Wan 2.1 VACE 14B Diffusers
💜 Wan | 🖥️ GitHub | 🤗 Hugging Face | 🤖 ModelScope | 📑 Technical Report | 📑 Blog | 💬 WeChat Group | 📖 Discord
Source du modèle
- Type
- Other
- Taille du fichier
- 484 MB–4,64 GB
- Version
- vRevision db79b90
- Mis à jour
- 19 sept. 2026
- Éditeur
- @Wan-AI
- Téléchargements
- 2,8 k
- Paramètres
- 14B
- Source
- Hugging Face
Extrait de la source
💜 Wan | 🖥️ GitHub | 🤗 Hugging Face | 🤖 ModelScope | 📑 Technical Report | 📑 Blog | 💬 WeChat Group | 📖 Discord
Exigences
Modèles
1vae/diffusion_pytorch_model.safetensors
Fichier non vérifiéVAE · Hugging Face · Wan-AI/Wan2.1-VACE-14B-diffusers · SHA-256 d6e524b3fffe
Sources
1 source
Sources
1 sourceVérifié 6 août
Artefacts du modèle
17 artefacts
Artefacts du modèle
17 artefactstext_encoder/model-00001-of-00003.safetensors
safetensors · 4,60 GB · SHA-256 a8e861969c74…8f58 · Hugging Face
Téléchargertext_encoder/model-00002-of-00003.safetensors
safetensors · 4,64 GB · SHA-256 d57d948ece48…02d7 · Hugging Face
Téléchargertext_encoder/model-00003-of-00003.safetensors
safetensors · 1,34 GB · SHA-256 0da9ee284e21…7c5f · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00001-of-00013.safetensors
safetensors · 4,53 GB · SHA-256 bd8bbb8834a2…9b99 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00002-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 8d24b40a5ea6…7839 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00003-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 7f550f93b3c3…a91c · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00004-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 6a701d601e2c…ec11 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00005-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 7eb65433e529…104f · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00006-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 aae199dea0ae…9d07 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00007-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 53c24e663dec…89d4 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00008-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 333eaca9dce5…fd9a · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00009-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 8af811e7ed2a…6e5d · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00010-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 e8b631e38f0a…ba63 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00011-of-00013.safetensors
safetensors · 4,58 GB · SHA-256 21032fe150df…1b27 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00012-of-00013.safetensors
safetensors · 4,63 GB · SHA-256 e48bce2ab6bb…aff8 · Hugging Face
Téléchargertransformer/diffusion_pytorch_model-00013-of-00013.safetensors
safetensors · 3,93 GB · SHA-256 e0e39ee859fc…0f12 · Hugging Face
Téléchargervae/diffusion_pytorch_model.safetensors
safetensors · 484 MB · SHA-256 d6e524b3fffe…e793 · Hugging Face
TéléchargerExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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>    ｜    🖥️ <a href="https://github.com/Wan-Video/Wan2.1">GitHub</a>    |   🤗 <a href="https://huggingface.co/Wan-AI/">Hugging Face</a>   |   🤖 <a href="https://modelscope.cn/organization/Wan-AI">ModelScope</a>   |    📑 <a href="https://arxiv.org/abs/2503.20314">Technical Report</a>    |    📑 <a href="https://wan.video/welcome?spm=a2ty_o02.30011076.0.0.6c9ee41eCcluqg">Blog</a>    |   💬 <a href="https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB_!!6000000000015-0-tps-611-1279.jpg">WeChat Group</a>   |    📖 <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> 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
