muapi-animal-video-generator
Compare original and translation side by side
🇺🇸
Original
English🇨🇳
Translation
ChineseAnimal 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 |
|---|---|---|---|---|
| text | no | monkey | The type of animal vlogging (e.g., monkey, dog, cat, bear). |
| text | no | busy streets of Noida, India | The setting for the vlog. |
| text | no | a bright red t-shirt | What the animal is wearing. |
| 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 |
|---|---|---|---|---|
| 文本 | 否 | monkey | 博主的动物类型(例如:猴子、狗、猫、熊)。 |
| 文本 | 否 | busy streets of Noida, India | 博客的场景设置。 |
| 文本 | 否 | a bright red t-shirt | 动物穿着的服饰。 |
| 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 — (model=
muapi image generateornano-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)
- Prompt:
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 — (模型=
muapi image generate或nano-banana):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)
- 提示词:
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 — or
muapi video generate(model=muapi video from-image):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 — 或
muapi video generate(模型=muapi video from-image):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 videofunny monkey videoanimal vloggervlog videomonkey in noidaanimal videofunny monkey videoanimal vloggervlog videomonkey in noidaNotes 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 CLI commands. Use
muapifirst ifmuapi auth configureis unset.MUAPI_API_KEY - For model IDs without a CLI alias yet, fall back to the raw endpoint via and poll with
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'.muapi predict wait <request_id> - Substitute placeholders with the user's actual inputs before issuing each call.
{{input_name}}
- 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CLI命令。若
muapi未设置,请先使用MUAPI_API_KEY进行配置。muapi auth configure - 对于尚未有CLI别名的模型ID,可通过调用原始端点,并使用
curl -X POST https://api.muapi.ai/api/v1/<endpoint> -H "x-api-key: $MUAPI_API_KEY" -H 'content-type: application/json' -d '{...}'进行轮询。muapi predict wait <request_id> - 执行每个调用前,将占位符替换为用户的实际输入。
{{input_name}}