Muitto
Voltar ao catálogo
Imagem
Equilibrado

CodeFormer

CodeFormer restores and enhances old or damaged photos.

A tradução deste card ainda não está disponível; parte do conteúdo aparece em inglês.

Sobre este modelo

CodeFormer is a powerful face restoration model that brings old or low-quality photos back to life. It excels at reconstructing damaged or blurry facial details, making it ideal for restoring vintage photos or improving images from low-resolution sources.

Use CodeFormer when you need to fix facial features in old family photos, enhance portraits from security cameras, or restore images with heavy compression artifacts. It works best on faces but can also improve overall image quality.

What makes CodeFormer distinctive is its ability to generate realistic facial details while preserving the original identity. It uses a codebook learning approach that balances restoration quality with natural-looking results.

Melhores casos de uso
  • Restoring old family photos
  • Enhancing blurry portraits
  • Fixing damaged facial images
  • Improving low-resolution faces
  • Removing compression artifacts
Pontos fortes
High-quality face restoration

Produces sharp, realistic facial details even from heavily degraded images.

Identity preservation

Maintains the original person's likeness while enhancing quality.

Versatile input handling

Works with various image qualities from old scans to webcam captures.

Dicas
  • Crop the image to focus on the face for best results.
  • Use high-quality input images when possible for more natural outputs.
  • Adjust the fidelity parameter to balance restoration strength vs. originality.
  • Combine with upscaling models for full image enhancement.
Limitações
  • May struggle with extreme facial angles or occlusions.
  • Can introduce artifacts on non-face areas like hair or clothing.
  • Best results require a clear face region in the input image.
Exemplos de geração
Exemplo em breve
Vintage photo restoration

Restore a sepia-toned 1920s portrait with cracked emulsion and missing details.

Exemplo em breve
Security camera face enhancement

Enhance the face from a grainy security camera still to identify the person.

Exemplo em breve
Old movie still restoration

Restore the lead actor's face from a blurry 1950s film frame.

Prompts de exemplo
Restore a faded 1970s photo
Restore this old family photo from 1972, fix the blurry faces and remove scratches.
Enhance a low-res webcam capture
Enhance this webcam photo to make the face clearer and remove pixelation.
Fix a damaged scanned portrait
Restore this scanned portrait with torn edges and faded facial features.
Parâmetros
fidelity

Controls how closely the output matches the original image. Lower values allow more creative restoration.

face_align

Whether to automatically align the face before processing for better results.

upscale_factor

How much to enlarge the image, e.g., 2x or 4x.

background_enhance

Option to also improve the background, not just the face.

Preços
$0.0084 por imagem

Os preços exibidos são o que você paga na Muitto. Sem surpresas.

Perguntas frequentes

Can CodeFormer restore images of non-human faces?

It is optimized for human faces and may not work well on animals or objects.

Does CodeFormer change the identity of the person?

It aims to preserve identity but may alter minor details like skin texture.

What image formats does CodeFormer support?

It supports common formats like JPEG, PNG, and BMP.