The same source image before and after applying Soft Glam.
Soft Glam applied to the same source image
Original source image before Soft Glam

Soft Glam — Eight Face-Mesh Zones, No Face Regeneration

Combine texture-preserving skin polish with subtle eyeshadow, blush, and lip tint inside eight verified zones—without regenerating or reshaping the face.

Upload a photo for the Soft Glam effect

What you can do with the Soft Glam effect

Review the available effect capabilities before you begin.

  • Apply the Soft Glam effect to any photo
  • Fine-tune the effect strength to taste
  • Preview your photo live as you edit
  • Download your edited photo in high quality
  • Apply Soft Glam to many photos at once

How it works

Soft Glam does not regenerate, reshape, inpaint, relight, or generally blur the portrait. It requires one complete near-front face, cross-checks dedicated face detection with MediaPipe Face Mesh V2, and uses MediaPipe six-class portrait segmentation to distinguish face skin from hair, beard, body, clothing, accessories, and background. The renderer combines exactly three broad skin-polish zones across the forehead and both cheeks with exactly five compact makeup zones above both upper eyelids, over both upper cheeks, and inside the outer lip contour. The skin polish uses a skin-mask-normalized local baseline so nearby background, hair, or beard color cannot bleed into the correction; it reduces only measured mid-scale luminance and chroma variation while retaining fine luminance detail and pores. At full intensity, skin luminance correction is capped at two LAB levels and each skin chroma correction at three LAB levels. Blush and lip tint change LAB chroma while retaining source luminance, and eyeshadow darkening is capped at four LAB levels. Face-mesh masks protect the eyes, irises, eyebrows, nose, and inner mouth. Facial geometry, expression, protected features, hair, beard, clothing, scene lighting, background, framing, uploaded alpha, and every pixel outside the eight reported zones are copied unchanged into a lossless PNG. Profiles, incomplete or tiny faces, uncertain or incomplete face-skin evidence, and glasses or other obstructions that leave any required zone without enough safe support are refused instead of redrawn. Already-even skin may receive only the verified makeup preset; a portrait with no safe visible correction is left unchanged and refused.

Processing

Soft Glam uses an AI action. Any separate allowance is shown before this effect starts processing.

Best for

sharp, evenly lit, near-front portraits with one complete face and an uncovered forehead, eyebrows, eyelids, eyes, cheeks, nose, lips, jaw, and chin.

Less suited to: side profiles, tilted or cropped faces, glasses, hair or hands covering facial features, theatrical existing makeup, strong cast shadows, tiny faces, motion blur, and group photos.

Ways to use Soft Glam

  • Preview a coordinated soft-glam look with restrained skin polish, eyeshadow, blush, and lip tint without changing facial identity or geometry.
  • Retain pores, fine skin detail, eyes, eyebrows, nose, inner mouth, hair, beard, clothing, lighting, and background while adding a bounded cosmetic finish.
  • Use intensity to control one safety-bounded preset while all pixels outside the eight verified zones stay source-exact.

Soft Glam questions

Will Soft Glam smooth or reshape my whole face?
No. It performs no face generation, geometric warp, inpainting, full-frame relighting, or general blur. It combines a small texture-preserving correction in three verified skin zones with color inside five verified makeup zones and copies the rest of the image from the source.
Why not apply Soft Glam the same way virtual staging edits a room?
Virtual staging is expected to synthesize furniture across large replaceable room regions. Makeup and skin polish sit beside identity-critical eyes, brows, nose, lips, hair, texture, and facial contours. Soft Glam therefore uses face landmarks and semantic skin evidence, protects individual features, caps every correction, and refuses uncertain photos rather than asking a generator to redraw the person.

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