Use case playbook

Product Image To Video Prompt

Protect the product shape, label, material, and framing while adding one ad-ready movement.

Try it here

Mini prompt studio

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

Prompt

Create a Runway-ready image-to-video prompt from the reference image. Subject anchor: a skincare serum bottle on a stone tray with leaves and soft bathroom light. Motion: the camera makes a slow macro push as liquid highlights shimmer on the glass. Camera: macro movement with a clear beginning, middle, and ending. Visual style: premium studio lighting, crisp detail, clean background. Constraints: use the provided image as the first frame; preserve package shape, label placement, color, and material finish; do not invent new major objects; keep the background layout consistent unless motion is requested; compose for 9:16 and 8s. Model rewrite: Use concise visual direction, stable framing, and a practical negative prompt.

product image to video prompt

Workflow

Product prompts should name packaging geometry, label placement, surface material, and background props.
Motion should show texture or benefit without bending the product.
Negative prompts should include logo distortion, text artifacts, object melting, and low detail.

Serum ecommerce shot

Before and after prompt

Before

Make my skincare product video-ready.

After

Use the serum image as the first frame. Preserve the bottle silhouette, cap, label placement, stone tray, leaves, and bathroom light. Create an 8s 9:16 macro product ad where the camera pushes in slowly and highlights shimmer across the glass. Keep the label crisp and the bottle shape unchanged. Negative prompt: logo distortion, fake text, melted bottle, warped cap, camera jitter.

Why it works

Packaging is described as geometry.
Motion comes from light and camera, not object morphing.
The label receives explicit protection.

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.