Wan 2.2 T2V A14B Diffusers Reduced To 2layers
π Wan | π₯οΈ GitHub | π€ Hugging Face | π€ ModelScope | π Technical Report | π Blog | π¬ WeChat Group | π Discord
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- Other
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- 484 MBβ3.49 GB
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- vRevision 0316937
- Updated
- Sep 27, 2026
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- 2
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- Hugging Face
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π Wan | π₯οΈ GitHub | π€ Hugging Face | π€ ModelScope | π Technical Report | π Blog | π¬ WeChat Group | π Discord
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safetensors Β· 2.67 GB Β· SHA-256 5e541a653557β¦538b Β· Hugging Face
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safetensors Β· 3.49 GB Β· SHA-256 6b2a2febb8b5β¦44b1 Β· Hugging Face
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2 excerpts--- license: apache-2.0 pipeline_tag: text-to-video --- # Wan2.2 <p align="center"> <img src="assets/logo.png" width="400"/> <p> <p align="center"> π <a href="https://wan.video"><b>Wan</b></a>    ο½    π₯οΈ <a href="https://github.com/Wan-Video/Wan2.2">GitHub</a>    |   π€ <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>   |   π€ <a href="https://modelscope.cn/organization/Wan-AI">ModelScope</a>   |    π <a href="https://arxiv.org/abs/2503.20314">Technical Report</a>    |    π <a href="https://wan.video/welcome?spm=a2ty_o02.30011076.0.0.6c9ee41eCcluqg">Blog</a>    |   π¬ <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB_!!6000000000015-0-tps-611-1279.jpg">WeChat Group</a>   |    π <a href="https://discord.gg/AKNgpMK4Yj">Discord</a>   <br> ----- [**Wan: Open and Advanced Large-Scale Video Generative Models**](https://arxiv.org/abs/2503.20314) <be> We are excited to introduce **Wan2.2**, a major upgrade to our foundational video models. With **Wan2.2**, we have focused on incorporating the following innovations: - π **Effective MoE Architecture**: Wan2.2 introduces a Mixture-of-Experts (MoE) architecture into video diffusion models. By separating the denoising process cross timesteps with specialized powerful expert models, this enlarges the overall model capacity while maintaining the same computational cost. - π **Cinematic-level Aesthetics**: Wan2.2 incorporates meticulously curated aesthetic data, complete with detailed labels for lighting, composition, contrast, color tone, and more. This allows for more precise and controllable cinematic style generation, facilitating the creation of videos with customizable aesthetic preferences. - π **Complex Motion Generation**: Compared to Wan2.1, Wan2.2 is trained on a significantly larger data, with +65.6% more images and +83.2% more videos. This expansion notably enhances the model's generalization across multiple dimensions such as motions, semantics, and aesthetics, achieving TOP performance among all open-sourced and closed-sourced models. - π **Efficient High-Definition Hybrid TI2V**: Wan2.2 open-sources a 5B model built with our advanced Wan2.2-VAE that achieves a compression ratio of **16Γ16Γ4**. This model supports both text-to-video and image-...
Source context: 2 downloads Β· 0 likes Β· Pipeline text-to-video Β· Library diffusers Β· Repo xuechendi/Wan2.2-T2V-A14B-Diffusers-reduced-to-2layers
