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Wan 2.1 VACE 14B Diffusers

💜 Wan | 🖥️ GitHub | 🤗 Hugging Face | 🤖 ModelScope | 📑 Technical Report | 📑 Blog | 💬 WeChat Group | 📖 Discord

KindOtherVersionRevision db79b90Publisher@Wan-AIBgrade

Model source

Kind
Other
File size
484 MB–4.64 GB
Version
vRevision db79b90
Updated
Sep 19, 2026
Publisher
@Wan-AI
Downloads
2.8K
Parameters
14B
Source
Hugging Face

Source excerpt

💜 Wan | 🖥️ GitHub | 🤗 Hugging Face | 🤖 ModelScope | 📑 Technical Report | 📑 Blog | 💬 WeChat Group | 📖 Discord

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Models

1

Sources

1 source
Hugging FacePrimaryVersion db79b90c60bbb45ceec9e41b9d5a4df934538ac4
huggingface.co/Wan-AI/Wan2.1-VACE-14B-diffusers/tree/db79b90c60bbb45ceec9e41b9d5a4df934538ac4

Verified Aug 6

Model artifacts

17 artifacts

text_encoder/model-00001-of-00003.safetensors

safetensors · 4.60 GB · SHA-256 a8e861969c74…8f58 · Hugging Face

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text_encoder/model-00002-of-00003.safetensors

safetensors · 4.64 GB · SHA-256 d57d948ece48…02d7 · Hugging Face

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text_encoder/model-00003-of-00003.safetensors

safetensors · 1.34 GB · SHA-256 0da9ee284e21…7c5f · Hugging Face

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transformer/diffusion_pytorch_model-00001-of-00013.safetensors

safetensors · 4.53 GB · SHA-256 bd8bbb8834a2…9b99 · Hugging Face

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transformer/diffusion_pytorch_model-00002-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 8d24b40a5ea6…7839 · Hugging Face

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transformer/diffusion_pytorch_model-00003-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 7f550f93b3c3…a91c · Hugging Face

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transformer/diffusion_pytorch_model-00004-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 6a701d601e2c…ec11 · Hugging Face

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transformer/diffusion_pytorch_model-00005-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 7eb65433e529…104f · Hugging Face

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transformer/diffusion_pytorch_model-00006-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 aae199dea0ae…9d07 · Hugging Face

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transformer/diffusion_pytorch_model-00007-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 53c24e663dec…89d4 · Hugging Face

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transformer/diffusion_pytorch_model-00008-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 333eaca9dce5…fd9a · Hugging Face

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transformer/diffusion_pytorch_model-00009-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 8af811e7ed2a…6e5d · Hugging Face

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transformer/diffusion_pytorch_model-00010-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 e8b631e38f0a…ba63 · Hugging Face

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transformer/diffusion_pytorch_model-00011-of-00013.safetensors

safetensors · 4.58 GB · SHA-256 21032fe150df…1b27 · Hugging Face

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transformer/diffusion_pytorch_model-00012-of-00013.safetensors

safetensors · 4.63 GB · SHA-256 e48bce2ab6bb…aff8 · Hugging Face

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transformer/diffusion_pytorch_model-00013-of-00013.safetensors

safetensors · 3.93 GB · SHA-256 e0e39ee859fc…0f12 · Hugging Face

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vae/diffusion_pytorch_model.safetensors

safetensors · 484 MB · SHA-256 d6e524b3fffe…e793 · Hugging Face

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Source excerpts

3 excerpts

--- license: apache-2.0 language: - en - zh tags: - video generation - video-to-video editing - refernce-to-video pipeline_tag: image-to-video --- # Wan2.1 <p align="center"> <img src="assets/logo.png" width="400"/> <p> <p align="center"> 💜 <a href="https://wan.video"><b>Wan</b></a> &nbsp&nbsp | &nbsp&nbsp 🖥️ <a href="https://github.com/Wan-Video/Wan2.1">GitHub</a> &nbsp&nbsp | &nbsp&nbsp🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>&nbsp&nbsp | &nbsp&nbsp🤖 <a href="https://modelscope.cn/organization/Wan-AI">ModelScope</a>&nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://arxiv.org/abs/2503.20314">Technical Report</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://wan.video/welcome?spm=a2ty_o02.30011076.0.0.6c9ee41eCcluqg">Blog</a> &nbsp&nbsp | &nbsp&nbsp💬 <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB_!!6000000000015-0-tps-611-1279.jpg">WeChat Group</a>&nbsp&nbsp | &nbsp&nbsp 📖 <a href="https://discord.gg/AKNgpMK4Yj">Discord</a>&nbsp&nbsp <br> ----- [**Wan: Open and Advanced Large-Scale Video Generative Models**](https://arxiv.org/abs/2503.20314) <be> 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. ##...

Source context: 2848 downloads · 34 likes · Pipeline image-to-video · Library diffusers · Repo Wan-AI/Wan2.1-VACE-14B-diffusers

Source context: 2094 downloads · 34 likes · Pipeline image-to-video · Library diffusers · Repo Wan-AI/Wan2.1-VACE-14B-diffusers