Analyze face keypoints and apply transformations via ACEDATACLOUD endpoints.
npx skills add https://github.com/AceDataCloud/Skills --skill face-transform
Please help me install this Agent Skill. Skill: face-transform Source: https://github.com/AceDataCloud/Skills/tree/main/skills/face-transform Command: npx skills add https://github.com/AceDataCloud/Skills --skill face-transform
Face-transforming tasks like detecting key facial landmarks, beautifying portraits, aging/de-aging, swapping genders, swapping faces, creating cartoon avatars, and running liveness checks are time-consuming and require specialized pipelines.
Use face-transform to analyze a portrait by sending its image URL to the face/analyze endpoint with your ACEDATACLOUD_API_TOKEN.
High-intent search queries and answers about installing and using this skill.
You extract facial keypoints by performing face analysis to detect faces and extract 90+ keypoints per face. This supports downstream editing and measurement workflows for single or multiple faces per image.
The best way to apply beautification and age change is through AI image-based face transformations. These dedicated endpoints adjust apparent age and apply beauty effects directly to portrait images for personalization use cases.
Yes, you can perform a face swap asynchronously by utilizing a callback_url for delivery. While most endpoints provide synchronous results, the face swap feature optionally supports async delivery through this callback method.
Yes, liveness detection works specifically to distinguish live faces from printed or screen photos. It serves as a safety verification mechanism within portrait processing workflows to prevent spoofing attempts.
Yes, you need the ACEDATACLOUD_API_TOKEN to authorize any face transformation or cartoon styling request. This token is required to access the dedicated endpoints for detection, editing, and verification scenarios.
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