Image-to-video begins with a visual commitment. The source image already establishes the subject, composition, color, materials, lighting, and opening pose. The text prompt should spend most of its attention on what changes over time.
Choose an image that leaves room for motion
The best starting frame is not always the most dramatic still. It has a clear subject, readable edges, enough resolution, and a composition that can tolerate movement. If a person is tightly cropped at every joint or a product touches the frame edge, even small movement may force the model to invent missing information.
Check the source for contradictions before generation:
- Is the subject already leaning in a direction that conflicts with the planned action?
- Does motion blur imply speed while the prompt asks for complete stillness?
- Are hands, logos, text, or product edges already distorted?
- Is there visual room for the camera to move without exposing an unknown area?
- Do reflective or transparent materials need to remain exact?
Fix the source image first when the problem is visible before animation. Motion prompting cannot reliably repair a broken reference.
Describe the change, not the starting picture
An efficient image-to-video prompt can be much shorter than a text-to-video prompt because appearance is already encoded in the frame.
The camera [movement] as the subject [primary action]. [Secondary environmental motion]. The action unfolds [timing] and settles on [end state]. Keep background movement natural and subordinate to the subject.
For a product image, that could become: “The camera performs a slow half-arc as a narrow highlight moves across the bottle. Condensation gathers and one droplet travels down the front. The bottle remains fixed and undistorted. The shot settles on the engraved mark.”
Use chronological verbs. “She looks down, lifts the card, then turns it toward camera” is easier to stage than a paragraph of mood and backstory. If the model supports an end frame, use it only when that end state is purposeful and compatible with the opening image.
Plan a multi-shot video as related frames
One animated image is a clip. A coherent video needs multiple shots with related visual rules. Define a small system: palette, light direction, lens feeling, camera energy, wardrobe, environment, and recurring object details.
Move between shots in manageable steps. A close portrait can transition to a medium shot in the same setting more reliably than to a distant aerial view with a completely different costume and time of day. When a new composition is necessary, create or approve a new reference frame instead of asking one clip to transform into an unrelated scene.
For recurring people or characters, use the consistent character workflow. For product storytelling, pair approved frames with the AI product video workflow.
Review the moving details, not only the first frame
Scrub the complete clip at normal speed and frame by frame around transitions. Watch for:
- changes to face shape, hairline, clothing, logos, labels, and product proportions;
- fingers merging with objects or limbs crossing unnaturally;
- background people or objects appearing without narrative purpose;
- camera movement that fights the subject's direction;
- a final frame that cannot cut cleanly into the next shot;
- motion that extends beyond the selected aspect ratio's safe area.
Keep the source, prompt, result, and review note together. That record makes it easier to reproduce successful movement and diagnose what changed.
Frequently asked questions
What images work best for image-to-video?
Clear, high-quality images with a readable subject, stable geometry, and room for the intended action. The best source depends on the shot; a clean medium frame often gives motion more space than an extreme crop.
Should the prompt describe the image again?
Usually only where a visual trait must remain explicit. Use most of the prompt for motion, timing, camera, environmental response, and the desired end state.
Can image-to-video keep a character perfectly consistent?
No workflow can promise perfect identity across generated frames and scenes. Strong references, compatible shots, stable descriptions, and explicit continuity review improve the process.
Which Brevity models support image-to-video?
The current documented variants—Kling 3 Pro, Veo 3.1 Fast, and Seedance 1.5 Pro—all support image-to-video in Brevity. Their durations, aspect ratios, and controls differ.
This page reflects Brevity's image-led workflow and documented model registry on 12 August 2026. Generated footage requires eligible plan access and consumes credits.