inference · 467.0s

Genjutsu Motion Transfer

Image Gen·higgsfield·by Higgsfield

Genjutsu Motion Transfer creates videos from source motion and reference images. Guide short-form video edits with optional prompts and 480p or 720p output.

Runtime (p50)
-
Estimated price
$0.159–$0.3405 per second, depending on resolution
Call the API
prediction.sh
sh
curl -X POST \
  -H "Authorization: Bearer $EACHLABS_API_KEY" \
  -H "Content-Type: application/json" \
  --data '{
    "model": "genjutsu-motion-transfer",
    "input": {
        "prompt": "Replace the two dancers in the source video with the people from the reference images.\n\n@Image 1 replaces the woman on frame right.\n@Image 2\n  replaces the man on frame left.\n\nKeep each person's face, hair, skin tone, body and clothing exactly as in their reference image. Both faces must stay clearly\n  visible and recognizable in every frame, including during fast moves and the half-turn around 6 seconds.\n\nKeep everything else from the source video\n  unchanged: the static camera, single shot, framing, graffiti wall, golden-hour light, boombox, the full 10-second duration, and the original audio. Transfer the\n  choreography exactly: every step, bounce, arm move, turn and the final pose, with the same timing and perfect sync between the two dancers.\n\nThe original\n  dancers must not remain visible in any frame.\n\nNo identity drift, no blended faces, no swapped positions, no camera movement, no added text, logos or\n  watermarks.",
        "video_url": "https://cdn-us.eachlabs.ai/defaults/27d176a28e944232a2f6f6406d795b76.mp4",
        "image_urls": [
            "https://cdn-us.eachlabs.ai/defaults/507b1b74be064da3a51f0cc9d9134f8e.png",
            "https://cdn-us.eachlabs.ai/defaults/77a8e0ba7bec4785b386e729bcdb3a64.png"
        ],
        "resolution": "720p"
    },
    "webhook_url": ""
}' \
  https://api.eachlabs.ai/v1/prediction/

Related models

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* FAQ

About Genjutsu Motion Transfer

01 / 03

What is Genjutsu Motion Transfer?

Genjutsu Motion Transfer is a Higgsfield video model that combines motion from a source clip with one to eight reference images. An optional text prompt guides the generation. It supports reference-driven video editing on each::labs, with a video file as the final output.