A brand can generate a promising wide video for its website and still face a production problem: the same shot may not work on a phone. The subject can disappear during cropping, a headline may cover the action, or a slow camera move may feel too tight in a vertical frame.
Platforms offering Wan 3.0, including the independent Wave AI website, give teams another way to develop video concepts from text and reference materials. But a useful multi-platform workflow requires more than one attractive output. Teams need to decide which parts of a scene must remain visible, how each version will be reviewed, and when a separate composition is necessary.
Disclosure: The author is involved in promoting Wave AI. This article is a brand perspective, not an independent product review.
Better Generation Does Not Remove the Framing Problem
AI video has made substantial technical progress. Stanford’s 2025 AI Index Report documented improvements in high-quality video generation. The report describes a broader technology trend; it does not evaluate Wan 3.0 on Wave AI.
For a production team, the challenge begins when a clip meets a specific layout.
Consider a hypothetical stationery campaign. A wide website banner shows a notebook on the right, leaving the left side open for a headline. The composition serves the webpage, but it creates a problem for a vertical social post: a center crop could remove most of the notebook.
This is a geometry problem before it is a model-quality problem. If a 16:9 frame is center-cropped to 9:16 while keeping its full height, the resulting vertical frame retains only about 32% of the original width. A subject positioned near either edge may disappear.
Web layouts can introduce additional cropping. As MDN’s documentation on object-fit explains, media set to fill a container can be clipped when its proportions differ from the container. The visible area depends on the layout and positioning.
A video may therefore need review in several real contexts, even when the same file is reused.
What Wan 3.0 Offers
Wave AI describes its Wan 3.0 offering as supporting text, image and reference-based video workflows, with output up to 30 seconds and 1080p. These are platform statements, not results from an independent test. Users should confirm the available settings, limits and pricing in the product.
For a multi-screen project, a team might begin with a reference image it has permission to use, then describe the subject, setting and intended camera movement. A wide draft can help establish a visual direction for a homepage; a separately planned vertical draft can explore how the same idea might work on a phone.
A reference can guide the visual direction, but it does not guarantee an exact match between outputs. If the notebook is an actual product, the team should compare its color, proportions, cover and recognizable details across the full clip.
The hypothetical example illustrates a workflow. It is not a test of Wan 3.0’s consistency or cropping performance.
Decide What Must Survive the Crop
The first useful production decision is identifying the elements the audience must see. In the stationery campaign, those may include the notebook, its cover and enough surrounding space for text.
The team can then compare two options:
- Reuse one clip: Generate or select a composition that keeps essential elements within the visible area of both layouts, then crop and review it in each placement.
- Plan separate clips: Develop wide and vertical compositions independently, then review them for visual continuity before editing.
The first option can reduce the number of assets to manage, but it may restrict the composition. The second gives the team more control over framing, but may introduce additional generation and review work.
Neither approach guarantees consistency. The choice depends on the brief and on whether the output meets the team’s approval standard.
The Work Moves to Review and Handoff
Generating alternatives can make a visual discussion more concrete. It also creates a coordination problem: a reviewer needs to know which prompt, reference and settings produced each version.
A lightweight shot record can connect:
- The intended placement and aspect ratio.
- The prompt and reference filenames.
- The selected export and version number.
- Review notes for subject accuracy, framing and movement.
- The approval status and the person responsible for the next edit.
For the hypothetical campaign, a note such as “wide version works behind the headline; notebook is cropped on mobile” gives the next editor a specific decision. It is more actionable than marking the clip simply as “good” or “bad.”
This record also makes cost easier to assess. A team should count the time spent preparing inputs, reviewing unsuccessful attempts and correcting the chosen output—not only the time required to generate the first clip.
Check Each Version in Its Destination
A clip should be reviewed inside the layout where it will appear. On a website, that means checking the actual banner container, headline and mobile crop. For a social post, it means checking the subject and captions against the intended format.
Exact prices, product specifications and promotional wording should be verified and added during the final edit. Teams should use source images, video and audio only with appropriate permission, and keep sensitive personal information out of prompts and uploads.
For news and public-interest content, a synthetic scene should not be presented as footage of a real event. Editorial policies differ, and some organizations prohibit publishing AI-generated imagery even when it is labeled.
The Deliverable Is a Set of Decisions
AI video can help a creative team explore a campaign before a final shoot or edit. Its contribution to multi-screen production depends on whether the output can meet each placement’s requirements without losing the subject, confusing the message or creating excessive review work.
Wan 3.0 AI Video Generator and similar tools provide another way to develop those drafts. The production decision remains with the team: reuse a clip, create a separate composition, or choose another asset altogether. The useful measure is whether the finished versions communicate accurately on the screens where the audience will encounter them.
