Example gallery

Image To Video Prompt Examples

Use these original examples to see how weak prompts become structured, model-ready image-to-video briefs.

Try it here

Mini prompt studio

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

Prompt

Create a Veo-style image-to-video prompt from the reference image. Subject anchor: a bowl of ramen on a restaurant counter with steam and neon reflections. Motion: steam rises as chopsticks lift noodles slowly from the bowl. Camera: macro movement with a clear beginning, middle, and ending. Visual style: macro food photography, appetizing texture, warm practical light. Constraints: use the provided image as the first frame; preserve ingredient shape, plating, texture, and color; do not invent new major objects; keep the background layout consistent unless motion is requested; compose for 9:16 and 8s. Model rewrite: Use natural cinematic language with a clear shot arc and continuity cues.

image to video prompt examples

What matters

Good examples preserve the reference image before asking for motion.
Before prompts are usually too vague; after prompts add subject locks, camera path, and artifact control.
The same image can produce different variants for product, social, cinematic, or UGC use.

Ramen table shot

Before and after prompt

Before

Make the ramen look delicious and moving.

After

Use the ramen photo as the first frame. Preserve the bowl shape, broth color, toppings, counter edge, and neon reflections. Create an 8s 9:16 macro food shot where steam rises and chopsticks lift noodles slowly from the bowl. Keep noodles realistic and the bowl stable. Negative prompt: melting noodles, warped bowl, fake text, background warping, camera jitter.

Why it works

It keeps food texture realistic.
The motion is appetizing but controlled.
It protects both object shape and background.

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.