Enhance faces in images
Visualize attention maps for images using selected models
Generate clickable coordinates on a screenshot
Recognize micro-expressions in images
Multimodal Language Model
Facial expressions, 3D landmarks, embeddings, recognition.
Visual Retrieval with ColPali and Vespa
Search for illustrations using descriptions or images
Extract text from images using OCR
Gaze Target Estimation
Identify shrimp species from images
Flux.1 Fill
Detect lines in images using a transformer-based model
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.