Showcases

wan3.0-video-prime Text-to-Video Parameter Diagram

Using a 1080P, 16:9, 8-second text-to-video sample, this demonstrates the available input forms of the author's route for wan3.0-video-prime. In the schema, only prompt is required; duration, resolution, aspect_ratio, audio, and seed are all adjustable and come with default values, while first frame/last frame, reference images, reference audio, and reference documents/web pages are optional additional control methods. This work uses only pure text-driven input and binds no reference materials, making it easy for developers to compare and understand the relationship between parameters and the actual footage. The visual content chooses a scene with high demands on structure, camera movement, and lighting layering, to reflect the model's motion coherence and resolution-tier performance under text descriptions. It is suitable as a preview of results before integration, and also suitable for evaluating prompt-writing for the text-to-video stage in SaaS content production or API workflows.

Style Text-to-Video · Cinematic · API Workflow

Model wan3.0-video-prime

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Prompt

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A cinematic text-to-video shot, 16:9 widescreen, 8 seconds. At blue hour, a solitary figure in a dark techwear coat slowly walks across a rain-soaked elevated walkway, with a city skyline of glass towers in the background, shallow depth of field. The camera slowly pushes in from a low-angle three-quarter view, then gently performs a parallax rise to reveal the skyline. The wet asphalt road surface and glass curtain walls have mirror reflections; cool cyan and deep navy tones, with a warm amber light source glowing from a doorway on the right. Rain streaks fall at natural speed, fabric and hair move with the wind, and subtle handheld micro-movements keep the frame alive. Volumetric fog, soft rim light on the subject, high dynamic range, controlled motion blur, film grain, natural urban ambience, with rain texture and distant traffic sounds.

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