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101 lines
4.9 KiB
Markdown
101 lines
4.9 KiB
Markdown
---
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slug: muapi-freeze-effect-video
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name: muapi-freeze-effect-video
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version: "1.0.0"
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description: Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.
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acceptLicenseTerms: true
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---
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# Freeze Effect Video
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**Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.**
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## Inputs
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| Name | Type | Required | Default | Description |
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|:---|:---|:---|:---|:---|
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| `photo` | image_url | yes | — | Reference photo of the main character (face/body) whose appearance must remain consistent across all shots. |
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| `scene` | text | no | a packed, dimly lit sports bar with neon accents, blurred TVs showing a championship celebration | The setting where time will freeze (e.g. "a busy nightclub", "a wedding reception", "a stadium crowd"). |
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| `freeze_moment` | text | no | golden arcs of beer suspended midair, popcorn floating motionless, people frozen mid-cheer | The signature frozen visual — what hangs in the air when time stops. |
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| `closing_line` | text | no | perfect | A short word/phrase the character whispers before resuming time. |
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| `aspect_ratio` | text | no | 16:9 | Output aspect ratio — "16:9" for cinematic, "9:16" for vertical/social. |
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| `duration` | text | no | 15 | Target duration in seconds (10 or 15 recommended). |
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## Steps
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### Phase A — Generate the Freeze Effect Video
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Submit the plan with ONE step:
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1. **Freeze effect video** — `muapi video from-image` (model=`seedance-v2.0-i2v`, quality=`high`, generate_audio=`true`):
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- Reference image: `{{photo}}`
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- Aspect ratio: `{{aspect_ratio}}`
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- Duration: `{{duration}}`
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- Resolution: `720p`
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- Prompt:
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```
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Ultra-realistic, shot on Arri Alexa Mini, 35mm lens, {{scene}}, volumetric haze, dynamic hard shadows, shallow depth of field.
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Main Character:
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The person from @image1. Facial features and body proportions remain consistent across all shots.
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[0:00–0:03]
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{{scene}}. Time flows normally.
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Steadicam frontal medium shot tracking the person walking confidently through the crowd.
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The crowd erupts in euphoria around them.
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As the person walks, they raise their right hand and snap.
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[0:03–0:06]
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At the snap, a subtle spherical shockwave bursts from their fingertips — air distortion and light refraction ripple outward.
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Everything freezes mid-motion.
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{{freeze_moment}}.
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Neon light catches dust and liquid in the air.
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Absolute silence.
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[0:06–0:09]
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Only the person moves.
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Soft, echoing footsteps.
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Camera tracks backward as they walk through the frozen scene, observing calmly.
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They reach out and pluck a single suspended detail from the air.
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[0:09–0:11]
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They stop in front of a frozen onlooker, face locked in an ecstatic expression.
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The person tilts their head, gently observes.
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Softly: "{{closing_line}}".
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[0:11–0:15]
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They turn, face the camera, smirk, and snap again.
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A stronger reverse shockwave ripples outward.
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Motion instantly resumes — sounds explode back, people land mid-jump.
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The person walks away as the camera pushes through the celebrating crowd.
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Fade to black.
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Sound Design:
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Deafening ambient celebration → snap → deep shockwave/bass drop → absolute silence → footsteps → soft whisper → snap → reverse shockwave → deafening celebration returns.
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```
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After generation, present the video to the user.
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## Notes
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- The character's identity is anchored by `@image1` — the reference photo must clearly show the main subject's face.
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- For best results, choose a `scene` with crowd energy and lots of small objects (liquid, confetti, sparks) that can plausibly "freeze" in midair.
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- If the model rejects realistic human likeness, switch to the Global tier model (`seedance-2-image-to-video-fast`) which allows looser identity matching.
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- For vertical/social delivery, set `aspect_ratio=9:16` and keep `duration=10` for tighter pacing.
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- Always keep `generate_audio=true` — the snap → silence → snap audio arc is the signature of this effect and should not be muted.
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## Trigger Keywords
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`freeze effect`, `time freeze video`, `time stop video`, `snap freeze`, `frozen world`, `bullet time crowd`, `time stand still`, `pause time effect`
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---
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## Notes for the Executing Agent
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- This recipe is LLM-orchestrated: read each phase, gather any missing inputs from the user, then call `muapi` CLI commands. Use `muapi auth configure` first if `MUAPI_API_KEY` is unset.
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- For model IDs without a CLI alias yet, fall back to the raw endpoint via `curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'` and poll with `muapi predict wait <request_id>`.
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- Substitute `{{input_name}}` placeholders with the user's actual inputs before issuing each call.
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