Freeze Effect Video

Estimated credits: ~150 per run.

Inputs

photo

scene

freeze_moment

closing_line

aspect_ratio

duration

Steps

Phase A — Generate the Freeze Effect Video

1. Freeze effect video —

   muapi video from-image

   (model=

   seedance-v2.0-i2v

   , quality=

   high

   , generate_audio=

   true

   ):
   • Reference image:

     {{photo}}

   • Aspect ratio:

     {{aspect_ratio}}

   • Duration:

     {{duration}}

   • Resolution:

     720p

   • Prompt:

     Ultra-realistic, shot on Arri Alexa Mini, 35mm lens, {{scene}}, volumetric haze, dynamic hard shadows, shallow depth of field.
     
     Main Character:
     The person from @image1. Facial features and body proportions remain consistent across all shots.
     
     [0:00–0:03]
     {{scene}}. Time flows normally.
     Steadicam frontal medium shot tracking the person walking confidently through the crowd.
     The crowd erupts in euphoria around them.
     As the person walks, they raise their right hand and snap.
     
     [0:03–0:06]
     At the snap, a subtle spherical shockwave bursts from their fingertips — air distortion and light refraction ripple outward.
     Everything freezes mid-motion.
     {{freeze_moment}}.
     Neon light catches dust and liquid in the air.
     Absolute silence.
     
     [0:06–0:09]
     Only the person moves.
     Soft, echoing footsteps.
     Camera tracks backward as they walk through the frozen scene, observing calmly.
     They reach out and pluck a single suspended detail from the air.
     
     [0:09–0:11]
     They stop in front of a frozen onlooker, face locked in an ecstatic expression.
     The person tilts their head, gently observes.
     Softly: "{{closing_line}}".
     
     [0:11–0:15]
     They turn, face the camera, smirk, and snap again.
     A stronger reverse shockwave ripples outward.
     Motion instantly resumes — sounds explode back, people land mid-jump.
     The person walks away as the camera pushes through the celebrating crowd.
     
     Fade to black.
     
     Sound Design:
     Deafening ambient celebration → snap → deep shockwave/bass drop → absolute silence → footsteps → soft whisper → snap → reverse shockwave → deafening celebration returns.

Notes

• The character's identity is anchored by

  @image1

  — the reference photo must clearly show the main subject's face.
• For best results, choose a

  scene

  with crowd energy and lots of small objects (liquid, confetti, sparks) that can plausibly "freeze" in midair.
• If the model rejects realistic human likeness, switch to the Global tier model (

  seedance-2-image-to-video-fast

  ) which allows looser identity matching.
• For vertical/social delivery, set

  aspect_ratio=9:16

  and keep

  duration=10

  for tighter pacing.
• Always keep

  generate_audio=true

  — the snap → silence → snap audio arc is the signature of this effect and should not be muted.

Trigger Keywords

freeze effect

time freeze video

time stop video

snap freeze

frozen world

bullet time crowd

time stand still

pause time effect

Notes for the Executing Agent

• 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.
• 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>

  .
• Substitute

  {{input_name}}

  placeholders with the user's actual inputs before issuing each call.