Enhance facial details in images
Generate detailed images from a prompt and an image
Generate Ghibli-style images from a text prompt
Flux is the HF way 2
Generate Korea Palace images with custom prompts
FLUX.1 ANDROFLUX
Create customized face portraits using images and prompts
Create detailed images from sketches and other inputs
FLUXllama Multilingual(to be add more languages)
Generate logos from text prompts, supporting Korean
Generate depth maps from images
Nvidia Sana
Generate intrinsic images (Albedo, Specular Shading) from a single image
GFPGAN (General Face Photo-GAN) is an advanced AI-powered tool designed to enhance facial details in images. It leverages sophisticated GAN (Generative Adversarial Network) technology to improve the quality and realism of facial features in photos. Whether it's sharpening blurry faces or refining image details, GFPGAN is a powerful solution for achieving high-quality results.
• Advanced Facial Detail Enhancement: Focuses specifically on improving facial features for more realistic and detailed output.
• High-Quality Image Processing: Produces sharp, clean, and visually appealing images with minimal artifacts.
• Versatile Application: Works effectively on both full-face and portrait-style images, ensuring optimal results in various scenarios.
• AI-Driven Precision: Utilizes cutting-edge AI algorithms to maintain natural texture and context while enhancing images.
pip install gfp-gan
python inference_gfp.py
What is GFPGAN primarily used for?
GFPGAN is primarily used to enhance facial details in images, making them sharper and more realistic.
Can GFPGAN work on images without faces?
No, GFPGAN is specifically designed for facial enhancement. It may not perform well on images without faces or where faces are not the focus.
How does GFPGAN handle low-quality input images?
GFPGAN can improve low-quality images by sharpening and enhancing facial details, but results may vary depending on the input quality.