Back to Details

muapi-interior-design-visualizer

Compare original and translation side by side

🇺🇸

Original

English
🇨🇳

Translation

Chinese

Interior Design Visualizer

室内设计可视化工具

Visualize interior design by generating an empty room and filling it with stylish furniture and decor, or by redesigning an existing room.
Estimated credits: ~100 per run.
通过生成空房间并布置时尚家具与装饰，或重新设计现有房间，实现室内设计可视化。
预估消耗积分： 每次运行约100积分。

Inputs

输入参数

NameTypeRequiredDefaultDescription
room_type
textnomodern living roomThe type of room to design (e.g. living room, bedroom, office).
design_style
textnocontemporary minimalistThe aesthetic style (e.g. Scandinavian, Industrial, Bohemian).
empty_room_image
image_urlno—Optional image of an empty room to be used as a base.
名称类型是否必填默认值描述
room_type
文本否modern living room要设计的房间类型（例如客厅、卧室、办公室）。
design_style
文本否contemporary minimalist美学风格（例如斯堪的纳维亚风格、工业风、波西米亚风）。
empty_room_image
图片链接否—可选的空房间图片，用作设计基底。

Steps

操作步骤

Phase A — Room Setup

阶段A — 房间搭建

If 
{{empty_room_image}}
is not provided, submit the plan with ONE step to generate an empty base room:
  1. Empty Room Generation — 
    muapi image generate
    (model=
    gpt-image-2-text-to-image
    ):
    • Prompt: 
      A professional wide-angle photograph of a completely empty {{room_type}} with {{design_style}} architecture. Large windows with natural light, clean wooden or tiled flooring, white or neutral-colored walls, no furniture, high ceiling. High-quality architectural photography, cinematic look.
    • Aspect ratio: 4:3 or 1:1
Present the empty room to the user.
如果未提供
{{empty_room_image}}
，则提交包含以下一个步骤的计划来生成空基底房间：
  1. 空房间生成 — 
    muapi image generate
    (模型=
    gpt-image-2-text-to-image
    ):
    • 提示词：
      A professional wide-angle photograph of a completely empty {{room_type}} with {{design_style}} architecture. Large windows with natural light, clean wooden or tiled flooring, white or neutral-colored walls, no furniture, high ceiling. High-quality architectural photography, cinematic look.
    • 宽高比：4:3或1:1
将生成的空房间展示给用户。

Phase B — Furnishing & Styling

阶段B — 家具布置与风格设计

Once the base room is ready, submit the plan to fill it with furniture:
  1. Room Furnishing — 
    muapi image edit
    (model=
    nano-banana-2-edit
    ):
    • Reference Image: The empty room image from Phase A (or the user-provided 
      {{empty_room_image}}
      ).
    • Prompt: 
      A stunningly designed {{room_type}} filled with high-end furniture in a {{design_style}} style. Includes a comfortable sofa, stylish coffee table, elegant rug, indoor plants, decorative wall art, and ambient lighting. The furniture placement is natural and architecturally sound. Photorealistic textures, soft lighting, cozy and inviting atmosphere, 8k resolution.
    • Aspect ratio: Same as the base image.
After generation, present the final interior design visualization to the user. You can offer to generate variations with different styles (e.g., "Change style to Industrial").
基底房间准备就绪后，提交计划为其布置家具：
  1. 房间家具布置 — 
    muapi image edit
    (模型=
    nano-banana-2-edit
    ):
    • 参考图片：阶段A生成的空房间图片（或用户提供的
      {{empty_room_image}}
      ）。
    • 提示词：
      A stunningly designed {{room_type}} filled with high-end furniture in a {{design_style}} style. Includes a comfortable sofa, stylish coffee table, elegant rug, indoor plants, decorative wall art, and ambient lighting. The furniture placement is natural and architecturally sound. Photorealistic textures, soft lighting, cozy and inviting atmosphere, 8k resolution.
    • 宽高比：与基底图片一致。
生成完成后，向用户展示最终的室内设计可视化效果。你可以提供生成不同风格变体的选项（例如："切换为工业风格"）。

Trigger Keywords

触发关键词

interior design
, 
room visualizer
, 
furniture design
, 
home decor
, 
redesign room
interior design
, 
room visualizer
, 
furniture design
, 
home decor
, 
redesign room

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。如果
    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>
    轮询结果。
  • 在发出每个调用前，将
    {{input_name}}
    占位符替换为用户的实际输入。