How Face Refine works
Edit facial features with visual presets or a custom instruction. Choose an attribute reference, refine the prompt, then compare the generated portrait.
Face Refine edits facial appearance using an attribute preset or a written instruction. The illustrated presets communicate a visual direction; they are not identity references or promises of an identical face. Start with a clear portrait, choose one direction, and refine the instruction if needed. Compare face shape, eyes, skin tone and the surrounding scene after generation.
Who this portrait face editor is for
Use it when identity can move but the rest of the photograph must stay canonical. Designers keep a silhouette across a sheet. Social teams test a friendlier or more mature look without a second shoot. If you need the entire person replaced, Character Swap is the better neighbor. If you only want blemish cleanup on the same identity, Photo Retoucher is closer. This URL is for directed facial change with outfit and scene held still.
How to use AI Face Refine
One photo, one face instruction, then a side-by-side check. Keep the first run simple so you can see whether the preset already did the job before you rewrite the prompt.
Upload a reference portrait
Drop a still with one clear, front-facing face, or load the sample. Sharp files hold facial landmarks better than tiny, compressed screenshots.
Pick a face-only preset
Presets fill the instruction; editing it switches to a custom instruction. The model aims to preserve the rest of the portrait, but facial identity, clothing and background can change. Compare the whole original. For identity replacement use Face Swap; for skin cleanup use Skin Enhancer.
Edit the prompt if you need more
Tune age, expression, or bone structure in plain language. Mention hair or wardrobe only if you truly want those areas to move.
Choose model and output size
The default editor is fast at 1K through 4K with auto aspect ratio. The batch editor adds extra variants and acceleration when you want options in one run.
Generate and compare
Run the job, drag the before-and-after slider, and download the still you like. Change one clause and run again if a single feature drifted.
Where face-only edits actually get used
Character sheets and consistent costumes
Keep the same outfit, props, and backdrop while you try a younger face, a sharper jaw, or a softer expression. The silhouette stays a series, not a new photoshoot.
Campaign portraits without a second sitting
A hero still already has the right lighting and wardrobe. Refine only the face for a seasonal look, a different age band, or a calmer expression for a landing page.
Casting tests and look exploration
Directors and indie teams explore facial direction on a locked costume still. You are judging bone structure and mood, not rebuilding the set.
Profile and avatar variants from one photo
Start from a portrait you already like. Produce a doll-like, mature, or elegant face for different channels while the clothing in the crop stays recognizable.
Prompt habits that keep outfit and scene
Write like a shot note. Say what must stay and what may move: “same white shirt and studio wall, more mature facial features.” If a preset already filled the box, those lines pin clothing and background — delete them only when you intend a wider restyle.
Change one variable per run. Age or expression is easier to judge than both at once. When a custom line mentions a jacket and a new alley, the model has permission to leave the original wardrobe.
Front-facing, well-lit faces give cleaner landmarks. Group shots and heavy occlusions make the editor guess. After you download, nearby tools can swap the whole person or retouch skin on the same identity.
Why use AI Face Refine on this page
Face-only presets
Nine one-click looks — from Cute and Doll to Mature and Rough — so you are not rewriting a paragraph for a first draft.
Outfit and scene stay put
Preset instructions tell the model to keep clothing, accessories, body, and background as in the reference still.
Custom prompt control
When a preset is close but not exact, edit the text. You steer bone structure and expression without opening a layered desktop file.
Two edit engines
A fast default path for 1K–4K drafts, plus a batch path when you want several facial variants from the same upload.
Compare before downloading
Use the before-and-after view to inspect edges, texture and small details, then save the version that fits your project.
Built for characters, not random faces
The source photograph remains the layout. You refine a face on a costume you already approved.
Related tools after you download
Face-only refinement is often step one. These links stay on Pixwit when the next job is a full-person swap, a different wardrobe, skin cleanup, or more credits.
- Face Swap
Blend a donor face onto another portrait when you need identity transfer rather than a style preset on the same person.
- Character Swap
Replace the entire subject — face, body, and outfit — while keeping pose and background, if a face-only edit is too narrow.
- Photo Retoucher
Clean blemishes and skin texture on the same identity when you do not want a new facial structure.
- Pricing and credits
See how signup credits and paid packs map to a face refine run and the rest of the image studio.
Background reading: Portrait photography (Wikipedia)
AI Face Refine FAQ
Does AI Face Refine only change the face?
- Presets fill the instruction; editing it switches to a custom instruction. The model aims to preserve the rest of the portrait, but facial identity, clothing and background can change. Compare the whole original. For identity replacement use Face Swap; for skin cleanup use Skin Enhancer.
How is this different from photo retouching?
- Retouching cleans the same identity: blemishes, shine, stray hair. This tool can reshape features, age, or style. Use retouching when the person must stay recognizable as themselves. Use this page when the costume is locked and the face is allowed to change.
How is this different from face swap?
- Face swap copies identity from a second photo onto a base. Here you start from one still and describe or preset a new facial look. There is no donor face unless you describe one. Pick Face Swap when you already have the target identity as an image.
Which model should I choose?
- Start with the default editor for a single still: 16 credits (1K), 24 (2K), or 36 (4K). Switch to the batch editor when you want several outputs or acceleration in one run. Credit cost is shown on the generate button before you confirm.
What photos work best?
- A single, front-facing portrait with a visible face and even light. Heavy crop, groups, and covered eyes reduce accuracy. Files up to 10MB in common web formats are accepted.
Is there a free way to try it?
- Welcome credits depend on eligibility and signup country (0, 20 or 40). Non-subscribers have a combined limit of one video or image generation per UTC day; this does not guarantee enough credits or access to every model. Check the current quote before generating. The selected model, duration, resolution, number of outputs and reference inputs determine the quote. Subscriptions and credit packs are explained on the pricing page.
Start with AI Face Refine
Scroll up, drop in a portrait, pick a preset or write the facial change, and download the still from this page.