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WanX 2.1

October 22, 2025 27 sansui
WanX 2.1

Site Name: WanX 2.1

Category: Text-To-Video

Related Tags: # Text-to-video # Text # Video

Website Link:https://wanx-ai.org

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Website Description

Overview

AI-powered text-to-video generator producing 5s 720p MP4s.

Wanx 2.1 AI Video Generator, an open-source text-to-video model with 13 billion parameters that generates short MP4 videos from natural-language prompts.

Produces 5-second videos at 1280x720 (720p) with support for vertical and landscape orientations and multiple resolution options.

Employs a 3D VAE architecture and an MLLM text encoder to improve motion consistency and text-to-video alignment.

Includes a prompt builder that offers suggestions, templates, and optimization tips for scene, action, and visual style instructions.

Handles native camera cuts and special effects to produce coherent camera movements and transitions.

Outputs downloadable MP4 files formatted for social media use (TikTok, Instagram Reels, YouTube Shorts) and permits commercial use subject to terms.

Open-source code and model weights are available on GitHub for developers and researchers to inspect, adapt, and contribute; professional evaluations report 68.

WanX 2.1 screenshot

Use Cases

  • Create eye-catching 5-second vertical social videos for TikTok and Instagram Reels using Wanx 2.1's text-to-video prompt builder, producing 720p MP4s with camera-aware synthesis and motion-consistent results without manual animation.
  • Create short 5-second product promos and ad variations in landscape 720p to rapidly A/B test headlines and visuals, leveraging Wanx 2.1's 3D VAE and MLLM for improved motion realism and text-to-video alignment.
  • Create quick cinematic intros, scene mockups, or storyboarded clips for content and video teams, exporting high-quality 720p MP4s from text prompts and benefiting from Wanx 2.1's camera-aware video synthesis and open-source flexibility.

Who Is It For

  • Ai researchers
  • Video content creators
  • Developers working on generative video models
  • Multimedia artists
  • Tech enthusiasts interested in text-to-video generation

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