Muapi Drone Style Video

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

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.