README.md

metadata

license: mit
base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
tags:
  - stable-diffusion-xl
  - stable-diffusion-xl-diffusers
  - text-to-image
  - diffusers
  - lora
  - gradients-on-demand
inference: true

LoRA Model for Illustrious-xl-early-release-v0

This is a LoRA (Low-Rank Adaptation) model trained on custom dataset.

Model Details

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

Training Configuration

• Learning Rate: 2e-5
• Batch Size: 8
• Epochs: 50
• Optimizer: AdamW8Bit
• LR Scheduler: Cosine with Restarts
• Resolution: 1024x1024

Usage

You can use this LoRA with any SDXL-compatible interface:

With Diffusers

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

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

With Automatic1111

1. Download the .safetensors file
2. Place it in stable-diffusion-webui/models/Lora/
3. 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.