Seedance 2.0 Image-to-Video Prompt Guide: Lock the First Frame, Motion Path, and Continuity
Write Seedance 2.0 image-to-video prompts that define what stays fixed, what moves, and where the shot ends, with people, product, and frame templates.
A Seedance 2.0 image-to-video prompt should not spend most of its words redescribing the reference image. Its job is to explain what happens next. The three priorities are the visual facts that must remain unchanged, the objects that are allowed to move, and the composition where the shot must finish.
Seedance 2.0's official overview confirms support for image, audio, and video references and emphasizes control over performance, lighting, shadows, and camera movement. First-frame, last-frame, multiple-reference, and audio capabilities vary by model variant and platform entry point, so follow the controls currently shown in your workspace.
Check whether the reference image can be animated cleanly
A useful first frame normally has:
- a complete subject silhouette without unintentionally cropped hands, feet, or product edges;
- clean separation between the subject and background, without complex objects crossing the body;
- a clear light direction with shadows and perspective that can continue;
- a composition close to the final aspect ratio, without relying on large outpainting;
- accurate brand text, package construction, and character identity.
If the first frame contains errors, the video is likely to carry them into motion. Correct the image before animation instead of asking the video model to fix it incidentally.
Use a four-layer image-to-video structure
1. Preserve: identity, product construction, clothing, background, and light
2. Subject action: starting state, action sequence, and limits
3. Camera action: locked, tracking, push-in, or orbit—one primary path
4. Ending state: position, pose, composition, and audio endpoint
Example for a person:
Use the reference image as the exact first frame.
Keep the same face, hairstyle, red jacket, body proportions, and studio background.
She looks toward camera, raises the bottle to shoulder level,
takes one step forward, then turns 30 degrees and holds a confident final pose.
The camera makes a slow, stable push-in; no orbit and no sudden zoom.
Hair and loose fabric move naturally, hands remain anatomically consistent.
End with her upper body centered and the bottle fully visible.
If one mention of "same face" is not enough, establish identity at the beginning and confirm the same face, clothing, and accessories again in the ending state.
Do not make the subject and camera fight for direction
A person walking right, the camera orbiting left, and the background rotating at the same time can destroy spatial coherence. Decide which element carries the visual change:
- use a locked camera or gentle follow when the subject action is complex;
- use a small orbit or push-in when the product remains still;
- avoid a fast whip pan during a large body turn;
- assign only one visible transformation to each beat of an outfit-change sequence.
The Gallery example Fashion Cola Transition Ad uses a person reference and divides a 15-second sequence into opening the bottle, drinking, changing the background, and timed outfit changes. The lesson is not that every prompt should be long. It is that identity, a red-black-white palette, beat timing, and audio cues are described as separate responsibilities.
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For the first test, reduce this type of brief to one 4–8 second action. Add a second transformation or transition only after identity and motion are stable.
Lock product construction in image-to-video prompts
Avoid instructions such as "make the product look more premium," which can change its form. Use verifiable constraints:
Use the uploaded product image as the exact first frame.
Preserve the bottle silhouette, cap shape, label position, glass color, and liquid level.
Only the camera moves: a slow 20-degree clockwise orbit with a subtle push-in.
Soft highlight travels naturally across the glass as the viewpoint changes.
Background particles drift slowly; the product itself does not rotate or deform.
End on a front three-quarter view with the full label area unobstructed.
No new text, no extra cap, no duplicated product, no melting edges.
For advertising that requires exact packaging copy, separate the clean product plate from final typography. Let AI video create lighting and camera movement, then apply the correct logo, price, and legal text in editing or design software.
How to write first-and-last-frame prompts
When a final frame is supplied, do not describe a different endpoint that conflicts with the images. Explain only how to travel from A to B:
Begin exactly from the first frame and arrive naturally at the final frame.
The subject walks three steps toward the window while the camera tracks at the same speed.
Lighting gradually changes from cool blue to warm sunrise.
No cuts, no new objects, no identity or clothing change.
The larger the difference between the first and last frames, the more motion the model must invent. Keep the subject, setting, camera direction, and aspect ratio compatible. Do not force two unrelated places or characters into a supposed continuous shot.
Common failures and fixes
| Failure | First fix |
|---|---|
| Face changes | reduce large head turns and repeat identity constraints |
| Hands deform | simplify the grip and keep the key object visible |
| Product melts | lock silhouette, label, and material; move only the camera |
| Background drifts | specify a fixed set, stable horizon, and light direction |
| Ending becomes chaotic | define final pose, shot size, and frame position |
Verify the reference facts before adding motion, camera, and audio. For a more complex camera route, use the Seedance 2.0 text-to-video prompt guide to check the start, path, and landing point.
Seedance 2.0 image-to-video FAQ
Should I describe the reference image in the prompt?
You do not need to repeat everything visible, but you should identify the identity, construction, colors, and materials that must remain stable. Most of the prompt should explain how the shot moves and where it ends.
Can one image produce a large turn or a rear view?
You can try, but the model must infer unseen parts of the face, clothing, or product. Consistency risk rises with the angle. For important commercial work, provide other views when supported or keep the turn small.
Is image-to-video always more stable than text-to-video?
It often anchors the opening composition more effectively, but the reference can also restrict motion. A cropped subject, distorted pose, or cluttered background may still create unstable results.
Generate a Seedance 2.0 image-to-video prompt
Before uploading, make three lists—preserve, move, and end—then turn them into one instruction without conflicting directions: Open Genvizu AI Video Prompt Generator
