metadata
tags:
- autotrain
- stable-diffusion-xl
- stable-diffusion-xl-diffusers
- text-to-image
- diffusers
- lora
- template:sd-lora
base_model: stabilityai/stable-diffusion-xl-base-1.0
instance_prompt: system kitchen, cleanup, kitchen, interior,
license: openrail++
ModelsLab LoRA DreamBooth Training - stablediffusionapi/my-stablediffusion-lora-8976
Model description
These are stablediffusionapi/my-stablediffusion-lora-8976 LoRA adaption weights for stabilityai/stable-diffusion-xl-base-1.0. The weights were trained using Modelslab. LoRA for the text encoder was enabled: False. Special VAE used for training: None.
Use it with the 🧨 diffusers library
!pip install -q transformers accelerate peft diffusers
from diffusers import DiffusionPipeline
import torch
pipe_id = "stabilityai/stable-diffusion-xl-base-1.0"
pipe = DiffusionPipeline.from_pretrained(pipe_id, torch_dtype=torch.float16).to("cuda")
pipe.load_lora_weights("stablediffusionapi/my-stablediffusion-lora-8976", weight_name="pytorch_lora_weights.safetensors", adapter_name="abc")
prompt = "abc of a hacker with a hoodie"
lora_scale = 0.9
image = pipe(
prompt,
num_inference_steps=30,
cross_attention_kwargs={"scale": lora_scale},
generator=torch.manual_seed(0)
).images[0]
image
Trigger words
You should use system kitchen, cleanup, kitchen, interior, to trigger the image generation.
Download model
Weights for this model are available in Safetensors format. Download them in the Files & versions tab.