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README.md

@@ -1,6 +1,5 @@
 ---
-library_name: diffusers
-license: other
+license: mit
 base_model: OnomaAIResearch/Illustrious-xl-early-release-v0
 tags:
 - stable-diffusion-xl
@@ -8,25 +7,78 @@ tags:
 - text-to-image
 - diffusers
 - lora
+- gradients-on-demand
+inference: true
 ---
 
-# SDXL LoRA Model
+# 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
 
-    from diffusers import DiffusionPipeline
-    import torch
+You can use this LoRA with any SDXL-compatible interface:
+
+### With Diffusers
+
+```python
+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
 
-    pipe = DiffusionPipeline.from_pretrained(
-        "OnomaAIResearch/Illustrious-xl-early-release-v0",
-        torch_dtype=torch.float16
-    ).to("cuda")
+## Training Data
 
-    pipe.load_lora_weights("dada22231/ba2b5d89-3688-448e-9197-d9fd377c4f5a")
+This model was trained on a custom dataset as part of the Gradients on Demand subnet.
 
-    image = pipe(
-        "masterpiece, best quality, 1girl",
-        num_inference_steps=30,
-        guidance_scale=7.5
-    ).images[0]
+## License
 
+This model is licensed under the MIT License.