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LatestQwen · Alibaba2.2
Qwen · AlibabaText → Video

Qwen Releases Wan 2.2, a 5B Open Video AI Model

The new Apache 2.0 licensed model from Alibaba's team can generate video from both text and image prompts, adding a powerful new tool to the open-source creative ecosystem.

Jul 18, 2025
Major releaseApache 2.0
Wan2.2-TI2V-5B

Alibaba's Qwen team has released Wan2.2-TI2V-5B, a new open-source model for video generation. With 5 billion parameters, the model is a significant contribution to the rapidly evolving field of open AI video, and is available under the permissive Apache 2.0 license.

The model is notable for its unified architecture, which allows it to generate video from either a text prompt or a combination of a static image and a text prompt. This dual capability provides a flexible starting point for creative workflows, enabling users to animate existing images or generate entirely new scenes from scratch.

Why It Matters

While proprietary models like OpenAI's Sora have demonstrated remarkable capabilities, the open-source community is actively building alternatives. The release of a competent video model from a major lab like Alibaba gives researchers and developers a powerful new tool to build upon. The Apache 2.0 license is particularly important, as it permits commercial use and modification, encouraging broader adoption and innovation.

Developers can access the model and its weights directly from the official Hugging Face repository. The release provides another foundational block for building open, transparent, and accessible generative video applications.

Sources

  • Wan-AI/Wan2.2-TI2V-5B

    Hugging Face

    Visit
OlderHiDream.ai Releases 17B Open Image Editing ModelHiDream.ai · Image Editing · last yearNewerZ.ai Releases 355B Parameter GLM-4.5 Under MIT LicenseZhipu AI · Text / LLM · last year

Get the model

Hugging Face

Specs

Parameters5B
Resolution1280×704
Frame rate24 fps
Architectureti2v
LicenseAPACHE-2.0
Downloads19.1K
Likes909

Can you run it?

Runs on a laptop — about 6 GB at FP8.

  • BF16 (as published)

    12 GB GPU (RTX 3060 / 4070) · 16 GB Mac

    11 GB
  • FP8

    8 GB GPU (RTX 4060) · 16 GB laptop or Mac

    6 GB
Your machine
  • Precision not published; assuming 16-bit (BF16) weights.
  • Parameter count is an editorial estimate — no weights metadata on Hugging Face.
  • Covers the published checkpoint; text encoders and VAE loaded alongside may add a few GB (many runtimes offload them to CPU).

Estimated from the parameter count. Assumes an 8K context and ~1 GB runtime overhead; actual needs vary. How we estimate


Modalities

Image → VideoText → Video
2 versions — view changelog

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