Drone-Style Video

Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.

Inputs

Steps

Phase A — Generate Drone Footage

Submit the plan with ONE step:

1. Aerial video — If {{reference_image}} is provided, use muapi video generate (model=veo3.1-image-to-video); otherwise use muapi video generate (model=veo3.1-text-to-video).
   • Build prompt based on {{shot_type}}:
     • reveal: Drone camera starts low, slowly ascends and reveals {{location_or_subject}}, sweeping wide aerial perspective, {{style}}
     • orbit: Drone camera orbits {{location_or_subject}} in a smooth circular arc, 360-degree aerial rotation, {{style}}
     • flyover: Drone camera flies low and fast over {{location_or_subject}}, tracking forward momentum, depth of field, {{style}}
     • top-down: Perfect overhead bird's eye view of {{location_or_subject}}, drone looking straight down, minimal distortion, {{style}}
   • Append to all prompts: DJI-quality drone footage, stabilized gimbal, no shake, cinematic color grade, photorealistic
   • Aspect ratio: {{aspect_ratio}}

After generation, offer:

• A different shot type variation
• Adding wind/ambient audio via mmaudio-v2-video-to-video
• Upscaling via ai-video-upscaler-pro

Notes

• For architecture, emphasize "slow orbit to reveal full building facade".
• For landscapes, use "magic hour lighting" for the best results.
• veo3.1-text-to-video produces the best physics and camera motion for aerial scenes.

Trigger Keywords

drone, aerial, bird's eye, flyover, aerial shot, drone footage, top down, overhead video

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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.