vantagewithai/turbowan2.1-t2v-14b-720p-comfyui-gguf overview

{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "base_model": "Wan-AI/Wan2.1-T2V-14B",
    "tags": [
      "text-to-video",
      "diffusion",
      "video-generation",
      "turbodiffusion",
      "wan2.1"
    ],
    "pipeline_tag": "text-to-video",
    "frontmatter": {
      "license": "apache-2.0",
      "base_model": "Wan-AI/Wan2.1-T2V-14B",
      "tags": [
        "text-to-video",
        "diffusion",
        "video-generation",
        "turbodiffusion",
        "wan2.1"
      ],
      "pipeline_tag": "text-to-video"
    },
    "hero_image_url": "https://huggingface.co/TurboDiffusion/TurboWan2.1-T2V-14B-720P/resolve/main/assets/TurboDiffusion_Logo.png",
    "summary": "# Citation `` @article{zhang2025turbodiffusion, title={TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times}, author={Zhang, Jintao and Zheng, Kaiwen and Jiang, Kai and Wang, Haoxu and Stoica, Ion and Gonzalez, Joseph E and Chen, Jianfei and Zhu, Jun}, journal={arXiv preprint arXiv:2512.16093}, year={2025} } @software{turbodiffusion2025, title={TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times}, author={The TurboDiffusion Team}, url={https://github.com/thu-ml/TurboDiffusion}, year={2025} } @inproceedings{zhang2025sageattention, title={SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration}, author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Zhu, Jun and Chen, Jianfei}, booktitle={International Conference on Learning Representations (ICLR)}, year={2025} } @article{zhang2025sla, title={SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention}, author={Zhang, Jintao and Wang, Haoxu and Jiang, Kai and Yang, Shuo and Zheng, Kaiwen and Xi, Haocheng and Wang, Ziteng and Zhu, Hongzhou and Zhao, Min and Stoica, Ion and others}, journal={arXiv preprint arXiv:2509.24006}, year={2025} } @article{zheng2025rcm, title={Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency}, author={Zheng, Kaiwen and Wang, Yuji and Ma, Qianli and Chen, Huayu and Zhang, Jintao and Balaji, Yogesh and Chen, Jianfei and Liu, Ming-Yu and Zhu, Jun and Zhang, Qinsheng}, journal={arXiv preprint arXiv:2510.08431}, year={2025} } @inproceedings{zhang2024sageattention2, title={Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization}, author={Zhang, Jintao and Huang, Haofeng and Zhang, Pengle and Wei, Jia and Zhu, Jun and Chen, Jianfei}, booktitle={International Conference on Machine Learning (ICML)}, year={2025} } @article{zhang2025sageattention2++, title={Sageattention2++: A more efficient implementation of sageattention2}, author={Zhang, Jintao and Xu, Xiaoming and Wei, Jia and Huang, Haofeng and Zhang, Pengle and Xiang, Chendong and Zhu, Jun and Chen, Jianfei}, journal={arXiv preprint arXiv:2505.21136}, year={2025} } @article{zhang2025sageattention3, title={SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training}, author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Xu, Xiaoming and Huang, Haofeng and Wang, Haoxu and Jiang, Kai and Zhu, Jun and Chen, Jianfei}, journal={arXiv preprint arXiv:2505.11594}, year={2025} } ``",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nbase_model: Wan-AI/Wan2.1-T2V-14B\ntags:\n- text-to-video\n- diffusion\n- video-generation\n- turbodiffusion\n- wan2.1\npipeline_tag: text-to-video\n---\n**Repackaged GGUF version of TurboWan2.1-T2V-14B-720P for ComfyUI.**\n\n**Original model link:** [https://huggingface.co/TurboDiffusion/TurboWan2.1-T2V-14B-720P](https://huggingface.co/TurboDiffusion/TurboWan2.1-T2V-14B-720P)\n\n**Watch us at Youtube:** [@VantageWithAI](https://www.youtube.com/@vantagewithai)\n\n<p align=\"center\">\n    <img src=\"https://huggingface.co/TurboDiffusion/TurboWan2.1-T2V-14B-720P/resolve/main/assets/TurboDiffusion_Logo.png\" width=\"300\"/>\n<p>\n# TurboWan2.1-T2V-14B-720P\n- This HuggingFace repo contains the `TurboWan2.1-T2V-14B-720P` model.\n\n- Paper: [TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times](https://arxiv.org/pdf/2512.16093)\n\n\n# Citation\n```\n@article{zhang2025turbodiffusion,\n  title={TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times},\n  author={Zhang, Jintao and Zheng, Kaiwen and Jiang, Kai and Wang, Haoxu and Stoica, Ion and Gonzalez, Joseph E and Chen, Jianfei and Zhu, Jun},\n  journal={arXiv preprint arXiv:2512.16093},\n  year={2025}\n}\n@software{turbodiffusion2025,\n  title={TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times},\n  author={The TurboDiffusion Team},\n  url={https://github.com/thu-ml/TurboDiffusion},\n  year={2025}\n}\n@inproceedings{zhang2025sageattention,\n  title={SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration}, \n  author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Zhu, Jun and Chen, Jianfei},\n  booktitle={International Conference on Learning Representations (ICLR)},\n  year={2025}\n}\n@article{zhang2025sla,\n  title={SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention},\n  author={Zhang, Jintao and Wang, Haoxu and Jiang, Kai and Yang, Shuo and Zheng, Kaiwen and Xi, Haocheng and Wang, Ziteng and Zhu, Hongzhou and Zhao, Min and Stoica, Ion and others},\n  journal={arXiv preprint arXiv:2509.24006},\n  year={2025}\n}\n@article{zheng2025rcm,\n  title={Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency},\n  author={Zheng, Kaiwen and Wang, Yuji and Ma, Qianli and Chen, Huayu and Zhang, Jintao and Balaji, Yogesh and Chen, Jianfei and Liu, Ming-Yu and Zhu, Jun and Zhang, Qinsheng},\n  journal={arXiv preprint arXiv:2510.08431},\n  year={2025}\n}\n@inproceedings{zhang2024sageattention2,\n  title={Sageattention2: Efficient attention with thorough outlier smoothing and per-thread int4 quantization},\n  author={Zhang, Jintao and Huang, Haofeng and Zhang, Pengle and Wei, Jia and Zhu, Jun and Chen, Jianfei},\n  booktitle={International Conference on Machine Learning (ICML)},\n  year={2025}\n}\n@article{zhang2025sageattention2++,\n  title={Sageattention2++: A more efficient implementation of sageattention2},\n  author={Zhang, Jintao and Xu, Xiaoming and Wei, Jia and Huang, Haofeng and Zhang, Pengle and Xiang, Chendong and Zhu, Jun and Chen, Jianfei},\n  journal={arXiv preprint arXiv:2505.21136},\n  year={2025}\n}\n@article{zhang2025sageattention3,\n  title={SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training},\n  author={Zhang, Jintao and Wei, Jia and Zhang, Pengle and Xu, Xiaoming and Huang, Haofeng and Wang, Haoxu and Jiang, Kai and Zhu, Jun and Chen, Jianfei},\n  journal={arXiv preprint arXiv:2505.11594},\n  year={2025}\n}\n```",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-to-video",
    "diffusion",
    "video-generation",
    "turbodiffusion",
    "wan2.1",
    "arxiv:2512.16093",
    "arxiv:2509.24006",
    "arxiv:2510.08431",
    "arxiv:2505.21136",
    "arxiv:2505.11594",
    "base_model:Wan-AI/Wan2.1-T2V-14B",
    "base_model:quantized:Wan-AI/Wan2.1-T2V-14B",
    "license:apache-2.0",
    "region:us"
  ],
  "likes": 2,
  "downloads": 110,
  "gated": false,
  "private": false,
  "last_modified": "2025-12-22T16:46:44.000Z",
  "created_at": "2025-12-22T14:18:38.000Z",
  "pipeline_tag": "text-to-video",
  "library_name": ""
}

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  "pipeline_tag": "text-to-video",
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