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Found 7 Skills
Verify whether an image or video is authentic, original, and correctly described. Use when fact-checking a photo or video, detecting deepfakes or AI-generated media, spotting manipulation, or confirming when and where footage first appeared.
Face swap and deepfake generation using ModelsLab's Deepfake API. Swap faces in images and videos with high-quality AI-powered face replacement technology.
This skill should be used when the user asks for markup detection, detect manipulation, image tampering, deepfake detection, document integrity, hidden markup, metadata forensics, EXIF analysis, content authenticity, synthetic media, altered image, C2PA, or provenance verification across documents, images, and video. Guides workflow-level assessment of visual tampering indicators (splicing, cloning, inconsistent lighting or shadows, compression artifacts), metadata and provenance checks (EXIF, hashes, source chain), document revision and hidden markup (tracked changes, comments, invisible text), synthetic-media and deepfake red flags, watermarking and content-credentials concepts, and structured reporting with confidence levels and explicit limitations—not training detection models (ml-research-engineer-safeguards), cryptographic watermark design (cryptographer-specialist), full digital forensics lab attribution or legal conclusions, or blockchain-only tracing unless the user scopes on-chain context.
Add the official EU AI-content labels (EU icons for labelling AI-generated content, AI Act Art. 50) to images and videos. Use when the user asks to label, watermark, mark, or badge media as AI-generated, AI-modified, or a deepfake, mentions the EU AI icons / AI Act transparency disclosure, or asks to put an "AI" label/badge in a corner of a photo, screenshot, GIF or video.
AI Face Swap - Swap face in video, deepfake face replacement, face swap for portraits. Use from command line. Supports local video files, YouTube, Bilibili URLs, auto-download, real-time progress tracking.
Multimodal media authentication and deepfake forensics. PRNU analysis, IGH classification, DQ detection, semantic forensics, and LLM-augmented sensemaking for the post-empirical era. Use when working with deepfake, media forensics, fake detection, synthetic media, prnu, image authentication, video verification, disinformation.
Swap a face / character into video or images on RunComfy via the `runcomfy` CLI. Routes across community Wan 2-2 Animate (audio-driven character animation + identity swap), GPT Image 2 Edit (single-shot precise face swap on still images via reference composition), Nano Banana Edit (batch identity-preserving swap), Flux Kontext (single-ref high-fidelity local face edit), and Kling 2-6 Motion Control Pro (transfer motion from one performance onto a target character). Picks the right model for the user's actual intent — single still vs video, full character vs face only, dialog scene vs silent motion. Triggers on "face swap", "swap face", "deepfake", "face replacement", "character swap", "head swap", "put X's face on Y", "make this video star X", "replace the actor in this video", "swap the character in the photo", "deepfake video", "ReActor alternative", or any explicit ask to substitute one identity for another.