23. Drone Removal Safari Cleanup

Seedance 2.5Text to videocommunity reportedEN

23. Drone Removal Safari Cleanup is a source-linked Seedance 2.5 text to video example. It focuses on remove the drone and the lower-left foreground rail/vehicle edge from video_1_1 and naturally… The source description frames it as adapted from a public seedance 2.5 example on kinovi.ai. kinovi public example with a hosted result clip and a prompt-focused workflow brief.. Use this card to study the subject, setting, camera, pacing, and reference requirements before adapting the original prompt. The production notes are editorial guidance for planning and customization, not an independent benchmark or a guarantee of output quality.

Editorial production notes: planning guidance derived from the source record, not an independent benchmark or output guarantee.

Production brief

Plan the shot before you adapt the words

Find a Seedance text to video prompt for 23. drone removal safari cleanup.

subject

The subject is the 23. drone removal safari cleanup described by the source brief.

setting

Define a clear foreground, background, and depth cue for the source setting.

action

Remove the drone and the lower-left foreground rail/vehicle edge from video_1_1 and naturally inpaint the removed area. Keep the giraffe herd, tree branches, distant grassland…

camera

Use the camera movement and framing cues stated in the source prompt.

lighting

Match the source mood with one dominant light direction, controlled contrast, and a consistent palette.

motion

Prioritize readable body mechanics, contact points, and a clean reaction after each major movement.

pacing

Build from an establishing moment to one focal beat and a deliberate ending.

audio

No specific audio direction is recorded; decide whether silence, ambience, dialogue, or music best serves the scene.

style

Source-led visual treatment with consistent texture, color, and subject detail.

duration

Duration is not stated; choose a short format that preserves the complete action.

aspect Ratio

Aspect ratio is not stated; choose the delivery format before composing the frame.

resolution

Resolution is not stated; select a stable output for the intended delivery channel.

Scene and shot structure

Opening frame
Establish the subject is the 23. drone removal safari cleanup described by the source brief. in define a clear foreground, background, and depth cue for the source setting..
Primary action
Remove the drone and the lower-left foreground rail/vehicle edge from video_1_1 and naturally inpaint the removed area. Keep the giraffe herd, tree branches, distant grassland…
Closing beat
End on a readable result that preserves the commercial intent and leaves room for a clean cut.

Customization ideas

Replace the subject details with a clearly defined version of 23. drone removal safari cleanup.
Specify delivery format, duration, and aspect ratio before refining camera movement.
Adapt lighting and palette to the intended audience or campaign mood.
Add a reference only when it improves identity, layout, or style continuity.

Constraints and cautions

Add only references needed to preserve subject and setting; the source does not list required assets.
The original prompt may be sparse or source-specific; validate every adaptation in the target workflow.
Do not treat the community result as an independently tested benchmark or a promise of repeatable output.

Original prompt

Remove the drone and the lower-left foreground rail/vehicle edge from <<<video_1_1>>> and naturally inpaint the removed area. Keep the giraffe herd, tree branches, distant grassland, golden sunset backlight, atmospheric perspective, and camera composition completely unchanged. The completed background should match the surrounding environment, generating natural sky, gaps between branches, and grassland details. Avoid smearing, flicker, deformation, ghosting, or jumping. Ensure temporal consistency across frames, continuous motion, natural edges, and an overall look like original live-action footage.

Author

Kinovi ↗

Published

June 24, 2026

Source

View on Source ↗

Related Prompts