Seedance 2 image to video workflow

Choose a source with a readable subject, stable geometry, and the correct orientation for the final channel. Leave space in the direction the subject or camera will travel. A tightly cropped object cannot reveal its surroundings during a large pullback without inventing substantial new content, and a subject touching the frame edge has little room to move outward.

Remove unrelated interface elements and check small text or logos before upload. If they must remain exact, state the requirement and plan a frame-by-frame review. AI video can alter tiny details over time even when the opening frame is correct, so the source is an anchor rather than a guarantee for every later frame.

Start by naming what remains stable, then describe one primary subject action and one camera move. Include pace and an ending condition: the object rotates slowly and settles facing camera while the camera makes a gentle push. This gives Seedance 2 a temporal path that can fit within the selected duration.

Add environmental motion after the main movement is clear. Cloth, reflections, particles, foliage, and background figures can make a clip feel alive, but too many independent motions make continuity harder to preserve. Use a first generation to prove the subject and camera behavior, then add secondary motion if needed.

Match the aspect ratio to the prepared image and delivery channel. Choose a duration that allows the requested action to complete without adding an unrelated second scene. Review the current resolution and optional audio or last-frame controls on the model page, then request the protected quote after the input and parameter choices are final.

If native audio is enabled, describe a sound source that belongs in the visible shot and indicate its timing. Generic music requests can compete with the visual brief and may not suit later editing. A returned final frame can be useful for continuity, but only enable it when the downstream workflow needs that still asset.

Compare identity, silhouette, color, camera position, and protected details from the opening through the full clip. Watch for sudden shape changes during occlusion or camera turns, unstable text, new objects at the edges, or shadows that move independently of the scene. Note the timestamp where drift begins.

Use the Library copy after CreateForge has reconciled and stored the result. If the source composition constrained the motion, revise the source rather than adding increasingly complex prompt language. If the frame is sound but one movement fails, simplify that instruction while preserving the rest of the successful setup.

A strong still image is not automatically a strong animation source. Leave physical room in the frame for the subject and camera path, avoid cropped limbs or props that must appear later, and make depth layers understandable. Check that the background has enough visual information to support parallax without forcing the model to invent an entire space. If identity or product geometry is critical, use a clean source with readable edges rather than a heavily compressed preview.

Describe the initial state, one movement, the camera response, and the intended endpoint. Then review whether the clip remains faithful during motion, not only at the first frame. Watch edges, occlusions, contact with the ground, reflections, and any part of the subject that rotates into view. When the result fails, decide whether the source lacked information or the motion request contained too many events before changing resolution or adding more references.

When several clips share the same still-image source, define a continuity note for subject scale, screen direction, camera height, light, and background depth. Use that note in every shot, while changing only the action and camera move. This prevents individual prompts from interpreting the same source as unrelated scenes.

Assemble a rough sequence before approving every clip in isolation. A candidate can look strong alone but create a jump in motion, color, or scale beside the neighboring shot. Sequence review reveals whether the next revision belongs in generation, trimming, transition design, or sound rather than treating every mismatch as a model failure.