Use case playbook

TikTok Image To Video Prompt

Build a vertical prompt with an instant hook, centered subject, readable motion, and a clean final frame.

Try it here

Mini prompt studio

Change the image summary or motion and copy a focused prompt.

Prompt

Create a Kling-ready image-to-video prompt from the reference image. Subject anchor: a creator holding a new backpack in a bedroom mirror selfie setup. Motion: the creator lifts the backpack slightly toward camera as the room light brightens. Camera: handheld movement with a clear beginning, middle, and ending. Visual style: bright social video lighting, energetic pacing, mobile-first composition. Constraints: use the provided image as the first frame; keep the subject centered and readable inside a vertical frame; do not invent new major objects; keep the background layout consistent unless motion is requested; compose for 9:16 and 5s. Model rewrite: Prioritize the subject motion, camera path, and what must stay locked.

tiktok image to video prompt

Workflow

Vertical social prompts need movement in the first second.
The subject should stay centered with enough safe space for captions outside the model output.
Avoid asking for multiple edits inside one generated clip.

Backpack hook

Before and after prompt

Before

Animate this for TikTok.

After

Use the selfie image as the first frame. Preserve the creator identity, backpack color, mirror angle, bedroom layout, and outfit. Create a 5s 9:16 handheld social clip where the creator lifts the backpack toward camera in the first second, then settles into a clear final pose. Negative prompt: face drift, warped hands, changing backpack, background warping, jitter.

Why it works

The hook happens immediately.
The vertical frame is explicit.
It protects identity and hands.

FAQ

Common questions

Can I use the prompt in Seedance, Veo, Kling, or Runway?

Yes. Pick the target model in the generator and it rewrites the same image idea with model-specific emphasis.

Does the tool analyze uploaded images?

The first version works from your written image description, image URL, and motion notes. The upload is for preview while you write.

Why include a negative prompt?

Image-to-video outputs often fail through identity drift, warped text, unstable backgrounds, or jitter. The negative prompt names those failure modes directly.