Enhance faces in images
Enhance faces in old or AI-generated photos
Detect and match lines between two images
Generate mask from image
Swap Single Face
Segment objects in images and videos using text prompts
Extract image sections by description
Swap faces in images
Generate saliency maps from RGB and depth images
ACG Album
https://huggingface.co/spaces/VIDraft/mouse-webgen
Find similar images from a collection
Generate 3D depth maps from images and videos
GFPGAN is an advanced AI tool designed to enhance and restore faces in images. It leverages cutting-edge technology to improve the quality and clarity of facial features, making it particularly useful for correcting blurred, distorted, or low-quality portraits. GFPGAN is built to work seamlessly with various models and frameworks, ensuring high-quality output for both professional and casual users.
What models does GFPGAN support?
GFPGAN supports a variety of face restoration models, including LoRA-based models, ensuring flexibility and compatibility for different enhancement tasks.
How do I achieve the best results with GFPGAN?
For the best results, use high-quality input images and adjust settings like resolution and sharpness based on the specific needs of your image.
Can GFPGAN handle non-face enhancements?
GFPGAN is primarily designed for face enhancement and restoration. For non-face image processing, you may need to use additional tools or software.