FLUX.1-dev-Controlnet-Inpainting-Alpha

An AI image restoration model designed to fill in missing parts of images.

CommonProductImageImage RestorationAI Model

FLUX.1-dev-Controlnet-Inpainting-Alpha is an AI image restoration model released by the AlimamaCreative Team, specifically developed to repair and fill in missing or damaged areas of images. This model performs optimally at a resolution of 768x768, delivering high-quality image restoration. As an alpha version, it showcases advanced technology in the field of image restoration and is expected to provide even better performance with further training and optimization.

Trained on 12M laion2B and internal source images
providing high-resolution image restoration.
Recommended control network scaling between 0.9-0.95 for optimal restoration results.
Compatible with the Diffusers library for easy image restoration operations.
Offers a comparison with SDXL-Inpainting
highlighting its advantages in restoration effects.
The model is still in training
with updates planned for future versions.
Applicable in various scenarios requiring image restoration and content filling.

\This product is suitable for image editors
designers
photographers
and anyone who needs to repair or enhance images. It helps users quickly and effectively fix defects in images
improve image quality

Restore damaged sections of old photographs
reviving historical images.
Fill in blank areas on a canvas in digital art creation.
Remove unwanted objects or blemishes from backgrounds in product photography.

1. Install the Diffusers library.
2. Clone the model repository from GitHub.
3. Modify the image path
mask path
and prompt and run the program.

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