Instructions to use mlworks90/fashion-inpainting-system with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use mlworks90/fashion-inpainting-system with Diffusers:
pip install -U diffusers transformers accelerate
from diffusers import ControlNetModel, StableDiffusionControlNetPipeline controlnet = ControlNetModel.from_pretrained("mlworks90/fashion-inpainting-system") pipe = StableDiffusionControlNetPipeline.from_pretrained( "runwayml/stable-diffusion-v1-5", controlnet=controlnet ) - Notebooks
- Google Colab
- Kaggle
| # Fashion Inpainting System - Core Dependencies | |
| torch>=1.13.0 | |
| torchvision>=0.14.0 | |
| diffusers>=0.21.0 | |
| transformers>=4.21.0 | |
| controlnet_aux>=0.4.0 | |
| opencv-python>=4.6.0 | |
| Pillow>=9.0.0 | |
| numpy>=1.21.0 | |
| accelerate>=0.12.0 | |
| safetensors>=0.3.0 | |
| xformers>=0.0.16 # Optional: for memory efficiency | |
| # Fashion Safety Checker (your custom module) | |
| # This should be installed from your package or included in src/ | |
| # Optional: For demo interface | |
| gradio>=4.0.0 | |
| # Optional: For advanced image processing | |
| scikit-image>=0.19.0 | |
| # Optional: For configuration management | |
| omegaconf>=2.1.0 |