Drone-Style Video
Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.
Inputs
| Name |
Type |
Required |
Default |
Description |
location_or_subject |
text |
yes |
— |
What to shoot from above (e.g. "mountain valley at sunrise", "luxury villa by the ocean", "crowded city intersection"). |
shot_type |
text |
no |
reveal |
Camera movement style — 'reveal' (ascend & reveal), 'orbit' (circle subject), 'flyover' (pass over), 'top-down' (bird's eye static). |
style |
text |
no |
golden hour, cinematic, 4K, ultra-detailed |
Visual atmosphere (e.g. "dramatic storm clouds", "misty morning", "blue hour city lights"). |
aspect_ratio |
text |
no |
16:9 |
Output aspect ratio. |
reference_image |
image_url |
no |
— |
Optional aerial/location reference image. |
Steps
Phase A — Generate Drone Footage
Submit the plan with ONE step:
- 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.
---
name: muapi-drone-style-video
description: Generate aerial drone-perspective footage with sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.
---
# Drone-Style Video
**Generate aerial drone-perspective footage — sweeping bird's-eye views, orbit shots, and flyover sequences for landscapes, architecture, and events.**
## Inputs
| Name | Type | Required | Default | Description |
|:---|:---|:---|:---|:---|
| `location_or_subject` | text | yes | — | What to shoot from above (e.g. "mountain valley at sunrise", "luxury villa by the ocean", "crowded city intersection"). |
| `shot_type` | text | no | reveal | Camera movement style — 'reveal' (ascend & reveal), 'orbit' (circle subject), 'flyover' (pass over), 'top-down' (bird's eye static). |
| `style` | text | no | golden hour, cinematic, 4K, ultra-detailed | Visual atmosphere (e.g. "dramatic storm clouds", "misty morning", "blue hour city lights"). |
| `aspect_ratio` | text | no | 16:9 | Output aspect ratio. |
| `reference_image` | image_url | no | — | Optional aerial/location reference image. |
## 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.
