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
| python | |
| """ | |
| Fashion Inpainting System | |
| AI-powered fashion transformation with safety-first design. | |
| """ | |
| from .fashion_safety_checker import create_fashion_safety_pipeline | |
| __version__ = "1.0.0" | |
| __author__ = "Your Name" | |
| __license__ = "Apache-2.0" | |
| # Main API exports | |
| __all__ = [ | |
| 'create_fashion_safety_pipeline' | |
| ] | |
| # For backward compatibility and convenience | |
| def create_pipeline(): | |
| """Convenience function to create fashion safety pipeline""" | |
| return create_fashion_safety_pipeline() |