from diffusers import DiffusionPipeline
import torch

# Load base model
pipe = DiffusionPipeline.from_pretrained(
    "OnomaAIResearch/Illustrious-xl-early-release-v0",
    torch_dtype=torch.float16,
    variant="fp16",
    use_safetensors=True
)
pipe.to("cuda")

# Load LoRA weights
pipe.load_lora_weights("dada22231/ba2b5d89-3688-448e-9197-d9fd377c4f5a")

# Generate image
prompt = "your prompt here, lora style"
image = pipe(
    prompt,
    num_inference_steps=20,
    guidance_scale=7.5,
).images[0]

With ComfyUI

Base Model: OnomaAIResearch/Illustrious-xl-early-release-v0
LoRA Rank: 128
LoRA Alpha: 128
Training Framework: Kohya SS
Precision: bfloat16

Download the .safetensors file
Place it in ComfyUI/models/loras/
Use the "Load LoRA" node in your workflow

With Automatic1111

Download the .safetensors file
Place it in stable-diffusion-webui/models/Lora/
Use <lora:ba2b5d89-3688-448e-9197-d9fd377c4f5a:1> in your prompt

Training Data

This model was trained on a custom dataset as part of the Gradients on Demand subnet.

License

This model is licensed under the MIT License.