Does Wan 3.0 Support Text-to-Video?

Overview

Yes. Wan 3.0 supports text-to-video on WaveSpeedAI through a dedicated text-to-video route. Use it when the video can be created from a written prompt without needing a source image, product photo, character reference, or first/last-frame control.

For text-to-video, the prompt must do the work of a shot brief. Define subject, environment, action, camera, lighting, mood, duration, aspect ratio, and any audio expectation. Vague prompts create more variation, which can be useful for ideation but weaker for repeatable production.

If the scene depends on a specific product, person, or composition, do not force text-to-video to invent it. Start from image-to-video or reference-to-video so the model has a visual anchor. This reduces review waste when the output must match an approved asset.

WaveSpeedAI makes text-to-video useful for app teams because the route fits the same async prediction flow as the other Wan 3.0 variants. Start with prompt-only tests, then add reference workflows only when the acceptance criteria require tighter control. Keep the prompt-only baseline so later reference tests have something fair to beat.

Source: Alibaba Cloud Wan3.0 API reference; WaveSpeedAI Wan 3.0 API collection. Source check: 2026-08-29.