muapi-3d-logo-animation

3D Logo Animation

Transform a 2D logo into a premium 3D version and animate it with professional cinematic effects.

Inputs

Name	Type	Required	Default	Description
logo_image	image_url	yes	—	A clear 2D image of the logo to be converted to 3D.
material_style	text	no	glossy glass and chrome	The material style for the 3D logo (e.g., gold, matte plastic, holographic).

Steps

Phase A — 3D Logo Transformation

If {{logo_image}} is not provided, ask the user to upload their logo.

Once the logo is available, submit the plan with ONE step to convert it to 3D:

1. 3D Logo Generation — muapi image edit (model=nano-banana-2-edit):
   • Reference Image: {{logo_image}}
   • Prompt: Transform this 2D logo into a premium, high-quality 3D version. The logo should have depth and be made of {{material_style}}. Smooth edges, realistic reflections, and professional studio lighting. The logo is centered on a clean, minimal, out-of-focus background. High-end graphic design aesthetic, 8k resolution.
   • Aspect ratio: 1:1 or 4:3

Present the 3D logo to the user for approval.

Phase B — Cinematic Logo Animation

Once the 3D logo is ready, submit the plan to animate it:

1. Logo Animation — muapi video from-image (model=veo3.1-fast-image-to-video):
   • Reference Image: The 3D logo from Phase A.
   • Prompt: A professional cinematic logo reveal animation. The 3D logo rotates slowly with dynamic light sweeps reflecting off its {{material_style}} surface. Subtle camera movement, particle effects in the background, high-quality motion graphics style.
   • Aspect ratio: 16:9 or 1:1

After generation, present the final 3D logo animation to the user.

Trigger Keywords

3d logo, logo animation, 2d to 3d logo, animated logo, cinematic logo

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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.