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Enhance and restore images using SwinIR
FitDiT is a high-fidelity virtual try-on 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.