muapi-freeze-effect-video

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Original

English

🇨🇳

Translation

Chinese

Freeze Effect Video

定格效果视频

Generate a cinematic "freeze effect" video where time stops mid-scene, the subject walks through the frozen world, then time resumes with a snap.

Estimated credits: ~150 per run.

生成一个电影级的「定格效果」视频，让时间在场景中途暂停，主角穿梭于静止的世界，随后弹指让时间恢复流动。

预估消耗点数： 每次运行约150点。

Inputs

输入参数

Name	Type	Required	Default	Description
`photo`	image_url	yes	—	Reference photo of the main character (face/body) whose appearance must remain consistent across all shots.
`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").
`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.
`closing_line`	text	no	perfect	A short word/phrase the character whispers before resuming time.
`aspect_ratio`	text	no	16:9	Output aspect ratio — "16:9" for cinematic, "9:16" for vertical/social.
`duration`	text	no	15	Target duration in seconds (10 or 15 recommended).

名称	类型	是否必填	默认值	描述
`photo`	image_url	是	—	主角的参考照片（面部/全身），其外貌在所有镜头中必须保持一致。
`scene`	text	否	a packed, dimly lit sports bar with neon accents, blurred TVs showing a championship celebration	时间将暂停的场景（例如「热闹的夜总会」、「婚礼招待会」、「体育场人群」）。
`freeze_moment`	text	否	golden arcs of beer suspended midair, popcorn floating motionless, people frozen mid-cheer	标志性的定格视觉元素——时间暂停时悬浮在空中的物体。
`closing_line`	text	否	perfect	主角在恢复时间前轻声说出的简短词语/短语。
`aspect_ratio`	text	否	16:9	输出画面比例——「16:9」为电影级比例，「9:16」为竖屏/社交平台比例。
`duration`	text	否	15	目标时长（单位：秒，推荐10或15秒）。

Steps

步骤

Phase A — Generate the Freeze Effect Video

阶段A — 生成定格效果视频

Submit the plan with ONE step:

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.

After generation, present the video to the user.

提交包含以下单个步骤的方案：

定格效果视频 —

muapi video from-image

（model=

seedance-v2.0-i2v

, quality=

high

, generate_audio=

true

）：

参考图片：
```
{{photo}}
```
画面比例：
```
{{aspect_ratio}}
```
时长：
```
{{duration}}
```
分辨率：
```
720p
```

提示词：

超写实风格，采用Arri Alexa Mini拍摄，35mm镜头，{{scene}}，体积雾，动态硬阴影，浅景深。

主角：
来自@image1的人物。面部特征和身体比例在所有镜头中保持一致。

[0:00–0:03]
{{scene}}。时间正常流动。
稳定器正面中景镜头跟随主角自信地穿过人群。
人群在他们周围爆发出欢呼声。
主角行走时抬起右手弹指。

[0:03–0:06]
弹指瞬间，指尖发出一道细微的球形冲击波——空气扭曲和光线折射向外扩散。
所有物体瞬间定格在运动状态中。
{{freeze_moment}}。
霓虹灯光捕捉到空气中的灰尘和液体。
绝对寂静。

[0:06–0:09]
只有主角可以移动。
轻柔、回荡的脚步声。
镜头向后跟随，主角穿梭在定格场景中，冷静观察。
他们伸手从空中摘下一个悬浮的小物件。

[0:09–0:11]
他们停在一名定格的旁观者面前，对方脸上洋溢着狂喜的表情。
主角歪头，仔细观察。
轻声道：「{{closing_line}}」。

[0:11–0:15]
他们转身面向镜头， smirk，再次弹指。
一道更强的反向冲击波扩散开来。
所有动作瞬间恢复——声音骤然爆发，人们回到跳跃的中途动作。
主角离开，镜头穿过欢呼的人群向前推进。

渐黑结束。

音效设计：
震耳欲聋的庆祝环境音 → 弹指声 → 低沉的冲击波/重音下降 → 绝对寂静 → 脚步声 → 轻柔低语 → 弹指声 → 反向冲击波 → 震耳欲聋的庆祝声回归。

生成完成后，将视频交付给用户。

Notes

注意事项

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.

角色身份由
```
@image1
```
锚定——参考照片必须清晰展示主角的面部。
为获得最佳效果，请选择包含人群活力和大量可合理「定格」在空中的小物件（液体、彩屑、火花）的
```
scene
```
。
如果模型拒绝生成逼真的人像，切换至Global tier模型（
```
seedance-2-image-to-video-fast
```
），该模型允许更宽松的身份匹配。
若用于竖屏/社交平台发布，设置
```
aspect_ratio=9:16
```
并将
```
duration=10
```
以保证紧凑节奏。
始终保持
```
generate_audio=true
```
——「弹指→寂静→弹指」的音效弧线是该效果的标志性元素，请勿静音。

Trigger Keywords

触发关键词

freeze effect

time freeze video

time stop video

snap freeze

frozen world

bullet time crowd

time stand still

pause time effect

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

执行Agent注意事项

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.

本方案由LLM编排：阅读每个阶段，收集用户缺失的输入，然后调用
```
muapi
```
CLI命令。如果未设置
```
MUAPI_API_KEY
```
，请先执行
```
muapi auth configure
```
。

对于尚未有CLI别名的模型ID，通过原始端点回退调用：

curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'

，并使用

muapi predict wait <request_id>

轮询结果。

在发出每个调用前，将
```
{{input_name}}
```
占位符替换为用户的实际输入。