muapi-animal-video-generator

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🇺🇸

Original

English

🇨🇳

Translation

Chinese

Animal Vlogger Video

动物博主视频

Create a hilarious and ultra-realistic video of an anthropomorphic animal acting like a human vlogger in a real-world setting.

Estimated credits: ~150 per run.

创建一个搞笑且超写实的视频，内容为拟人化动物在现实场景中扮演人类博主。

预估消耗点数： 每次运行约150点。

Inputs

输入参数

Name	Type	Required	Default	Description
`animal_type`	text	no	monkey	The type of animal vlogging (e.g., monkey, dog, cat, bear).
`location`	text	no	busy streets of Noida, India	The setting for the vlog.
`clothing`	text	no	a bright red t-shirt	What the animal is wearing.
`script`	text	no	क्या यार, कहाँ फंस गया नॉएडा में आके? इससे तो बैंगलोर ही अच्छा था. यहाँ तो बड़ी गर्मी है भाई. पसीने ही छूट गए मेरे तो.	The dialogue for lip-sync.

名称	类型	是否必填	默认值	描述
`animal_type`	文本	否	monkey	博主的动物类型（例如：猴子、狗、猫、熊）。
`location`	文本	否	busy streets of Noida, India	博客的场景设置。
`clothing`	文本	否	a bright red t-shirt	动物穿着的服饰。
`script`	文本	否	क्या यार, कहाँ फंस गया नॉएडा में आके? इससे तो बैंगलोर ही अच्छा था. यहाँ तो बड़ी गर्मी है भाई. पसीने ही छूट गए मेरे तो.	用于唇形同步的对话内容。

Steps

步骤

Phase A — Generate Vlogger Image

阶段A — 生成博主图像

Submit the plan with ONE step to create the base image of the animal vlogger:

Image Generation —

muapi image generate

(model=

nano-banana

nano-banana-pro

Prompt:

Ultra-realistic, cinematic portrait of an expressive {{animal_type}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animal_type}} is anthropomorphic, walking upright, and looks like a believable vlogger. Sweating slightly in the heat, highly detailed, photorealistic. Background shows a bustling street, people eating at stalls, vibrant urban details.

Aspect ratio: 9:16 (for vertical vlog style)

After generating the image, present it to the user.

提交包含一个步骤的方案，创建动物博主的基础图像：

图像生成 —

muapi image generate

（模型=

nano-banana

或

nano-banana-pro

）：

提示词：

Ultra-realistic, cinematic portrait of an expressive {{animal_type}} wearing {{clothing}}, holding a selfie stick on the {{location}}. The {{animal_type}} is anthropomorphic, walking upright, and looks like a believable vlogger. Sweating slightly in the heat, highly detailed, photorealistic. Background shows a bustling street, people eating at stalls, vibrant urban details.

宽高比：9:16（适配竖屏博客风格）

生成图像后，将其展示给用户。

Phase B — Video Generation

阶段B — 生成视频

Once the image is approved, submit a second the plan with ONE step to animate it with lip-sync:

Video Generation —

muapi video generate

muapi video from-image

(model=

veo3.1-fast-image-to-video

Reference Image: The generated image from Phase A.

Prompt:

Create an ultra-realistic cinematic video featuring a lifelike {{animal_type}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animal_type}} is expressive, looks mildly disgruntled, and speaks naturally. Occasional quick zoom-in on the disappointed face. Background features busy street life, vibrant colors. Smooth gimbal-like camera motion.

Dialogue for Lip-Sync (if tool supports audio/lipsync):
```
{{script}}
```
Aspect ratio: 9:16

After generation, present the final funny video.

图像获得批准后，提交第二个包含一个步骤的方案，为图像添加唇形同步动画：

视频生成 —

muapi video generate

或

muapi video from-image

（模型=

veo3.1-fast-image-to-video

）：

参考图像：阶段A生成的图像。

提示词：

Create an ultra-realistic cinematic video featuring a lifelike {{animal_type}} vlogging with a selfie stick on the {{location}}. The film starts in selfie mode, camera slightly wide-angle. The {{animal_type}} is expressive, looks mildly disgruntled, and speaks naturally. Occasional quick zoom-in on the disappointed face. Background features busy street life, vibrant colors. Smooth gimbal-like camera motion.

唇形同步对话（若工具支持音频/唇形同步）：
```
{{script}}
```
宽高比：9:16

生成完成后，展示最终的搞笑视频。

Trigger Keywords

触发关键词

animal video

funny monkey video

animal vlogger

vlog video

monkey in noida

animal video

funny monkey video

animal vlogger

vlog video

monkey in noida

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。若
```
MUAPI_API_KEY
```
未设置，请先使用
```
muapi auth configure
```
进行配置。

对于尚未有CLI别名的模型ID，可通过

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

调用原始端点，并使用

muapi predict wait <request_id>

进行轮询。

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