metadata
tags:
- text-to-image
- flux
- lora
- diffusers
- template:sd-lora
- ai-toolkit
widget:
- text: kxsr riding a bike
output:
url: samples/1741662294777__000003000_0.jpg
- text: kxsr running in the forest
output:
url: samples/1741662314402__000003000_1.jpg
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: kxsr
license: other
license_name: flux-1-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.1-dev/blob/main/LICENSE.md
test1
Model trained with AI Toolkit by Ostris
- Prompt
- kxsr riding a bike
- Prompt
- kxsr running in the forest
Trigger words
You should use kxsr to trigger the image generation.
Download model and use it with ComfyUI, AUTOMATIC1111, SD.Next, Invoke AI, etc.
Weights for this model are available in Safetensors format.
Download them in the Files & versions tab.
Use it with the 🧨 diffusers library
from diffusers import AutoPipelineForText2Image
import torch
pipeline = AutoPipelineForText2Image.from_pretrained('black-forest-labs/FLUX.1-dev', torch_dtype=torch.bfloat16).to('cuda')
pipeline.load_lora_weights('lividtm/test1', weight_name='test1.safetensors')
image = pipeline('kxsr riding a bike').images[0]
image.save("my_image.png")
For more details, including weighting, merging and fusing LoRAs, check the documentation on loading LoRAs in diffusers