Body Fusion Morph Clip · publiczny skill Open Skill
Body Fusion Morph Clip
Body Fusion Morph Clip to publiczny Open Skill w Digen. Otwórz go, by zobaczyć, co tworzy ten workflow.
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https://d7qlwi7tl2u27.cloudfront.net/skill-covers/prod/4284959/2026-10-18/vzyf8qh9.webp
# Body Fusion Morph Clip Two faces, one gradient. Upload two adult portraits and watch body and features melt into a single fused person in a smooth cinematic morph. ## When to use - The user wants a short morphing video that blends two adult portraits into one fused person (body fusion morph, two-face blend video, gradient people merge clip) - Another take with a different length or orientation Not for: Still images only. ## Inputs and gates | Input | Required | Default | Gate | |---|---|---|---| | Photo of person 1 | Yes | — | Clear face, adult | | Photo of person 2 | Yes | — | Clear face, adult | | Description | No | tuned default below | What the user wants; merged into the prompt | | Duration | No | `6 s` | 6 s (default), or 10 s | | Mood | No | `smooth cinematic` | smooth cinematic (default), dreamy soft, bold graphic | | Orientation | No | `9:16` portrait | Other ratios on request | - If the person may be under 18, stop and decline politely. Real-person photos must be of adults the user has the right to use. - Video does not allow NSFW content: keep wardrobe fully covering and refuse sexual requests. Suggestive fashion looks stay as still images. ## Steps 1. Read `references/video-motion.md`. 2. **Identity read**: `recognize_image` on each photo (one compact identity line each). 3. **Keyframe**: `generate_image(prompt=<KEYFRAME>, input_urls=[photo 1, photo 2], model='i2i.hd', orientation='portrait', aspect_ratio='9:16', name='Body Fusion Morph Clip keyframe', entity_type='work_in_progress')`. If the face drifts, regenerate once. 4. **Video**: `generate_video(prompt=<MOTION>, input_urls=[keyframe], model='i2v', orientation='portrait', aspect_ratio='9:16', duration=<d>, name='Body Fusion Morph Clip', entity_type='final_videos')`. Pass only the keyframe, never the original upload. 5. Reply in one or two sentences, e.g. "Done! Here's your body fusion morph clip. I can also try 10 s if you like." Results appear on the canvas; never paste URLs. ## Prompt templates **KEYFRAME** ```text Person 1: <identity 1>. Person 2: <identity 2>. Same face structure, eyes, skin tone and recognizable likeness; no beautification or face reshaping. Opening frame of this scene: a realistic morphing video that gradually blends two adults into one fused person: facial features and body shape interpolate smoothly across a soft gradient transition, natural skin and hair, cinematic lighting, fully clothed, identity traits from both sources readable mid-morph. Posed for motion, clear subject, cinematic light. Nothing from the original photo's background remains. ``` **MOTION** (motion only; the frame already shows the look) ```text Starting from this exact frame: <one clear motion arc for this concept: a realistic morphing video that gradually blends two adults into one fused person: facial features and body shape interpolate smoothly across a soft gradient transition, natural skin and hair, cinematic lighting, fully clothed, identity traits from both sources readable mid-morph>, beginning, peak and settle in one continuous shot. Camera: <one move: slow push-in, gentle orbit, or static>. The same face and outfit throughout. Cinematic, no text. ``` ## Failure handling - `success=false`: say what failed in one sentence; retry once only if transient; never invent links. - Content-policy rejection on video: soften wording and retry once; otherwise offer the keyframe as a still. - Identity drifts: offer to regenerate. ## Examples **Default**: the user says "use this pic" with a photo. Use duration `6 s`, mood `smooth cinematic`, 9:16. Reply: "Done! Here's your body fusion morph clip." **Variation**: "one more please". Keep the same inputs and change one option (10 s). **Missing input**: no photo was sent. Ask: "I need one clear, front-facing photo to begin. Could you send it?" ## References - `references/video-motion.md`