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What to Measure When You Test a Text-to-Video Workflow

The most useful AI video experiment is not necessarily the most spectacular one. It is the one that teaches you which instructions produce a workable result. A credit-based web workspace such as wan 3.5 can be approached like a small test: define an input, change one variable, inspect the output, and record what happened.

Write down the subject, action, camera behavior, composition, and mood before generating. If an image is involved, use only material you are authorized to upload. Keep the first test narrow enough that a reviewer can say whether the subject appeared, whether the action was readable, and whether the atmosphere matched the brief.

Run a baseline, then vary one factor such as camera speed, background complexity, or distance. The interface presently exposes an option labeled Wan 3.0 with text-only, 16:9, and 480p choices. The product branding is Wan 3.5. Treat wan 3.5 as the site name. Do not claim an official lab model release.

Before each run, note the displayed credit cost. Listed monthly plans: Starter $14.99 for 350 credits, Pro $39.99 for 1,600, Premium $119 for 5,500. Credit use varies with settings. Credit packs are described as lasting 365 days.

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