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Running
| title: Tcdl | |
| emoji: 📚 | |
| colorFrom: pink | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 4.0.0 | |
| app_file: app.py | |
| pinned: false | |
| # TCD LoRA Demo | |
| This is a Gradio demo for the TCD LoRA model, deployed on Hugging Face Spaces. | |
| ## Configuration | |
| This Space is configured with: | |
| - Python 3.10 | |
| - Gradio 4.0.0 | |
| - PyTorch 2.0.0 | |
| - Diffusers 0.24.0 | |
| ## Dependencies | |
| The following dependencies are required: | |
| ```bash | |
| torch>=2.0.0 | |
| diffusers>=0.24.0 | |
| transformers>=4.36.0 | |
| accelerate>=0.25.0 | |
| gradio>=4.0.0 | |
| safetensors>=0.4.0 | |
| peft>=0.7.0 | |
| requests>=2.31.0 | |
| numpy>=1.24.0 | |
| Pillow>=10.0.0 | |
| ``` | |
| ## Usage | |
| 1. Enter your prompt in the text box | |
| 2. Adjust the generation parameters: | |
| - Seed: Controls the randomness of the generation | |
| - Number of Steps: More steps = better quality but slower | |
| - Guidance Scale: Higher values = more prompt adherence | |
| - Eta: Controls the noise level | |
| 3. Click "Generate Image" to create your image | |
| ## Model Information | |
| This demo uses: | |
| - Base model: Stable Diffusion XL | |
| - LoRA: TCD-SDXL-LoRA | |