Wan 3.0 Prompt Tips for Higher-Quality AI Video
Blog post from Venice
Wan 3.0 on Venice Studio is presented as a video-generation model that responds best to specific, production-style prompts rather than vague cinematic descriptions. Effective prompts identify attached assets by their ordered labels, such as Image 1, Video 1, and Audio 1, define subject actions, use one clear camera movement, and place dialogue in quotation marks with any needed delivery cues. Users are advised to select a generation mode, duration from 3 to 30 seconds, resolution, and aspect ratio before rendering, keep prompts below Venice’s 5,000-character limit, and use negative prompts for exclusions. For document- or webpage-to-video tasks, the source should be accompanied by a brief specifying audience, tone, desired length, material to retain or omit, and required on-screen text. The guidance recommends iterating on one variable at a time, avoiding overloaded camera instructions or excessive asset labels, and choosing alternative Venice models when shorter drafts, extensive references, multishot work, or 4K HDR are more important. Venice states that it does not train on user inputs and removes identifying metadata during third-party routing, although generation providers still receive the necessary content.
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