PixelOkay
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IMAGE STUDIO / STANDARD · NO AI

AI Face Enhancer

Bring softer portraits back into focus with local, adjustable image restoration. No account. No photo upload.

Private by designPhotos stay in this browser
Photo workspaceNo photo selected

Your portrait goes here

Drop an image here or browse your device. You can also paste an image.

JPG, PNG, WebP, AVIF · Up to 30 MB
Original photoEnhanced photo

Standard face enhancement, with optional local AI

01

Choose a portrait

Import a JPG, PNG, WebP or supported AVIF photo. Draw the face frame around one person.

02

Enhance locally

Press Enhance face in Standard mode to apply local tone, denoise and detail filters without downloading a model.

03

Compare and export

Adjust the restoration blend, inspect the before/after comparison and save the completed image.

This tool is intended for front-facing portraits. It cannot guarantee accurate reconstruction of eyes, identity or features that were not present in the original image. Low-memory devices may be unable to run the large AI model.

How to enhance a face

Choose an image, position the blue square, select Standard / No AI and press Enhance face. Standard tone, denoise and detail processing needs no model or network. Optional GFPGAN requires explicit setup and download consent.

Optional GFPGAN uses a 512 × 512 face crop and blends its restoration into the original. For the best results, keep the eyes and mouth within the crop. You can drag the frame or use arrow keys; drag the lower-right handle to resize it.

Use the comparison slider, blend and clarity controls to avoid an overprocessed look. Standard filtering improves existing detail; optional AI is a reconstruction that can change facial identity.

Using AI Face Enhancer

Choose a supported portrait and position the source-square frame around one face. Adjust the eye-line rotation manually if needed, apply enhancement, then review the face and blending carefully before export. Model licensing information is available in the linked provenance sources.

The large GFPGAN model and ONNX Runtime are downloaded on demand; choosing a local model does not supply the runtime. Manual rotation is not five-landmark alignment. AI can alter identity or invent features, especially for off-angle faces or missing detail. Native face detection is browser-dependent, and no batch mode or quality guarantee is supplied. Model licensing and component restrictions require release review.

References: GFPGAN model provenance and component notes · GFPGAN project · ONNX Runtime

Workflow and output choices for AI Face Enhancer

Position a square crop around one supported face, adjust its rotation manually if needed, then request enhancement and carefully review the result and blending.

The selected crop is processed and exported as an image. A local model option does not include the ONNX runtime; model licensing and component restrictions require review before release.

Example workflow

  1. Open a supported portrait and position the source-square frame around one face.
  2. Adjust the eye line rotation manually and apply enhancement after any required model setup.
  3. Compare the result with the source, especially facial identity and blending, before exporting.

Authored example: Use an authored close-up portrait scenario with the face slightly off-angle. Practice positioning the square crop and adjusting rotation; this does not demonstrate model quality or identity preservation.

Limits and model handling: GFPGAN and ONNX Runtime are downloaded on demand; model size is large. Manual rotation is not five-landmark alignment. AI may alter identity or invent features, particularly for off-angle faces or missing detail. There is no batch mode or quality guarantee, and licensing review remains a release gate.

AI Face Enhancer questions

Does enhancement preserve a person’s identity exactly?

No. The model may alter identity or invent facial features, particularly when the face is off-angle or detail is missing. Review the output against the original.

Does choosing a local model avoid downloading the runtime?

No. A local model file does not supply the ONNX Runtime. Model and runtime setup remain separate.

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