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

NameTypeRequiredDefaultDescription
animal_type
textnomonkeyThe type of animal vlogging (e.g., monkey, dog, cat, bear).
location
textnobusy streets of Noida, IndiaThe setting for the vlog.
clothing
textnoa bright red t-shirtWhat the animal is wearing.
script
textnoक्या 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monkey博主的动物类型(例如:猴子、狗、猫、熊)。
location
文本busy streets of Noida, India博客的场景设置。
clothing
文本a bright red t-shirt动物穿着的服饰。
script
文本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:
  1. Image Generation
    muapi image generate
    (model=
    nano-banana
    or
    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:
  1. 图像生成
    muapi image generate
    (模型=
    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)
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:
  1. Video Generation
    muapi video generate
    or
    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:
  1. 视频生成
    muapi video generate
    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。