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slug: muapi-multi-angle-shots name: muapi-multi-angle-shots version: "1.0.0" description: Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization. acceptLicenseTerms: true

Multi-Angle Shots

Generate a complete set of multi-angle product shots — front, side, back, top-down, and 45-degree perspective — for comprehensive product visualization.

Inputs

| Name | Type | Required | Default | Description | |:---|:---|:---|:---|:---| | product_name | text | yes | — | The product to photograph (e.g. "black leather sneaker", "glass perfume bottle", "smartwatch"). | | product_image | image_url | no | — | Optional reference product image to use as base. | | background_style | text | no | pure white studio | Background/environment (e.g. "pure white studio", "dark moody grey", "natural marble surface", "lifestyle context"). | | lighting | text | no | soft studio lighting, product photography | Lighting style (e.g. "dramatic side lighting", "flat lay top-down", "rim lighting", "natural daylight"). | | category | text | no | general product | Product category to tailor angle logic (e.g. "footwear", "watch/jewelry", "electronics", "beverage bottle", "skincare"). |

Steps

Submit a single the plan with all angles in parallel.

All Angles (Parallel)

1. Front view — muapi image generate (model=ai-product-photography) if {{product_image}} provided, else muapi image generate (model=nano-banana-pro):

   • Prompt: {{product_name}} — perfectly centered FRONT VIEW, eye-level angle. {{background_style}} background. {{lighting}}. Sharp focus, commercial product photography, ultra detailed, no props.
   • Aspect ratio: 1:1

2. Side / 3/4 angle view — same model as step 1:

   • Prompt: {{product_name}} — elegant 3/4 SIDE ANGLE view, slight perspective showing depth and form. {{background_style}} background. {{lighting}}. Shows product silhouette and side detail, commercial photography.
   • Aspect ratio: 1:1

3. Back view — same model as step 1:

   • Prompt: {{product_name}} — BACK VIEW, centered, showing rear details, finishes, and labels if any. {{background_style}} background. {{lighting}}. Product photography, equal detail to front shot.
   • Aspect ratio: 1:1

4. Top-down / flat lay — muapi image generate (model=ai-product-shot) if {{product_image}} provided, else muapi image generate (model=bytedance-seedream-v4.5):

   • Prompt: {{product_name}} — perfectly overhead TOP-DOWN flat lay view, camera pointing straight down. {{background_style}} surface. Flat lay product photography, even lighting, no shadows at edges, symmetrically placed.
   • Aspect ratio: 1:1

5. Hero glamour shot — muapi image generate (model=nano-banana-pro):

   • Prompt: {{product_name}} — dynamic low-angle HERO SHOT, slightly below eye level looking up at product. Dramatic {{lighting}}, slight depth of field, editorial product photography. {{background_style}} background. Premium commercial advertising quality.
   • Aspect ratio: 4:5

After generation:

• Present all 5 angles in a grid layout description
• Suggest adding a 360° spin video with kling-v3.0-pro-image-to-video
• Offer to upscale any angle with ai-image-upscaler

Notes

• For footwear: emphasize sole view as a 6th angle if requested.
• For watches/jewelry: suggest a macro detail shot as an additional step.
• For electronics: add "showing all ports, buttons, and screen" to front and side prompts.
• ai-product-photography is ideal when a reference image is provided — it preserves product identity.

Trigger Keywords

multi angle, multiple angles, 360 product, product angles, all sides, front back side, product views, angle shots, product photography set

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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.