muapi-multi-angle-shots

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

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NPX Install

npx skill4agent add samuraigpt/generative-media-skills muapi-multi-angle-shots

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.
Estimated credits: ~120 per run.

Inputs

NameTypeRequiredDefaultDescription
product_name
textyesThe product to photograph (e.g. "black leather sneaker", "glass perfume bottle", "smartwatch").
product_image
image_urlnoOptional reference product image to use as base.
background_style
textnopure white studioBackground/environment (e.g. "pure white studio", "dark moody grey", "natural marble surface", "lifestyle context").
lighting
textnosoft studio lighting, product photographyLighting style (e.g. "dramatic side lighting", "flat lay top-down", "rim lighting", "natural daylight").
category
textnogeneral productProduct 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

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.