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face-transform

Analyze and transform faces via AceDataCloud API. Use when detecting face keypoints, beautifying portraits, aging/de-aging faces, swapping genders, replacing faces between photos, creating cartoon avatars, or detecting liveness. Provides 7 specialized face APIs.

Quellinformationen

Repository
AceDataCloud/Skills
Letzte Quellaktivität
27. Juli 2026 um 09:51
Erkannte Sprache von SKILL.md
Englisch
Sterne
17
Forks
1

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Lesen Sie SKILL.md und alle von SkillsMP angezeigten Begleitdateien, bevor Sie sich für eine Installation entscheiden.

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
face-transform
description
Analyze and transform faces via AceDataCloud API. Use when detecting face keypoints, beautifying portraits, aging/de-aging faces, swapping genders, replacing faces between photos, creating cartoon avatars, or detecting liveness. Provides 7 specialized face APIs.
license
Apache-2.0
metadata
{"author":"acedatacloud","version":"1.0"}
compatibility
Requires ACEDATACLOUD_API_TOKEN in .env file (see _shared/authentication.md).
# Face Transform Analyze and transform faces through AceDataCloud's Face API suite. > **Setup:** See [authentication](../_shared/authentication.md) for token setup. ## Quick Start ```bash curl -X POST https://api.acedata.cloud/face/analyze \ -H "Authorization: Bearer $ACEDATACLOUD_API_TOKEN" \ -H "Content-Type: application/json" \ -d '{"image_url": "https://example.com/portrait.jpg"}' ``` ## Available APIs | Endpoint | Purpose | Description | |----------|---------|-------------| | `POST /face/analyze` | Face Detection | Detect face keypoints (90+ points per face) | | `POST /face/beautify` | Beautification | Apply beauty/decoration effects | | `POST /face/change-age` | Age Transform | Make a face look older or younger | | `POST /face/change-gender` | Gender Swap | Transform facial gender characteristics | | `POST /face/swap` | Face Swap | Replace one person's face with another | | `POST /face/cartoon` | Cartoon Style | Convert portrait to animated/cartoon style | | `POST /face/detect-live` | Liveness Check | Detect if a face image is from a live person | ## Workflows ### 1. Face Analysis Detect faces and extract 90+ keypoints per face. ```json POST /face/analyze { "image_url": "https://example.com/photo.jpg" } ``` Response includes detailed keypoints: `nose`, `mouth`, `left_eye`, `right_eye`, `left_eyebrow`, `right_eyebrow`, `contour` — each as arrays of `{x, y}` coordinates. ### 2. Face Beautification ```json POST /face/beautify { "image_url": "https://example.com/portrait.jpg" } ``` ### 3. Age Transformation `age_infos` is required — one entry per face, each carrying the target `age`. ```json POST /face/change-age { "image_url": "https://example.com/portrait.jpg", "age_infos": [{ "age": 60 }] } ``` ### 4. Gender Swap `gender_infos` is required. `gender` is `0` to turn a male face female, `1` for the reverse. ```json POST /face/change-gender { "image_url": "https://example.com/portrait.jpg", "gender_infos": [{ "gender": 1 }] } ``` ### 5. Face Swap Replace the face in the target image with the face from the source. ```json POST /face/swap { "source_image_url": "https://example.com/source-face.jpg", "target_image_url": "https://example.com/target-person.jpg" } ``` ### 6. Cartoon Style ```json POST /face/cartoon { "image_url": "https://example.com/portrait.jpg" } ``` ### 7. Liveness Detection ```json POST /face/detect-live { "image_url": "https://example.com/face-photo.jpg" } ``` ## Parameters ### Common | Parameter | Required | Description | |-----------|----------|-------------| | `image_url` | Yes (all except `/face/swap`) | Source face image URL | ### `/face/change-age` | Parameter | Required | Description | |-----------|----------|-------------| | `age_infos` | Yes | Array of `{ "age": <number> }`, one per face. Omitting it returns `400 age_infos is required` | ### `/face/change-gender` | Parameter | Required | Description | |-----------|----------|-------------| | `gender_infos` | Yes | Array of `{ "gender": 0\|1 }` — `0` male→female, `1` female→male. Each entry also accepts an optional `face_rect` | ### `/face/swap` | Parameter | Required | Description | |-----------|----------|-------------| | `source_image_url` | Yes | URL of the face to use (replaces the face) | | `target_image_url` | Yes | URL of the image to put the face onto | | `callback_url` | No | Webhook URL for async delivery | | `timeout` | No | Max wait time in seconds (default: 120) | ### `/face/beautify` | Parameter | Required | Description | |-----------|----------|-------------| | `image_url` | Yes | Image URL | | `smoothing` | No | Skin smoothing 0–100 (default: 10) | | `whitening` | No | Whitening 0–100 (default: 30) | | `face_lifting` | No | Face slimming 0–100 (default: 70) | | `eye_enlarging` | No | Eye enlarging 0–100 (default: 70) | ### `/face/analyze` | Parameter | Required | Description | |-----------|----------|-------------| | `image_url` | Yes | Image URL | | `mode` | No | `0` = all faces (default), `1` = largest face only | | `face_model_version` | No | Algorithm version (recommended: `3.0`) | | `need_rotate_detection` | No | `0` = disabled (default), `1` = enabled | ## Gotchas - All face APIs return results synchronously. `/face/swap` additionally supports an optional `callback_url` parameter for async delivery (pass it to receive the result via webhook instead of waiting inline) - Face analyze returns 90+ keypoints per detected face, supporting multiple faces in one image - Face swap uses `source_image_url` (the face to apply) and `target_image_url` (the body to apply it to) - All APIs are currently in **Alpha** stage — interfaces may evolve - Images should contain clearly visible, front-facing faces for best results - Liveness detection helps distinguish live photos from printed/screen photos
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