Wan 2.2 Text to Video

Wan 2.2 Text to Video is the Wan 2.2 workflow for prompt-led video. It models visual appearance and time together so the route’s written direction, source imagery, speech, masks, or structural conditions influence one coherent result rather than a collection of disconnected frames or a generic endpoint response.

Choose this exact route when the available assets and deliverable specifically call for prompt-led video. Identify every subject and source, state the desired action or transformation, then describe camera behavior, pacing, environment, lighting, atmosphere, and preservation requirements; local schema fields handle resolution, duration, seed, and delivery separately from the creative brief.

Highlights

• 2.2 Written-scene filmmaking. Builds subjects, action, setting, and shot language from a text brief.
• 2.2 Temporal motion coherence. Maintains plausible movement and interaction across consecutive frames.
• 2.2 Cinematic camera interpretation. Responds to framing, lens behavior, camera movement, and pacing.
• Wan 2.2 full text-to-video path. Uses the primary 2.2 video model for prompt-led motion, interaction, and cinematic scene construction.

Pricing

When to Use

Prompt Guide

Describe the result as a shot or design brief: identify subjects and references, state the action or transformation, specify environment and composition, then add camera behavior, lighting, pacing, style, sound, and preservation constraints where relevant. Use exact reference identifiers exposed by the local schema.

{
  "prompt": "A cinematic scene with clearly directed subject action, camera movement, lighting, pacing, and atmosphere",
  "seed": 1,
  "resolution": "480p",
  "aspect_ratio": "21:9"
}

Technical Specs

Related Models

• alibaba/wan/2.2/text-to-video/lora — Compare this concrete local family route.
• alibaba/wan/2.2/text-to-video/turbo — Compare this concrete local family route.
• alibaba/wan/2.2/5b/fast/text-to-video — Compare this concrete local family route.