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muapi-giant-product-showcase

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Original

English
🇨🇳

Translation

Chinese

Giant Product Showcase

巨型产品展示

Create a dramatic "Giant Product" visual where a regular item is showcased as a massive, building-sized object next to a person, then optionally animate the scene.
Estimated credits: ~150 per run.
创建一个极具冲击力的“巨型产品”视觉效果，将一件普通物品展示为与大楼同等规模的巨型物体，并置于人物身旁，还可选择为场景添加动画效果。
预估消耗积分： 每次运行约150积分。

Inputs

输入参数

NameTypeRequiredDefaultDescription
product_image
image_urlyes—A clear image of the product to be made giant.
person_description
textnoa stylishly dressed manDescription of the person standing next to the giant product.
名称类型必填默认值描述
product_image
image_url是—一张清晰的待放大产品图片。
person_description
文本否一位穿着时尚的男士站在巨型产品旁的人物描述。

Steps

步骤

Phase A — Giant Product Visualization

阶段A — 巨型产品可视化

If 
{{product_image}}
is not provided, ask the user to upload a photo of the product.
Once the photo is available, submit the plan with ONE step to create the giant product scene:
  1. Scene Generation — 
    muapi image edit
    (model=
    nano-banana-2-edit
    ):
    • Reference Image: 
      {{product_image}}
    • Prompt: 
      A professional commercial photograph featuring a massive, giant-sized version of the product from the reference image. The product is the size of a person and is standing on a clean, modern floor. Next to the giant product, {{person_description}} is leaning against it or standing nearby, highlighting the enormous scale. High-end product photography, soft studio lighting, realistic reflections, 8k resolution.
    • Aspect ratio: 3:4 or 4:5
Present the generated giant product image to the user for approval.
如果未提供
{{product_image}}
，请要求用户上传产品照片。
获取照片后，提交包含以下一个步骤的方案来创建巨型产品场景：
  1. 场景生成 — 
    muapi image edit
    （模型=
    nano-banana-2-edit
    ）：
    • 参考图片：
      {{product_image}}
    • 提示词：
      一张专业商业摄影图，展示参考图片中产品的巨型版本。产品尺寸与人类相当，放置在干净现代的地面上。巨型产品旁，{{person_description}}正倚靠在产品上或站在附近，凸显其庞大的规模。高端产品摄影风格，柔和的影棚灯光，逼真的反光效果，8K分辨率。
    • 宽高比：3:4 或 4:5
将生成的巨型产品图片呈现给用户确认。

Phase B — Animation (Optional)

阶段B — 动画制作（可选）

After the image is generated, ask the user if they would like to animate the scene into a cinematic showcase video.
If requested, submit the plan with ONE step:
  1. Video Generation — 
    muapi video from-image
    (model=
    veo3.1-fast-image-to-video
    ):
    • Reference Image: The giant product image from Phase A.
    • Prompt: 
      Cinematic slow-motion camera movement around the giant product. The person next to it moves naturally, looking at the camera or adjusting their pose. Dynamic lighting, high-quality textures, professional commercial vibe.
    • Aspect ratio: 9:16 or 4:5
After generation, present the final product showcase video.
图片生成完成后，询问用户是否需要将场景制作为具有电影质感的展示视频。
若用户要求，提交包含以下一个步骤的方案：
  1. 视频生成 — 
    muapi video from-image
    （模型=
    veo3.1-fast-image-to-video
    ）：
    • 参考图片：阶段A生成的巨型产品图片。
    • 提示词：
      围绕巨型产品进行电影级慢镜头移动拍摄。旁边的人物自然移动，看向镜头或调整姿势。动态灯光，高质量纹理，专业商业氛围。
    • 宽高比：9:16 或 4:5
生成完成后，呈现最终的产品展示视频。

Trigger Keywords

触发关键词

giant product
, 
massive object
, 
product showcase
, 
scale comparison
, 
product animation
giant product
, 
massive object
, 
product showcase
, 
scale comparison
, 
product animation

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.
  • 本流程由LLM编排：阅读每个阶段，向用户收集缺失的输入，然后调用
    muapi
    CLI命令。若
    MUAPI_API_KEY
    未设置，请先执行
    muapi auth configure
    。
  • 对于尚未有CLI别名的模型ID，可通过原始端点调用：
    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。
  • 在发起每个调用前，将
    {{input_name}}
    占位符替换为用户的实际输入。