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roomix / product-placement

Composite 1–4 product reference images into a room or outdoor scene photo, with optional brushed-area or text guidance. Preserves the source scene and matches the product to existing lighting, scale, and perspective.

Starts from $0.039 /run
2 model optionspublicpublished
OpenAPI

Wrapper Input

Input

URL of the room or outdoor scene photo to place products into.

  • https://media.modelrunner.ai/4ffo6Rxau8TQ6pTf-product-EEB14A30-DFE4-4F8A-B474-E18D69C5F207.jpg

1–4 product reference image URLs. Each is treated as a distinct product to place in the scene.

Optional copy of the source scene with bright-yellow brush strokes marking where the product should go. Only effective with a single product reference.

Optional natural-language placement guidance (e.g. 'on the left wall, next to the sofa'). Leave blank to let the model choose the most natural placement.

Output image size preset. `auto` matches the source photo's aspect.

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Wrapper Output

Output

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Logs (1 lines)

Wrapper Examples

Examples

Example output 1Example output 2Example output 3

Pricing

Base ModelPricing ModeEffective Cost
nano-banana-2/editdefaultmegapixel tieredTiered pricing
nano-bananaper output0.039

Wrapper Details

Model Details

Place one to four products into an existing photo of a room, yard, balcony, garden, or other real-world scene. The wrapper composites the products into the scene while preserving the original architecture, surfaces, decor, and lighting. Guidance is optional: brush a region on a copy of the source photo (single-product only), describe placement in natural language, or skip both and let the model decide. The model is instructed to match scale, perspective, lighting, and contact shadows, and to avoid hallucinated text, logos, or restyling of existing surfaces. Output size defaults to `auto` so the result matches the source aspect.