Wan icon
Wan icon

Wan

Advanced video model with state-of-the-art performance, generating 480/720p video on consumer GPUs, supports tasks including Text-to-Video, Image conversion, editing, and unique bilingual text generation using powerful VAEs.

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  • Self-Hosted
  • Python
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  • GoCrazyAI icon
    Timur-Kurbanov added Wan as alternative to GoCrazyAI
  • Fitty icon
    laurilaurits added Wan as alternative to Fitty
  • SceneStar icon
    Tessa-7729 added Wan as alternative to SceneStar
  • Treza icon
    alexdaro added Wan as alternative to Treza
  • EasyVeo icon
    Ray-luan added Wan as alternative to EasyVeo
  • Whiteboard Video Maker icon
    adam added Wan as alternative to Whiteboard Video Maker
  • VidGuy icon
    Yasvidguy added Wan as alternative to VidGuy
  • BudgetPixel AI icon
    cheinia added Wan as alternative to BudgetPixel AI
  • Clip Architect icon
    v1p3r99 added Wan as alternative to Clip Architect
  • ViralMint icon
    Xinru Tang added Wan as alternative to ViralMint

Wan information

AlternativeTo Categories

AI Tools & Services, Photos & Graphics

GitHub repository

  •  17,703 Stars
  •  2,281 Forks
  •  312 Open Issues
  •   Updated  
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Our users have written 1 comments and reviews about Wan, and it has gotten 23 likes

Wan was added to AlternativeTo by Paul on and this page was last updated . Wan is sometimes referred to as Wan AI. 

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What is Wan?

Wan: Open and advanced large-scale video generative models.

In this repository, we present Wan2.1, a comprehensive and open suite of video foundation models that pushes the boundaries of video generation. Wan2.1 offers these key features:

  • SOTA Performance: Wan2.1 consistently outperforms existing open-source models and state-of-the-art commercial solutions across multiple benchmarks.
  • Supports Consumer-grade GPUs: The T2V-1.3B model requires only 8.19 GB VRAM, making it compatible with almost all consumer-grade GPUs. It can generate a 5-second 480P video on an RTX 4090 in about 4 minutes (without optimization techniques like quantization). Its performance is even comparable to some closed-source models.
  • Multiple Tasks: Wan2.1 excels in Text-to-Video, Image-to-Video, Video Editing, Text-to-Image, and Video-to-Audio, advancing the field of video generation.
  • Visual Text Generation: Wan2.1 is the first video model capable of generating both Chinese and English text, featuring robust text generation that enhances its practical applications.
  • Powerful Video VAE: Wan-VAE delivers exceptional efficiency and performance, encoding and decoding 1080P videos of any length while preserving temporal information, making it an ideal foundation for video and image generation.