muapi-award-ceremony-video

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Original

English

🇨🇳

Translation

Chinese

Award Ceremony Video

颁奖典礼视频

Generate a 15-second cinematic awards-ceremony video — a host announces a winner from the stage, a spotlight finds them in the crowd, they walk up to the podium, receive the award, and the LED display reveals their name and "THE BEST ACTOR".

Estimated credits: ~120 per run.

生成一段15秒的电影质感颁奖典礼视频——主持人在舞台上宣布获奖者，聚光灯在人群中锁定他们，他们走上领奖台接过奖项，LED显示屏同步显示出他们的名字与“THE BEST ACTOR”字样。

预估消耗积分： 每次生成约120积分。

Inputs

输入参数

Name	Type	Required	Default	Description
`winner_image`	image_url	yes	—	A clear photo of the winner. Becomes `@image_1` — their identity is strict-locked across the video.
`host_image`	image_url	yes	—	A clear photo of the host. Becomes `@image_2` — sole presenter on stage at the podium.
`winner_name`	text	no	Olivia	The name announced by the host and shown on the LED stage display under "THE BEST ACTOR".

名称	类型	必填	默认值	描述
`winner_image`	image_url	是	—	获奖者清晰照片，将被标记为 `@image_1` ——其身份在视频中会被严格锁定。
`host_image`	image_url	是	—	主持人清晰照片，将被标记为 `@image_2` ——作为舞台领奖台上的唯一主持人。
`winner_name`	text	否	Olivia	主持人宣布并显示在舞台LED屏“THE BEST ACTOR”下方的获奖者姓名。

Steps

操作步骤

Phase A — Confirm Inputs

阶段A — 确认输入参数

If either

{{winner_image}}

{{host_image}}

is missing, ask the user to upload them. Confirm

{{winner_name}}

before generation — it appears spoken in the audio and rendered on the LED display.

若

{{winner_image}}

或

{{host_image}}

任一缺失，请要求用户上传。生成前确认

{{winner_name}}

——该姓名会出现在音频旁白和LED显示屏上。

Phase B — Generate the Ceremony Video

阶段B — 生成颁奖典礼视频

Submit the plan with ONE step using the Seedance 2.0 image-to-video fast variant (multi-reference). Pass the images in this exact order — order maps to

@image_1

then

@image_2

Award Ceremony Video —

muapi video from-image

(model=

seedance-2-image-to-video-fast

, or fall back to raw endpoint

bytedance-seedance-2-0-reference-to-video-fast

Reference images (in order):
```
{{winner_image}}
```
,
```
{{host_image}}
```
Aspect ratio:
```
16:9
```
Duration:
```
15
```
Resolution:
```
720p
```
Generate audio:
```
true
```

Prompt:

**Style:** Ultra-realistic live awards ceremony scene. Multi-camera broadcast style — switches between polished TV broadcast angles and intimate handheld documentary coverage. Cinematic prestige feel — think Grammy Awards or Academy Awards production quality. Natural human reactions, no over-acting.

**Audio:** Natural ceremony sound — elegant orchestral background music, host microphone voice projecting through venue speakers, crowd murmur, then erupting applause and cheers, chair movement, footsteps on stage, trophy/plaque handling sound, emotional crowd reaction.

**Lighting:** Grand indoor awards venue. Dramatic stage lighting — warm golden spotlights on stage, cooler ambient lighting over audience seating. Broadcast camera lights. LED stage displays casting colored light. When winner is announced — a warm spotlight sweeps and locks onto the winner in the audience.

**Setting:** Massive prestigious awards venue — Grammy or Academy Awards scale. Grand stage with towering LED displays, elegant podium, live orchestra pit. Thousands of formally dressed audience members seated in rows. Press cameras lining the aisles. Large overhead screens showing live broadcast feed. The venue radiates prestige and scale.

**Main Character STRICT LOCK:**

**@image_1 — THE WINNER "{{winner_name}}":** Use @image_1 as strict identity. The person dressed in formal awards show attire for the award ceremony. No sunglasses. No modifications to face or build. Seated in the audience among other formally dressed attendees.

**@image_2 — THE HOST:** Use @image_2 as strict identity as the sole host on stage at the podium. Maintain exact face, build, and features. Dressed in formal awards show attire. No modifications to face or build allowed.

**SCENE TIMELINE — 15 SECONDS**

**0–3s — THE ANNOUNCEMENT:**
**Broadcast close-up** directly on @image_2's face — tight, cinematic, high production quality. @image_2 stands at the podium microphone under a warm golden spotlight. Expression is composed, charismatic, building suspense deliberately. The person holds the envelope or card, glances down at it one final time, then looks straight into camera. A beat of silence. The person leans into the microphone and says slowly: *"And the winner is..."* Camera holds tight on @image_2's face — lips, expression, the tension of the moment. Crowd murmur audible in background.

**3–6s — THE WINNER:**
Hard **broadcast cut** to audience — low-angle TV camera shot pushing through seated rows. Camera finds @image_1 seated among other guests, relaxed, not expecting it. @image_2's voice continues booming through the venue speakers: *"...{{winner_name}}"* Spotlight snaps onto @image_1 from above. The person's expression shifts — genuine shock, eyes wide, mouth slightly open, then breaks into a real overwhelmed smile. The person looks left and right at the people beside in disbelief. The crowd erupts into applause and cheers. People around the person stand, clapping, patting their shoulders.

**6–9s — RISING AND WALKING:**
@image_1 straightens up, composes themselves, stands from their seat. **Handheld documentary camera** picks the person up immediately — tracking from the aisle as the person moves forward toward the stage. Camera moves with the person — slightly shaky, intimate, real. Applause continues thundering through the venue. Overhead broadcast screens cut to the person's face live. The person walks with composure — attire clean, posture upright, expression warm and slightly emotional.

**9–12s — REACHING THE STAGE:**
Handheld camera follows @image_1 up the stage steps. Bright stage spotlights hit the person fully as they ascend. @image_2 steps forward from the podium smiling warmly, holding the award plaque with both hands. @image_1 reaches the podium. @image_2 presents the plaque — @image_1 receives it with both hands, looks down at it for a brief genuine moment. The two share a natural smile and brief handshake. Behind them on the massive **LED stage display**: a large portrait of @image_1's face, the person's name in bold elegant typography — **"{{winner_name}}"** — and beneath it: **"THE BEST ACTOR."** The display glows and pulses with celebratory graphics.

**12–15s — THE MOMENT:**
Camera settles into a **wide broadcast shot** of the full stage — @image_1 standing at the podium, award plaque in hand, @image_2 standing beside the person, LED wall blazing behind them both with @image_1's name and face. Spotlights lock on @image_1. Applause fills the entire venue — standing ovation building across the audience. @image_1 raises the plaque slightly, looks out at the crowd, smile composed and genuine. @image_2 leads the applause from the stage beside the person. Final frame holds — the full stage, the glowing LED display, the roaring crowd, and @image_1 standing at the center of it all. No fade to black.

After generation, present the final 15-second award-ceremony video.

通过一个步骤提交生成计划，使用Seedance 2.0图生视频快速变体（多参考图模式）。请严格按照以下顺序传入图片——顺序对应

@image_1

（获奖者）和

@image_2

（主持人）：

颁奖典礼视频生成 — 执行

muapi video from-image

命令（模型=

seedance-2-image-to-video-fast

，若该CLI别名未生效，可 fallback 至原始端点

bytedance-seedance-2-0-reference-to-video-fast

）：

参考图片（顺序）：
```
{{winner_image}}
```
,
```
{{host_image}}
```
宽高比：
```
16:9
```
时长：
```
15
```
分辨率：
```
720p
```
生成音频：
```
true
```

提示词：

**风格：** 超写实直播颁奖典礼场景，多机位转播风格——在精致的电视转播视角与近距离手持纪录片视角间切换。具备电影级质感，参考格莱美奖或奥斯卡奖的制作水准。人物反应自然，无过度表演。

**音频：** 自然的典礼音效——优雅的管弦乐背景音乐、主持人通过场地扬声器传出的麦克风声音、人群低语声，随后爆发的掌声与欢呼声、座椅移动声、上台脚步声、奖杯/奖牌的触碰声、饱含情绪的人群反应声。

**灯光：** 大型室内颁奖场地。戏剧化舞台灯光——舞台上的暖金色聚光灯、观众席区域的冷色调环境光、转播摄像机灯光、LED舞台屏投射的彩色灯光。当获奖者被宣布时，一束暖色调聚光灯会扫过观众席并锁定获奖者。

**场景：** 极具声望的大型颁奖场地——规模对标格莱美奖或奥斯卡奖。配备巨型LED显示屏、典雅领奖台、现场乐团池的宏伟舞台。数千名身着正装的观众按排就座。过道两侧排列着媒体摄像机。大型悬挂屏幕实时转播现场画面。整个场地彰显出高端质感与宏大规模。

**核心人物身份严格锁定：**

**@image_1 — 获奖者「{{winner_name}}」：** 严格使用@image_1作为身份标识。人物身着颁奖典礼正装，不得佩戴墨镜，不得修改面部或体型。坐在观众席中，周围是其他身着正装的参会者。

**@image_2 — 主持人：** 严格使用@image_2作为身份标识，作为舞台领奖台上的唯一主持人。需保持面部、体型及特征完全一致，身着颁奖典礼正装，不得修改面部或体型。

**场景时间线 — 15秒**

**0–3秒 — 宣布时刻：**
**转播特写镜头**对准@image_2的面部——镜头紧凑、具电影感、制作水准高。@image_2站在领奖台麦克风前，被暖金色聚光灯照亮。表情沉稳有魅力，刻意营造悬念。手持信封或卡片，最后一次低头查看，随后直视镜头。短暂 Silence。人物凑近麦克风缓缓说道：*“获奖者是……”* 镜头持续聚焦@image_2的面部——嘴唇、表情、此刻的紧张感。背景可听到人群低语声。

**3–6秒 — 获奖者反应：**
镜头**硬切至观众席**——低角度电视摄像机镜头穿过座位排推进。镜头找到坐在宾客中的@image_1，其神态放松，毫无准备。@image_2的声音通过场地扬声器继续传出：*“……{{winner_name}}”* 聚光灯从上方瞬间锁定@image_1。人物表情转变——真实的震惊、双眼睁大、微张嘴巴，随后露出激动的笑容。左右环顾身旁的人，满脸不敢置信。人群爆发出掌声与欢呼声。周围的人起身鼓掌，拍其肩膀表示祝贺。

**6–9秒 — 起身与上台：**
@image_1挺直身体、平复情绪，从座位站起。**手持纪录片摄像机**立刻跟进——从过道开始追踪人物走向舞台的全程。镜头随人物移动——略带晃动、近距离、真实感强。掌声持续响彻全场。悬挂转播屏幕切换至人物的实时面部画面。人物从容行走——着装整洁、姿态端正、表情温暖略带激动。

**9–12秒 — 抵达舞台：**
手持摄像机跟随@image_1走上舞台台阶。人物登上台阶时，明亮的舞台聚光灯完全照亮其全身。@image_2从领奖台上前一步，面带微笑双手捧着奖牌。@image_1抵达领奖台。@image_2递出奖牌——@image_1双手接过，短暂低头注视奖牌，表情真挚。两人自然微笑并短暂握手。他们身后的巨型**LED舞台屏**上显示：@image_1的大幅肖像、采用优雅粗体字呈现的姓名——**「{{winner_name}}」**，以及下方的字样：**「THE BEST ACTOR」**。屏幕伴随庆祝特效闪烁律动。

**12–15秒 — 高光时刻：**
镜头切换为**全景转播镜头**，展示整个舞台——@image_1站在领奖台前，手持奖牌，@image_2站在其身旁，身后的LED屏闪耀着@image_1的姓名与肖像。聚光灯锁定@image_1。掌声填满整个场地——观众席全体起立鼓掌。@image_1微微举起奖牌，望向人群，表情沉稳真挚。@image_2在舞台旁带头鼓掌。最终画面定格——完整的舞台、闪耀的LED屏、欢呼的人群，@image_1站在舞台中央。无渐黑效果。

生成完成后，向用户展示最终的15秒颁奖典礼视频。

Trigger Keywords

触发关键词

award ceremony

awards show video

oscars video

grammy ceremony

best actor award

winner announcement video

red carpet award

award ceremony

awards show video

oscars video

grammy ceremony

best actor award

winner announcement video

red carpet award

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.
Image order is load-bearing. The Winner must be the first image (resolves to
```
@image_1
```
) and the Host must be the second (
```
@image_2
```
). Reversing them swaps who announces and who walks up.
Substitute
```
{{input_name}}
```
placeholders with the user's actual inputs before issuing each call. The winner's name appears both in the spoken audio cue and on the LED display, so spell-check it before generation.

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 '{...}'

(passing

image_urls

aspect_ratio

duration

resolution

generate_audio

prompt

) and poll with

muapi predict wait <request_id>

本流程由LLM编排：请通读各阶段，向用户收集缺失的输入参数，再调用
```
muapi
```
CLI命令。若
```
MUAPI_API_KEY
```
未设置，请先执行
```
muapi auth configure
```
。
图片顺序至关重要：获奖者图片必须是第一张（对应
```
@image_1
```
），主持人图片必须是第二张（对应
```
@image_2
```
）。颠倒顺序会导致主持人与获奖者角色互换。
在发起调用前，请将
```
{{input_name}}
```
占位符替换为用户的实际输入。获奖者姓名会同时出现在音频旁白和LED显示屏上，因此生成前需检查拼写是否正确。

若部分模型ID尚无CLI别名，可 fallback 至原始端点，执行

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

（传入

image_urls

、

aspect_ratio

、

duration

、

resolution

、

generate_audio

、

prompt

参数），并通过

muapi predict wait <request_id>

轮询结果。