Showcases

Wan3.0 Scene Storyboard: Example of Converting Text to Visuals

Centered on the theme of "scene storyboard concepts," this demonstrates Wan3.0's ability to start from a structured text description and convert camera movement, action, lighting, and sound together into a coherent video clip. The work provides two reference images: one defines the space and color tone of the opening shot, and the other constrains consistency of the subject and subsequent shots. The prompt references them in the order Image1 / Image2, allowing the model to maintain subject and style stability across the shot sequence. The output duration is set to 8 seconds, 1080P, and 16:9, representing a short-clip use case within the model's 30-second long-narrative capability, making it easy for developers to quickly verify whether the "text-to-visual" mapping is controllable. It is suitable for concept teasers, storyboard previsualization, marketing short-video drafts, and other scenarios where you need to first see the visual mood before deciding on details; if you want complete storytelling, you can extend duration to 30 seconds under the same prompt structure.

Style Storyboard · Narrative · reference-to-video

Model Wan 3.0 Video

Reference inputs

reference_image_urls
reference_image_urls

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Prompt

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A slow, cinematic tracking shot moving through a rain-soaked city alley at dusk, beginning with a wide establishing shot and gradually pushing in toward a solitary figure beneath flickering neon lights. The camera moves at eye level with a slight handheld sway, then tilts up slightly to reveal steam rising from vents and passing car lights in the background. The lighting shifts from a cool blue atmosphere to a spill of warm orange neon across the wet asphalt; a shallow depth of field keeps the reflections in the foreground puddles sharp while the background crowd blurs. Throughout the shot, the figure's silhouette, clothing colors, and the alley layout remain consistent with Image1 and Image2. The mood is quiet, restrained, and slightly melancholic, with a steady narrative pace, accompanied by soft ambient rain sounds and distant traffic.

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