Drone-Style Video

Estimated credits: ~80 per run.

Inputs

location_or_subject

shot_type

style

aspect_ratio

reference_image

Steps

Phase A — Generate Drone Footage

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}}

• 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.