version so you can use it, give me your feedback, and tell me if it's good enough.
Have fun with edgQuality!
According to recent feedback, it would appear that this embedding works best for portrait-type pictures, or fashion shots.
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This is just a resource Upload for Sample-Images i created with these Embeddings.
They are not very versatile and good
Positive Prompt: epiCRealism
is trying to get more realistic lighting/composition and skin
Negative Prompt: epiCNegative
a photorealism helper as negative embedding

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This is just a resource Upload for Sample-Images i created with these Embeddings.
They are not very versatile and good
Positive Prompt: epiCRealism
is trying to get more realistic lighting/composition and skin
Negative Prompt: epiCNegative
a photorealism helper as negative embedding
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For luscious, obviously fake lips.
Face Restoration may turn the fake lips into a mustache/"monkey lips".
To avoid this, you can change/lower/disable the face restoration setting or first generate the model then paint over the lips with face restoration disabled.
Or generate first without face restoration, then with face restoration then combine in photoshop/gimp.
Used in examples: SD1.4 / UberRealisticPornMerge / Clarity19
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fcNeg is a Negative Embedding. You just install it in the embedding folder and then type fcNeg in the negative prompt. I don't know why it shows two trigger words. Ignore "fcneg-neg"
Subscribe for FBB images @ https://patreon.com/fitCorderAI
These prompts are positive prompts.
fcPortrait now has three variations, the base one, one with a sweaty/heat effect and another that adds detail and vibrancy. You only need to use one per image generation.
Designed to amplify the impact of your visual narratives, fcPortrait seamlessly blends a suite of powerful photography techniques into one game-changing embedding. From the dramatic emphasis of rim lighting to the dreamy allure of a bokeh background, every detail is accounted for. It harnesses the sophistication of a fast shutter speed to freeze motion and a low ISO setting to minimize noise, providing clarity that is second to none. The tool's ability to fill the frame with your subject, coupled with an eye-level angle, ensures a neutral yet compelling perspective. Prepare to elevate your artistry with fcPortrait.
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This is a textual inversion embedding for footjob position image generations,and you can use kinds of models for generation.the example image is not very well,but you can do better than me! :)
AMD is not easy,but I have tried my best.
the file should named footjob_position.pt
AnyHentai or AbyssOrangeMix2 - Hardcore is recommended.
VAE you can use kl-f8-anime2,or others.
https://civitai.com/models/5706/anyhentai
use (Footjob_Position) to activate,need bracket!
There is still many problem,like extra pennis,mosaic processing,wired position...
here is the new footjob model with lora:https://civitai.com/models/27060/footjobpose
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
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To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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Join our community Discord:

You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
The Complete Catalog Download | Patreon
These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
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它的作用很简单——让图像更清晰。它会使图像中所有模糊的区域更加清晰,如果这破坏了你原本的画风,则停止使用它。我不建议调整它的权重。
将下载得到的 .pt 文件放入您 stable diffusion 的 embeddings 文件夹内(无需重启 webui)。在生成图像时,于负面提示词内输入你下载的 .pt 的文件名(不包括扩展名)。例如,你下载的文件名叫 'lr.pt' 则输入 'lr' 即可。
What it does is simple - it makes the image clearer. It will sharpen any blurred areas in the image, if this ruins your original style, stop using it. I don't recommend adjusting its weight.
Put the downloaded .pt file into the embeddings folder of your stable diffusion (no need to restart the webui). When generating the image, input the filename (extension is excluded) of the .pt file you downloaded in the negative prompt. For example, if the file name you downloaded is 'lr.pt', just enter 'lr'.
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Collection of 4 embedding's for easy triggering breasts size.
Size detail:
kkw-h-bb --> huge
kkw-b-bb --> big
kkw-m-bb -->medium
kkw-s-bb --> small
Tested on realistic-anime-toon model. (sample include for each one).
For better result keep cfg lower, over cfg 16 you need to lower weight of embedding.
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-Update v1.6
This is Reworked version for try to make it more flexible an powerful.
Give a review is appreciated, and please report where it not work.
Tested with ONLY it on negative, and with other embedding for better compatibility.
Made some sample image with old v1.4 prompt for comparison.
-Update v1.4
reworked for better understanding prompt.
try to make it get clear line/color in cartoon-anime style prompt.
tested with and without some of my other embedding for make it not washing out other embedding.
worked for do better background consistence.
Some sample image made with my old model KKW Ideal and standard DPM++ 2M Karras sampler.
When use it in negative, and you want to weight it, just use these tips: after weight it, add it again without weight, like
(kkw-new-neg-v1.4:1.8) kkw-new-neg-v1.4
********
If in your model weight it giving bad result, try adding it multiple times without weight.
After many test, i reworked my negative for made a single one that not waste so much prompt and work great for all style you want.
The last 8 image attached are same prompt at different cfg(2,5,8,11,15,20,25,30) to show how this negative work.
Tested on my own model, let me know how work in other model, share result help me to do it better.
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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它的作用很简单——让图像更清晰。它会使图像中所有模糊的区域更加清晰,如果这破坏了你原本的画风,则停止使用它。我不建议调整它的权重。
将下载得到的 .pt 文件放入您 stable diffusion 的 embeddings 文件夹内(无需重启 webui)。在生成图像时,于负面提示词内输入你下载的 .pt 的文件名(不包括扩展名)。例如,你下载的文件名叫 'lr.pt' 则输入 'lr' 即可。
What it does is simple - it makes the image clearer. It will sharpen any blurred areas in the image, if this ruins your original style, stop using it. I don't recommend adjusting its weight.
Put the downloaded .pt file into the embeddings folder of your stable diffusion (no need to restart the webui). When generating the image, input the filename (extension is excluded) of the .pt file you downloaded in the negative prompt. For example, if the file name you downloaded is 'lr.pt', just enter 'lr'.
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Hello everyone :) This embedding is for creating a micro bikini, or microkini. Prompting should be flexible, I usually do some variation on 'microkini woman' but it also works like 'woman, microkini'.
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This embedding is for creating microskirts and miniskirts. It should work across a variety of models. I've noticed in NSFW-centric models it tends to produce bikini bottoms instead of skirts, but more SFW models behave a little better.
Enjoy!
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此嵌入專注於修正手指數量與形狀問題,可能導致模型風格改變
v5:
negative_hand-neg訓練於10張圖像而成。
v22
使用75個vector,訓練資料使用v5與其他負面嵌入產生的兩百張圖像。
v49
使用32個vector,訓練資料使用不同風格模型與其他負面嵌入產生的六百張圖像。
Translated by ChatGPT
This embedding focuses on correcting issues related to the number and shape of fingers, which may result in a change in the model's style.
v5:
negative_hand-neg is trained on 10 images.
v22:
Utilizing 75 vectors, the training data consists of 200 images generated from v5 and other negative embeddings.
v49
Utilizing 32 vectors, the training data consists of 600 images generated from different style models and other negative embeddings.
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This negative embedding is intended for use with Illuminati Diffusion v1.1, feel free to use it elsewhere but I can't guarantee your success.
This must be used as a negative prompt, do not use as a positive.
Intended model to use with -
https://civitai.com/models/11193

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If you like this and wanna throw over some support, buy me a coffee.
This is a negative embedding for grapefruit v4, because i kept forgetting keywords and strengths when switching between models while testing trainings.
It's quite simple, just 4 vectors, the closest equivalent would be "(worst quality, low quality:1.4)", although not quite since I'm messing with the weights directly and this gives a slightly different result.
In theory it should be functional in other anime models as well, but haven't tested it.
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Currently, there are more and more negative embedding, while many are also very good and easy to use. However, almost all of them currently have a big problem... They change the main or initial artstyle of the used model. Best example would be my bad_prompt_version2 Negative Embedding. It helps enormously with the quality of an image, but drastically changes the artstyle of the model. That's not the point of it. For this reason, I have now trained my new Negative Embedding negative_hand!
An example of the issue:
negative_hand is supposed to fix the said issue. That means it should improve the quality of the image, but without changing the initial artstyle of the model.
Pro:
The artstyle of the model can be used without any problems and without possible artstyle changes.
The quality of the image and incorrect anatomy like hands are improved.
Con:
Since this embedding cannot drastically change the artstyle and composition of the image, not one hundred percent of any faulty anatomy can be improved.
To use this embedding you have to download the file aswell as drop it into the "\stable-diffusion-webui\embeddings" folder.
Please put the embedding in the negative prompt to get the right results!
For special negative tags such as "malformed sword", you still need to add them yourself. The negative embedding is trained on a basic skeleton for the negative prompt, which should provide a high-resolution image as a result.
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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This negative embedding is intended for use with Illuminati Diffusion v1.1, feel free to use it elsewhere but I can't guarantee your success.
This must be used as a negative prompt, do not use as a positive.
Intended model to use with -
https://civitai.com/models/11193

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This embedding will tell you what is REALLY DISGUSTING🤢🤮
So please put it in negative prompt😜
⚠This model is not trained for SDXL and may bring undesired results when used in SDXL.
If you use SDXL, recommended this 👉 DeepNegative for SDXL version
how to use TI model?
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion
what is negative prompt?
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Negative-prompt
[Special Reminder] If your webui reports the following errors:
- CUDA: CUDA error: device-side assert triggered
- Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed
- XXX object has no attribute 'text_cond'
Please try using a model version other than 75T.
> The reason is that many scripts do not handle overly long negative prompt words (greater than 75 tokens) properly, so choosing a smaller token version can improve this situation.
These embedding learn what disgusting compositions and color patterns are, including faulty human anatomy, offensive color schemes, upside-down spatial structures, and more. Placing it in the negative can go a long way to avoiding these things.
-
Number of vectors per token
64T: Train over 30,000 steps on mixed datasets.
75T: embedding limit maximum size, training 10,000 steps on a special dataset (generated by many different sd models and special reverse processing)
75T: The most ”easy to use“ embedding, which is trained from its accurate dataset created in a special way with almost no side effects. And it contains enough information to cover various usage scenarios. But for some "good-trained-model" may hard to effect
and, change about may be subtle and not drastic enough.
64T: It works for all models, but has side effect. so, some tuning is required to find the best weight. recommend: [( NG_DeepNegative_V1_64T :0.9) :0.1]
32T: Useful, but too more
16T: Reduces the chance of drawing bad anatomy, but may draw ugly faces. Suitable for raising architecture level.
4T: Reduces the chance of drawing bad anatomy, but has a little effect on light and shadow
2T: ”easy to use“ like T75, but just a little effect
Because this embedding is learning how to create disgusting concepts, it cannot improve the picture quality accurately, so it is best used with (worst quality, low quality, logo, text, watermark, username) these negative prompts.
Of course, it is completely fine to use with other similar negative embeddings.
draw building: https://imgur.com/5aX9yrP
hand fix: https://imgur.com/rDlsrgS
portrait (with PureErosFace): https://imgur.com/1Lqq595 https://imgur.com/V5kXBXz
fusion body fix:
I tried to make SD learn what is really disgusting with deepdream algorithm, the dataset is imagenet-mini (1000 images chosen randomly from the dataset again)
deepdream is REALLLLLLLLLLLLLLLLLLLLLY disgusting 🤮 and process of training this model really made me experience physical discomfort 😂

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This embedding will tell you what is REALLY DISGUSTING🤢🤮
So please put it in negative prompt😜
⚠This model is not trained for SDXL and may bring undesired results when used in SDXL.
If you use SDXL, recommended this 👉 DeepNegative for SDXL version
how to use TI model?
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Textual-Inversion
what is negative prompt?
https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Negative-prompt
[Special Reminder] If your webui reports the following errors:
- CUDA: CUDA error: device-side assert triggered
- Assertion -sizes[i] <= index && index < sizes[i] && "index out of bounds" failed
- XXX object has no attribute 'text_cond'
Please try using a model version other than 75T.
> The reason is that many scripts do not handle overly long negative prompt words (greater than 75 tokens) properly, so choosing a smaller token version can improve this situation.
These embedding learn what disgusting compositions and color patterns are, including faulty human anatomy, offensive color schemes, upside-down spatial structures, and more. Placing it in the negative can go a long way to avoiding these things.
-
Number of vectors per token
64T: Train over 30,000 steps on mixed datasets.
75T: embedding limit maximum size, training 10,000 steps on a special dataset (generated by many different sd models and special reverse processing)
75T: The most ”easy to use“ embedding, which is trained from its accurate dataset created in a special way with almost no side effects. And it contains enough information to cover various usage scenarios. But for some "good-trained-model" may hard to effect
and, change about may be subtle and not drastic enough.
64T: It works for all models, but has side effect. so, some tuning is required to find the best weight. recommend: [( NG_DeepNegative_V1_64T :0.9) :0.1]
32T: Useful, but too more
16T: Reduces the chance of drawing bad anatomy, but may draw ugly faces. Suitable for raising architecture level.
4T: Reduces the chance of drawing bad anatomy, but has a little effect on light and shadow
2T: ”easy to use“ like T75, but just a little effect
Because this embedding is learning how to create disgusting concepts, it cannot improve the picture quality accurately, so it is best used with (worst quality, low quality, logo, text, watermark, username) these negative prompts.
Of course, it is completely fine to use with other similar negative embeddings.
draw building: https://imgur.com/5aX9yrP
hand fix: https://imgur.com/rDlsrgS
portrait (with PureErosFace): https://imgur.com/1Lqq595 https://imgur.com/V5kXBXz
fusion body fix:
I tried to make SD learn what is really disgusting with deepdream algorithm, the dataset is imagenet-mini (1000 images chosen randomly from the dataset again)
deepdream is REALLLLLLLLLLLLLLLLLLLLLY disgusting 🤮 and process of training this model really made me experience physical discomfort 😂
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You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
The Complete Catalog Download | Patreon
These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
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You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
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These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
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A very versatile negative embedding that helps generate high quality images. Higher chances of producing normal looking hands in realistic images.
Keep your token usage to below 75 for best effect. Most of the time, you don't need to add other quality specifiers to your prompts (e.g. worst quality, bad quality).
Negative prompt: bad_pictures
If you notice any artifacts, you can try increasing or decreasing the weighting like this: (bad_pictures:1.1) or (bad_pictures:0.8).
Values between 0.8 and 1.2 seems to work best (clip size 2):
VersaMix (https://civitai.com/models/20865/versamix)
Anything V5 (https://civitai.com/models/9409?modelVersionId=30163)

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A very versatile negative embedding that helps generate high quality images. Higher chances of producing normal looking hands in realistic images.
Keep your token usage to below 75 for best effect. Most of the time, you don't need to add other quality specifiers to your prompts (e.g. worst quality, bad quality).
Negative prompt: bad_pictures
If you notice any artifacts, you can try increasing or decreasing the weighting like this: (bad_pictures:1.1) or (bad_pictures:0.8).
Values between 0.8 and 1.2 seems to work best (clip size 2):
VersaMix (https://civitai.com/models/20865/versamix)
Anything V5 (https://civitai.com/models/9409?modelVersionId=30163)
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This negative embedding is intended for use with Illuminati Diffusion v1.1, feel free to use it elsewhere but I can't guarantee your success.
This must be used as a negative prompt, do not use as a positive.
Intended model to use with -
https://civitai.com/models/11193

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This embedding removes most of the clothing from characters if used in the positive prompt and prevents nudity if used in the negative prompt.
In some UIs you can type:
"nsfwEM" for the SD1.5 version
"nsfwEmPXL" for the SDXL or Pony version
or you pick the right version out of a list of modifiers, it all depends on the image creation method you use (sadly cannot cover all of them).
The trigger word is basically the filename of the embedding, so if you change that the trigger also changes.
If the embedding does not work, make sure you use the right version as they are not really compatible, meaning no SD1.5 embedding on SDXL or Pony and no SDXL or Pony embedding on SD1.5 models. On external UIs, you will get an error for mismatched embeddings and it is ignored, I assume the same happens on the CivitAI creation and mismatched are just ignored or the trigger word is read as part of the prompt without the additional token effects.
I use ComfyUI for most of my pictures and to use embeddings there, you type embedding:<filename>:<strength> in your prompt, there might be other ways but that is how I use it. The same works on Fooocus as well.
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This embedding removes most of the clothing from characters if used in the positive prompt and prevents nudity if used in the negative prompt.
In some UIs you can type:
"nsfwEM" for the SD1.5 version
"nsfwEmPXL" for the SDXL or Pony version
or you pick the right version out of a list of modifiers, it all depends on the image creation method you use (sadly cannot cover all of them).
The trigger word is basically the filename of the embedding, so if you change that the trigger also changes.
If the embedding does not work, make sure you use the right version as they are not really compatible, meaning no SD1.5 embedding on SDXL or Pony and no SDXL or Pony embedding on SD1.5 models. On external UIs, you will get an error for mismatched embeddings and it is ignored, I assume the same happens on the CivitAI creation and mismatched are just ignored or the trigger word is read as part of the prompt without the additional token effects.
I use ComfyUI for most of my pictures and to use embeddings there, you type embedding:<filename>:<strength> in your prompt, there might be other ways but that is how I use it. The same works on Fooocus as well.
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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This one vector embedding will help you generate pictures of anime girls in tight yoga pants, viewed from behind.
The model used for the generation of these images was Anything 4.5. Anime models with danbooru style tags are the recommended use case for this embedding, as this embedding doesn't bring out the "puss" in other types of models. You should still get well figured women in tight yoga pants though.
Check out the images for the prompting information.
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A textual inversion embedding for generating clothings with pokies nipples.
Add p0k13s to your prompt.
Add pink nipples to negative if it generates normal nipples over clothes.
Add anime, cartoon to negative to make realistic images.
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Hugely inspired by Master Corneo and all of his great concept embeddings (his work is amazing, check it out!). I wanted to learn how to make concept embeddings, so I tried my hand at the "back view blowjob."
No trigger words needed, just include the name of the embedding. It is definitely a touchy embedding. It can get overpowered, be overpowered, and it can generate some real mutants, but one in five or so generations is pretty darn good. With cleanup in img2img and inpainting, it can make real gems.
All sample images are straight out of img2img to show what it's actually outputting, and should be replicable. I used clip skip of 1, and otherwise pretty standard settings. hands_in_another's_hair and hands_on_another's_head can target for that. lying can get the girl off her knees. This model was trained exclusively on images where the girl's face is not showing or is barely showing, so face and looking_at_viewer make good negatives. I trained it on anime and photography, but I've only tested it on making anime so far.
I'd hope to improve the embedding in the future by better curating and tagging the dataset in the future.
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You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
The Complete Catalog Download | Patreon
These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
+ Use the model without crediting the creator
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Join our community Discord:

You can now get all my LoRAs in one single package if you subscribe to my Patreon (including those not on CivitAI):
The Complete Catalog Download | Patreon
These are the textual inversion you'll often find on the posts of my models and LoRAs.
They are nothing special, but I've been requested multiple times to post them, so here we are :)
These have been tested a lot with my custom checkpoints:
Right now there are two inversions:
Hotify: changes a girl appearance to make it "sexier"
Prettify: adds makeup and change the perspective to a closeup
PrettyEyes: adds makeup focused on the eyes and eyelashes
NoBG: helps to avoid plain backgrounds when used in the negative prompt (or use it in the positive prompt if you want them).
NoTxt: helps to avoid text in the pictures when used in the negative prompt
Badpic: put this in the negative prompt to improve the quality of the picture
Learn how to create pictures like mine with my step-by-step tutorials:
If you want to create images with a high LoRA weight, I highly suggest you to check the tutorial.
Check out my Patreon for exclusive content:
https://www.patreon.com/Inzaniak
If you want to support my work for free, you can also check out my music/art here:
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This embedding will generate good-looking girl faces, close concept of kpop idols or Instagram girls. For SD1.5 based models.
what means "Pure Eros"?
> Pure Eros is a simple translation of the Chinese word "纯欲", which is a popular memes in the Chinese internet, the english words close to the semantics of this word are "ulzzang face", "korean idol face", so obviously this embedding will be close to the Asian aesthetic.🤗
Recommended config:
1. prompt
[:(detailed face:1.2):0.2]: When drawing high-quality faces, do not use the "detail face" tag at 0 steps, otherwise it may lead to deviation from the original semantics of embedding
shiny eyes, looking at viewer: If your generated faces often close their eyes, adding "shiny eyes, looking at viewer" will open them instantly
2. negative prompt:
long hair: add it to fix some errors caused by training data bias...(although it does not always affect the output, my experiments found that it seems that the length of the hair in a certain scene will affect the quality of the clothes. In short, the relationship is very subtle, you can try to control the length of the hair to change the outfit quality)
full body: Most of the data set is close-up, so it doesn't perform well on the "full body" scene, I'm trying to fix it in the next version
disabled body: If a deformed body structure is produced, please add it
DeepNegative: A negative embedding I released can be used with PureErosFace very well, it is recommended to try
Recommended model:
It is best to use a model with a realistic style. If it is an anime-style model, it may output a mask-like face.
1. LOFI
merged model I released, works fine with this embedding
https://civitai.com/models/9052/lofi
examples https://imgur.com/a/nFRE1Z4.jpg
2. izumi
Most of my example images are generated by izumi:
https://civitai.com/models/1364/izumi
examples and test: https://imgur.com/ZirqVWK.jpg
3. F222
Also produced a good-looking face, although I only experimented with a few, but they all look good for work
https://civitai.com/models/1188/f222
examples and test: https://imgur.com/ixyVXTP.jpg
4. HassanBlend
https://civitai.com/models/1173/hassanblend-1512-and-previous-versions
examples and test: https://imgur.com/no066sF.jpg

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This is a 75 token negative embedding for the model Realistic Vision v2.0. It should you help attain a more realistic picture when prompting. All training images were generated from that model, and all the training was also done on that model. The embedding will likely work on other models, but I have not tested it on other models.
To use this embedding you need to download it, put it in your embeddings folder, and then activate it in the negative prompt by typing out it's filename in the negative prompt. By default that will be "realisticvision-negative-embedding" (do not enter the file extension in the negative prompt). If you don't like that activation phrase, then you can change the filename to whatever you want, and that becomes the new activation phrase.
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Model checkpoint: rMadArt (SD1.5) | Stable Diffusion Checkpoint | Civitai
Basic negative bad prompts
Contrast correction (high)
Photorealistic
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UPDATE: please check out my newest Nico Robin LoRA https://civitai.com/models/18008/nico-robin-one-piece-pre-and-post-timeskip-lora
Making models can be expensive. Do you like what I do? Consider supporting me on Patreon 🅿️ or feel free to buy me a coffee ☕
Some pics use the Wano Style LoRA https://civitai.com/models/4219/one-piece-wano-style-lora
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This is a textual inversion embedding to generate Rukia Kuchiki from Bleach. Use Rukia to activate the embedding.
This was trained with a dataset that Included 40 pictures using the NAI model. It was mainly trained on her face and upper body.
I used a small dataset because I'm new to this and wanted to experiment. I liked the results of the training and wanted to post it here. I will continue to train other characters and I'm sure it will Improve over time.
Example Images generated using FusionDanceAnime By AURat:
https://civitai.com/models/3958/fusiondanceanime
Negative embedding used in the negatives: https://huggingface.co/datasets/Nerfgun3/bad_prompt
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
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To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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大概在1月份训练的史莱姆娘模型,在pivix发布过,微调这个embedding后在这里发一遍
The slime girl model that was trained in January was released on pivix. After fine-tuning the embedding, post it here again.
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If you notice in some images ther is (str_bi) prompt, that is the old word trigger so don’t use it
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Recently I released my embedding toolkit which has a variety of tools and fixers I've come up with over the past 6 months. I considered adding my emotion embeds to that listing, however I want to keep that specific to helper tools, so I've decided to break this emotion pack into it's own listing.
I've designed these embeds to be lightweight and easy to use. Just add the emotion pack you want right next to your subject name as follows:
a portrait of a Happy512 clown
While they will likely still work if you plop them in other places in your prompt, they work best when they are placed just preceding your subject.
As with my toolkit, your results may vary. I make no guarantees, however I have been using these for awhile now and they seem pretty consistent, especially when mixed with my other embeddings available on my civit page. Follow me here on Civit to be notified when I release new embeddings!
--------
To use these embeddings in AUTOMATIC1111, copy them to your embeddings folder in your stable-diffusion-webui directory. No need to restart, just invoke the embedding from your prompt. Make sure you are using a 1.5 version compatible model or you will get errors!
--------
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Do you want to support me? Consider being a patron on Patreon to vote on train polls and access stuff early. ❤️
My first pose embed so it has some issues but I'll update it in future.
Known Issues:
1- Instead of cropping i added 512 512 white background on images and this causing white borders appearing on images time to time.
2?- Sometime Embed does too much gaping but it's up to your taste if it's an issue or not 0.0 ... You can try giving less weight to the embed like 0.8 for less gaping
Trained with 120 image and 3000 steps with clip skip 2. Tested on Anythingv3 and Corneo's 7th Heaven Mix
I hope you guys like it. I also open character polls and requests in my Discord server feel free to drop and say hi ^^
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This is a textual inversion that I made inspired by The Last of Us, created with Dream Artist on a single image that I generated. I was trying to do a post-apocalyptic feel. It adds a lot of gadgets, rusted buildings, tech gear, does some really fun tattoos, etc to generations. It is a powerful TI, so play with weights or even try to use the negative embedded! :)
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Summarize the characteristics of the three versions:
1. The initial version has the strongest comprehensive ability, similar to a rifle, and is basically capable of sticking out the tongue in any scene, except for a bit of art style pollution (American pornographic photography style), and may not be able to stick out the tongue when facing the character EMB/LORA with poor generalization ability.
2. The tooth version is more aggressive and has tension like a machine gun, but its ability to pry the tongue of characters with low generalization ability may not be as good as the initial version. The vector strength is similar to the initial version. You can understand vector strength as the caliber of a bullet. The caliber of machine gun bullets and rifle bullets is also normal.
3. The face version specially strengthens the vector strength, which is equivalent to a large caliber Sniper rifle. This means that this version is more able to pry open the mouth of a low generalization ability character and make her stick out her tongue than the other two versions.
The initial version had a more pink and white tongue, while the other two versions had a natural and healthy red color. According to traditional Chinese medicine theory, powdering and whitening of the tongue coating means staying up late and excessive indulgence. So usually the pink and white tongue will have a stronger Sexual suggestiveness, indicating that the woman is very lewd or simply a Sex worker.
Finally, regardless of which version, using it alone is very impressive. Let's consider using it with the character EMB/LORA as three different types of firearms shooting targets with different levels of protection, resulting in different results.
Everything is absolute. It is recommended to use all three versions and practice everything on your own. My summary is for reference only. It is best to reply to your practice results and let me know your usage situation.
总结三个版本的特点:
1、初始版本综合能力最强犹如步枪,基本上能胜任任何所有场景的伸舌头需要,唯独有点画风污染(美国色情摄影画风),且在面对泛化能力较差的角色emb/lora时可能会伸不出舌头。
2、牙齿版本比较奔放和具有张力犹如机枪,但在撬动低泛化能力的角色的舌头能力上可能还不如初始版本。向量强度和初始版本差不多。你可以把向量强度理解成子弹的口径。机枪子弹和步枪子弹口径一样也是正常的。
3、脸版本专门强化了向量强度,相当于大口径狙击步枪。这意味着该版本比其他两个版本更能撬开低泛化能力角色的嘴让她伸出舌头来。
初始版本的舌头更粉更白,另外两个版本则偏自然健康的红色。按照中医理论,舌苔发粉发白意味着熬夜和纵欲过度。所以通常来说粉白色的的舌头会有更强烈的性暗示,表示该女性非常淫荡或者干脆就是性工作者。
最后,不论哪个版本,单独使用都非常牛逼。姑且把和角色emb/lora搭配使用看作是三把不同类型的枪械射击不同防护等级的目标造成的结果不同吧。但凡事无绝对,建议三个版本都要有都要用,一切靠你自己去实践,我的总结仅供参考,最好能把你的实践结果回复,让我知道你们的使用情况。
______________________________________________________________________________________________
about face version
This version that consciously enhances the ability to stick out the tongue in conjunction with the character EMB, especially the non white female character EMB. Can maximize the retention of the character's face so that it does not deform and become another person.
Because different characters EMB/LORA have different qualities and generalization abilities, if you want to achieve a perfect effect, you can refer to my prompts, mix and use the three versions, and try different combinations.
If no matter how much you try, you still can't stick out the character's tongue, then give up. This indicates that the generalization of the character EMB/lora you choose is extremely poor!
If you appreciate the highly generalized character EMB (with high compatibility with tongue EMB), if you have any desired characters, please let me know and I will train them when I have time.
For more examples of tongue sticking, please refer to my other character EMB posts
PS:
Pay special attention to woman like Chen Qiao En who have a sense of mixed race. You must use the way of double confirmation prompt+tongue EMb prompts rear mounted so that her face will not become another person.
这个版本有意识地增强了与角色EMB,特别是非白人女性角色EMB一起伸舌头的能力。可以最大限度地保留角色的脸,使其不会变形并变成另一个人。
因为不同的角色emb/lora有着不同的品质和泛化能力,所以如果你想达到一个完美的效果,可以参考我的提示词,三个版本混合使用、尝试不同的搭配组合。如果不论怎么尝试还是伸不了角色的舌头,那放弃吧,这表示你选用的角色emb/lora的泛化性已经差到极致。
如果你欣赏高泛化性的角色emb(与舌emb适配性高),有想要的角色可以告诉我,有空我会训练。
更多的伸舌头示例图可以参考我发布的其他角色EMB。
ps:要特别小心陈乔恩这样有点混血感的女性,必须用双重确认+舌EMb的描述词后置的方式脸才不会变成另一个人
________________________________________________________________________________________
About Teeth version
Advantages: Strong expression and tension, fully demonstrating what it means to stick out your tongue with all your might.
Disadvantages: There is a lot of white feature vector pollution, and when partnering with non white female characters EMB/Lora, excellent prompt skills are required to ensure that the characters faithfully retain their faces while also being able to control their tongue extension.
Even if it is paired with the white female character EMB/Lora, it is necessary to be careful with prompts, otherwise it will also affect facial restoration.
will update a version in the future, which will keep the character's EMB face faithful(especially valuable for non white women emb)
优点:表现力和张力十足,充分展示了什么叫拼尽全力的伸舌头。
缺点:有较多的白人特征向量污染,在和非白人女性角色EMB/lora搭档时,需要高超的提示技巧才能让角色忠诚的保留脸部的同时又能驾驭伸舌头。
哪怕是和白人女性角色EMB/lora配合,也需要小心提示,不然也会影响脸部还原。
后续会更新一个版本,忠诚保留角色emb脸部的版本(对非白人女性emb特别有价值)
________________________________________________________________________________________
This is the work that I have put the most effort into, with a very rich and varied tongue stretching action. It took almost three months from preparation to training. In the future, I will consider continuing to train the iterative version to increase the weight of this EMB, in order to cooperate with some poorly trained or poorly generalized characters EMB or Lora and also be able to stick out their tongues well.
这是我花费精力最多的一个作品,具有非常丰富多变细节的伸舌头动作。从准备到训练花费了几乎3个月的时间。后续会考虑继续训练迭代版本来增加该EMB的权重,以达到和某些训练不好或泛化差的人物emb或lora配合也能伸好舌头。
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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Not mine, and I make no claim to ownership or the like.
Link to Creator's Page:
https://civitai.com/user/sopenit494/models
Direct link to Model Page:
https://civitai.com/models/4108?modelVersionId=84134
A re-upload of a group of embeddings created by sopenit494 since I couldn't find the resource on CivitAI for on site generation. This set of embeddings is designed to work for SD 1.5, using with SDXL/Pony will have extremely minimal to no effect!
Re-uploaded explicitly to use on-site, or on other site generation services.
Thorough usage guide continues below, if you are new at generation or unsure what the embeddings do then you should continue reading.
(Place these in prompt when using the embedding(s), just the acronyms not the meanings)
Credit to Technoyote (formerly ShisoFox) for going through the effort and asking the creator what they meant.
Simply placing these in your prompt is not enough, you also need to select the resource in the resource category on the site in use, in-depth breakdown below.
A step-by-step breakdown...
Select the resource, each file is separate so if you want the effect of all of them then you need to select all four of them in the resources category using the dropdown when searching up the resource. If you just want one, then just select the one you want to use.
Know what you want out of your prompt and how to prompt.
Know what each embedding tag means. If you are unsure, go back up.
And for the most important step...
………………………………………………………
Place in your NEGATIVE for intended effect, if you want the inverse then place in your actual prompt.
And that's it, it's that easy.
………………………………………………………
Do not tip this resource, I did not make this.

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Enhances a cute Japanese woman face. I recommend using a weight between 0.1-0.5 to avoid a very childish face, also to preserve the checkpoint model.
Ensure impartiality regarding both eye and hair color, and refrain from imitating any specific person. It is capable of handling angles effectively, making it suitable for various purposes such as inpainting facial features with virtually any type of shape or form. There is a major favoritism towards light skin color.
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Works best for CG\Comic, The class of real photos is prone to NSFW pictures, but most likely only on SD 1.5. Other versions have not been tested, No bias in terms of eyes and face and also not mimicking an individual person,But it affects the size of the breasts as well as the shape of the cloths and hair. So this is the first beta version, comments welcome!
Simply download and put into your /embeddings folder. Then use 'under-boo' in your prompt. Reduce or increase the weight of the embedding by using this syntax:
(under-boo:1.2) increases the weight, or values below 1 to decrease (such as 0.6-0.8), Too high a weight will affect the overall clothing and hair performance
I recommend putting under-boo to words the end of the prompt, it's strong enough.

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Not mine, and I make no claim to ownership or the like.
Link to Creator's Page:
https://civitai.com/user/sopenit494/models
Direct link to Model Page:
https://civitai.com/models/4108?modelVersionId=84134
A re-upload of a group of embeddings created by sopenit494 since I couldn't find the resource on CivitAI for on site generation. This set of embeddings is designed to work for SD 1.5, using with SDXL/Pony will have extremely minimal to no effect!
Re-uploaded explicitly to use on-site, or on other site generation services.
Thorough usage guide continues below, if you are new at generation or unsure what the embeddings do then you should continue reading.
(Place these in prompt when using the embedding(s), just the acronyms not the meanings)
Credit to Technoyote (formerly ShisoFox) for going through the effort and asking the creator what they meant.
Simply placing these in your prompt is not enough, you also need to select the resource in the resource category on the site in use, in-depth breakdown below.
A step-by-step breakdown...
Select the resource, each file is separate so if you want the effect of all of them then you need to select all four of them in the resources category using the dropdown when searching up the resource. If you just want one, then just select the one you want to use.
Know what you want out of your prompt and how to prompt.
Know what each embedding tag means. If you are unsure, go back up.
And for the most important step...
………………………………………………………
Place in your NEGATIVE for intended effect, if you want the inverse then place in your actual prompt.
And that's it, it's that easy.
………………………………………………………
Do not tip this resource, I did not make this.
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Sell images they generate
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Run on Civitai
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veryBadImageNegative_v1.3使用了新的训练图集,在AOM3和viewer-mix_v1.7中使用时表现较好。
veryBadImageNegative_v1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mix_v1.7.
veryBadImageNegative是使用viewer-mix_v1.3生成的特殊图集训练而来的负面嵌入。
所以veryBadImageNegative是viewer-mix_v1.3的专用负面嵌入。
或许在其他的扩散模型中也有不错的效果,但缺乏验证。
veryBadImageNegative is a negative embedding trained from the special atlas generated by viewer-mix_v1.3.
So veryBadImageNegative is the dedicated negative embedding of viewer-mix_v1.3.
It may also have a good effect in other diffusion models, but it lacks verification.
关于v1.2:
增强图像的质量,削弱了风格。
在使用v1.2版本时,可以降低一些权重以获得更好的灵活性。
例如:(veryBadImageNegative_v1.2-6400:0.9)
About v1.2:
Enhance image quality and weaken style.
When using v1.2, you can reduce some weights to obtain better flexibility.
For example: (veryBadImageNegative_v1.2-6400:0.9)
关于v1.0与v1.1的差异:
几乎没有差别,仅用于训练的图集在生成参数有一些微妙的差别。
关于1600~6400的差异:
数字代表了训练步数,理论上步数越多效果越好。
About the difference between v1.0 and v1.1:
There is almost no difference. The atlas used for training only has some subtle differences in the generation parameters.
About the difference between 1600 ~ 6400:
The number represents the number of training steps. In theory, the more steps, the better the effect.
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veryBadImageNegative_v1.3使用了新的训练图集,在AOM3和viewer-mix_v1.7中使用时表现较好。
veryBadImageNegative_v1.3 uses a new training atlas and performs well when used in AOM3 and viewer-mix_v1.7.
veryBadImageNegative是使用viewer-mix_v1.3生成的特殊图集训练而来的负面嵌入。
所以veryBadImageNegative是viewer-mix_v1.3的专用负面嵌入。
或许在其他的扩散模型中也有不错的效果,但缺乏验证。
veryBadImageNegative is a negative embedding trained from the special atlas generated by viewer-mix_v1.3.
So veryBadImageNegative is the dedicated negative embedding of viewer-mix_v1.3.
It may also have a good effect in other diffusion models, but it lacks verification.
关于v1.2:
增强图像的质量,削弱了风格。
在使用v1.2版本时,可以降低一些权重以获得更好的灵活性。
例如:(veryBadImageNegative_v1.2-6400:0.9)
About v1.2:
Enhance image quality and weaken style.
When using v1.2, you can reduce some weights to obtain better flexibility.
For example: (veryBadImageNegative_v1.2-6400:0.9)
关于v1.0与v1.1的差异:
几乎没有差别,仅用于训练的图集在生成参数有一些微妙的差别。
关于1600~6400的差异:
数字代表了训练步数,理论上步数越多效果越好。
About the difference between v1.0 and v1.1:
There is almost no difference. The atlas used for training only has some subtle differences in the generation parameters.
About the difference between 1600 ~ 6400:
The number represents the number of training steps. In theory, the more steps, the better the effect.
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This is a textual inversion embedding for Rukia Kuchiki from Bleach. Use vslinx_rukia to activate.
Recommended is to use Clip Skip 2 since the embedding was trained on it!
Feedback is very welcomed and i'd love to see your creations with it if you'd like to attach them in a review.
The SFW images are produced with Corneo's 7th Heaven Mix.
Example NSFW images are all produced with the BloodNightOrangeMix Model.
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This embedding was trained on 208 Gelbooru vore sex images. Trained primarily for anime generation, but some generalization techniques are utilized so using it along with photorealism models still produces satisfactory images (Have a try).
Please do not confuse with the original text encoding ability of certain hentai models, for example, adding "tentacles", "tentacle swarm" alongside won't utilize the knowledge of the embedding you download here, rather this may further confuse the model and diminish the performance. So if certain elements like tentacles, monster and vore are not enough, increase the weight instead. Example: (zauber_vore_hardcore:1.1). Putting the embedding prompt at the head of line is recommended, see sample images.
The training set heavily features nudity, guro, asphyxiation, cross-species sex, etc. Do not download if such elements cause unwanted shock for you.
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一些衣服样式
更容易使用的衣服召唤方法
这个版本会持续更新
为了不太干扰出图的泛化,向量为1,如果需要增强权重可以这样写 (heibai:1.30), 1girl, lace,
heibai: 黑白搭配
longpao: 刺绣样式
neiyi: 内衣样式
nvdi: 女帝
suijing: 水晶
zhubao: 珠宝
some clothing styles
Easier to use clothing summoning method
This version will continue to be updated
In order not to interfere with the generalization of the graph, the vector is 1. If you need to enhance the weight, you can write it like this (heibai:1.30), 1girl, lace,
heibai: black and white collocation
longpao: embroidery pattern
neiyi: underwear style
nvdi: empress
suijing: crystal
zhubao: jewelry
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Sell images they generate
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