The first AI video draft often reveals a problem that was difficult to anticipate from the prompt. The camera moves too quickly, the subject shifts position, or the scene ends before the action feels complete.
When working with Wan 3.0 on Wave AI, a useful approach is to treat each generation as a version with a specific purpose. Instead of changing the subject, lighting, movement, and duration at the same time, change one major instruction and keep a short record of the result.
That makes it easier to understand what improved—and what still needs work.
Disclosure: I’m involved in promoting Wave AI. The example below is a proposed workflow, not a report of an actual product test.
Start with one simple shot
Imagine a creator preparing a short background clip for a website. The scene contains a notebook on a desk near a window. The desired result is a quiet shot with a slow camera movement and enough open space for a headline.
The first prompt might be:
A dark blue notebook rests on a wooden desk near a window. Soft morning light falls across the table. The camera slowly moves closer. Keep the notebook stationary and leave clear space on the left side of the frame.
This prompt separates the main elements:
Subject: a dark blue notebook.
Setting: a wooden desk near a window.
Lighting: soft morning light.
Movement: a slow camera push.
Constraint: the notebook stays still.
Composition: open space on the left.
A prompt can express those intentions, but the generated result may not follow every instruction. Review the whole clip before deciding what to change.
Change one variable at a time
Suppose the first result has a useful composition, but the camera moves too close to the notebook. A focused revision would change the movement instruction:
The camera moves slightly closer while keeping the entire notebook visible.
Keep the subject, setting, lighting, and other settings as consistent as possible when comparing versions. If several details change at once, it becomes harder to tell which change caused a better or worse result.
This is not a controlled model benchmark: AI generation can vary between attempts. It is a practical way to make creative revisions easier to follow.
Record the versions
A small table is enough for an initial comparison:
Version | Prompt change | What to review | Decision |
|---|---|---|---|
V1 | Initial prompt | Framing and camera movement | Pending |
V2 | Reduce camera movement | Whether the notebook stays fully visible | Pending |
V3 | Adjust empty space | Whether the headline area stays clear | Pending |
Save the prompt, selected settings, and any reference filenames beside each export. If another editor joins the project, they can see why a version exists and what still needs checking.
Review the clip in its intended placement
A video that looks good in a preview window may behave differently inside a website banner. Place the draft in the actual layout and check it on desktop and mobile.
Pay attention to the edges of the frame. A wide clip may be cropped on a narrow screen, removing the subject or the space reserved for text. If one composition does not work for both placements, a separate version may be more useful than forcing the same crop everywhere.
Also check the opening and closing frames. If the video is meant to loop, an abrupt change in position or lighting may be noticeable when playback restarts.
Check the details before publishing
Wave AI’s product page lists text-to-video, image-to-video, and reference-to-video modes, with resolution options up to 1080p and duration settings up to 30 seconds. Available settings, credit costs, and usage terms should be confirmed in the product.
For product footage, compare the generated object with the source material throughout the clip. Shapes, colors, labels, and other recognizable details may change. Add exact text, prices, and product specifications separately during editing, then verify them against the original source.
Use only images, video, and audio that you have permission to upload. Keep sensitive personal information out of prompts and references.
A better handoff for the next edit
The benefit of version tracking is not simply having more files. It is knowing what each file was created to test.
A clear prompt, a reference, and a short review note give the next person enough context to choose an export, request a correction, or decide that a new shot is needed. That turns a collection of AI-generated clips into a workflow a team can actually use.
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