Update Wan Trained Loras README with file details
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Loras/Wan Trained Loras/README.md
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@@ -4,4 +4,33 @@ This folder contains LoRA models trained with WAN (Weighted Attention Network).
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## Files
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## Files
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- **Bia_training_high_noise.safetensors** - WAN trained LoRA with high noise (293 MB)
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- **Bia_training_low_noise.safetensors** - WAN trained LoRA with low noise (293 MB)
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## Usage
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### High Noise vs Low Noise
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- **High Noise**: Better for more creative/varied outputs with higher guidance
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- **Low Noise**: Better for more controlled/precise outputs with lower guidance
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### ComfyUI
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1. Download the desired LoRA file (high or low noise)
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2. Place it in your ComfyUI `models/loras/` folder
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3. Use the "Load LoRA" node in your workflow
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4. Recommended strength: 0.8-1.0
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### Automatic1111/Forge
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1. Download the desired LoRA file
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2. Place it in your `models/Lora/` folder
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3. Use in prompt: `<lora:Bia_training_high_noise:1.0>` or `<lora:Bia_training_low_noise:1.0>`
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4. Adjust weight as needed (0.6-1.2 range)
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## Training Info
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- **Training Date**: October 4, 2025
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- **Model Type**: WAN (Weighted Attention Network)
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- **Base Model**: Stable Diffusion
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- **File Format**: SafeTensors
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