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text-to-video

text-to-video

Alibaba WAN 2.1 T2V Plus 720P

alibaba/wan-2.1/t2v-plus-720p

Alibaba WAN 2.1 T2V Plus (720p) turns text prompts into high-quality 720p videos and supports unlimited AI video generation. Ready-to-use REST inference API, best performance, no coldstarts, affordable pricing.

If set to true, the prompt optimizer will be enabled.

Idle

Your request will cost $0.7 per run.

For $10 you can run this model approximately 14 times.

One more thing::

ExamplesView all

README

Alibaba WAN 2.1 — Text-to-Video Plus Model (720p)

Alibaba WAN 2.1 T2V Plus is an advanced text-to-video generation model powered by Alibaba Cloud’s Mixture of Experts (MoE) architecture. It creates cinematic 5-second 720p videos with natural motion, balanced lighting, and smooth transitions — optimized for speed, stability, and storytelling flexibility.

Why it looks great

  • Cinematic control: captures lighting, color tone, and depth for professional-grade visuals.
  • Smooth temporal motion: ensures coherent motion flow between subjects and background.
  • Prompt accuracy: delivers faithful interpretation of detailed text descriptions.
  • Optimized 720p efficiency: achieves excellent quality at faster inference and lower cost.
  • Stable rendering: minimizes flicker, distortion, or structure shifts during animation.

Pricing

DurationResolutionCost per job
5 s720p$0.70

How to Use

  1. Write Prompt – describe the desired scene, environment, and camera movement.
  2. Choose Size – select landscape (1280×720) or portrait (720×1280).
  3. (Optional) Add a Negative Prompt to exclude unwanted elements.
  4. (Optional) Set Seed for reproducibility.
  5. Run – preview and download your generated 5-second clip.

Pro Tips

  • Include motion cues (e.g., “camera panning,” “soft breeze,” “car moving through city lights”).
  • Use portrait mode for short-form social content, landscape for cinematic or presentation use.
  • Keep prompts focused and clear for best visual alignment and stable motion.

Notes

  • Please verify that your prompt and parameters are set correctly before running.
  • If results appear inconsistent, try a new seed value or simplify your prompt.