Use case playbook

UGC Image To Video Prompt

Turn a creator image into a natural short clip while preserving face identity, clothing, room layout, and hand realism.

Try it here

Mini prompt studio

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

Prompt

Create a Seedance-ready image-to-video prompt from the reference image. Subject anchor: a creator sitting at a desk holding a compact camera beside a laptop. Motion: the creator nods naturally and raises the camera slightly while the laptop glow stays steady. Camera: static movement with a clear beginning, middle, and ending. Visual style: authentic handheld creator video, soft room light, natural expression. Constraints: use the provided image as the first frame; preserve face identity, hair, clothing, posture, and room layout; do not invent new major objects; keep the background layout consistent unless motion is requested; compose for 9:16 and 8s. Model rewrite: Use a subject/action/camera/style/constraints structure and keep motion readable.

ugc image to video prompt

Workflow

UGC prompts should stay close to natural gestures and small facial movement.
Name the face, clothing, product, and room details that must remain consistent.
Use a static or handheld camera note, but avoid aggressive camera moves around faces.

Camera testimonial

Before and after prompt

Before

Make this creator talk about the camera.

After

Use the image as the first frame. Preserve the creator face, hair, shirt, desk, laptop, and compact camera. Create an 8s 9:16 static UGC-style clip where the creator nods naturally and lifts the camera slightly toward the viewer. Keep mouth movement subtle, hands realistic, and room layout unchanged. Negative prompt: face drift, identity change, extra fingers, warped camera, jitter.

Why it works

The gesture is small and believable.
Identity and hand failures are named.
The camera stays stable for UGC.

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.