Muapi Giant Product Showcase

Giant Product Showcase

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.

Inputs

Steps

Phase A — Giant Product Visualization

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.

Phase B — Animation (Optional)

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.

Trigger Keywords

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

Notes for the Executing Agent

• 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.