Product Video Ad Maker

Create a high-end cinematic product video advertisement starting from a simple product photo.

Inputs

Steps

Phase A — Premium Product Rendering

If {{product_image}} is not provided, ask the user to upload their product photo.

Once the photo is available, submit the plan with ONE step to re-render the product in a premium setting:

1. Product Rendering — muapi image edit (model=flux-2-pro-edit):

• Reference Image: {{product_image}}
• Prompt: A high-end, professional commercial photograph of the product from the reference image, {{scene_description}}. Soft studio lighting, realistic reflections, cinematic depth of field, sharp focus on the product. 8k resolution, elegant and minimal composition.
• Aspect ratio: 1:1 or 4:5

Present the premium product image to the user for approval.

Phase B — Cinematic Video Ad Generation

Once the image is approved, submit the plan to animate it into a video ad:

1. Video Ad Generation — muapi video from-image (model=wan2.5-image-to-video-fast):

• Reference Image: The premium image from Phase A.
• Prompt: A cinematic product advertisement video. Smooth, slow-motion camera movement panning across the product. Subtle environmental movements (e.g., leaves swaying, light shifting). High-quality commercial cinematography, elegant transitions, professional look.
• Aspect ratio: 16:9 or 9:16

After generation, present the final product video advertisement to the user.

Trigger Keywords

product video ad, video ad maker, cinematic product video, commercial video maker, professional product ad

---

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.