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LongCat-Video-bf16

Text-to-Video
Diffusers
Safetensors
Transformers
English
Chinese
image-to-video
video-continuation
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LICENSE ADDED
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+ MIT License
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+
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+ Copyright (c) 2025 Meituan
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+
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+ Permission is hereby granted, free of charge, to any person obtaining a copy
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+ of this software and associated documentation files (the "Software"), to deal
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+ in the Software without restriction, including without limitation the rights
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+ to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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+ copies of the Software, and to permit persons to whom the Software is
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+ furnished to do so, subject to the following conditions:
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+
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+ The above copyright notice and this permission notice shall be included in
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+ all copies or substantial portions of the Software.
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+
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+ THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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+ IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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+ FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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+ AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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+ LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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+ OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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+ SOFTWARE.
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+ ---
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+ language:
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+ - en
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+ - zh
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+ library_name: diffusers
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+ license: mit
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+ pipeline_tag: text-to-video
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+ tags:
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+ - transformers
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+ - diffusers
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+ - image-to-video
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+ - video-continuation
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+ ---
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+
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+ # LongCat-Video
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+
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+ <div align="center">
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+ <img src="assets/longcat_logo.svg" width="45%" alt="LongCat-Video" />
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+ </div>
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+ <hr>
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+
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+ <div align="center" style="line-height: 1;">
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+ <a href='https://meituan-longcat.github.io/LongCat-Video/'><img src='https://img.shields.io/badge/Project-Page-green'></a>
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+ <a href='https://huggingface.co/papers/2510.22200'><img src='https://img.shields.io/badge/Paper-HuggingFace-red'></a>
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+ <a href='https://huggingface.co/meituan-longcat/LongCat-Video'><img src='https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Model-blue'></a>
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+ </div>
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+
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+ <div align="center" style="line-height: 1;">
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+ <a href='https://github.com/meituan-longcat/LongCat-Flash-Chat/blob/main/figures/wechat_official_accounts.png'><img src='https://img.shields.io/badge/WeChat-LongCat-brightgreen?logo=wechat&logoColor=white'></a>
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+ <a href='https://x.com/Meituan_LongCat'><img src='https://img.shields.io/badge/Twitter-LongCat-white?logo=x&logoColor=white'></a>
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+ </div>
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+
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+ <div align="center" style="line-height: 1;">
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+ <a href='https://huggingface.co/meituan-longcat/LongCat-Video/blob/main/LICENSE'><img src='https://img.shields.io/badge/License-MIT-f5de53?&color=f5de53'></a>
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+ </div>
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+
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+ ## Model Introduction
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+ We introduce LongCat-Video, a foundational video generation model with 13.6B parameters, delivering strong performance across *Text-to-Video*, *Image-to-Video*, and *Video-Continuation* generation tasks. It particularly excels in efficient and high-quality long video generation, representing our first step toward world models.
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+
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+ ### Key Features
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+ - 🌟 **Unified architecture for multiple tasks**: LongCat-Video unifies *Text-to-Video*, *Image-to-Video*, and *Video-Continuation* tasks within a single video generation framework. It natively supports all these tasks with a single model and consistently delivers strong performance across each individual task.
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+ - 🌟 **Long video generation**: LongCat-Video is natively pretrained on *Video-Continuation* tasks, enabling it to produce minutes-long videos without color drifting or quality degradation.
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+ - 🌟 **Efficient inference**: LongCat-Video generates $720p$, $30fps$ videos within minutes by employing a coarse-to-fine generation strategy along both the temporal and spatial axes. Block Sparse Attention further enhances efficiency, particularly at high resolutions
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+ - 🌟 **Strong performance with multi-reward RLHF**: Powered by multi-reward Group Relative Policy Optimization (GRPO), comprehensive evaluations on both internal and public benchmarks demonstrate that LongCat-Video achieves performance comparable to leading open-source video generation models as well as the latest commercial solutions.
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+
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+ For more detail, please refer to the comprehensive [***LongCat-Video Technical Report***](https://huggingface.co/papers/2510.22200).
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+
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+ ## 🎥 Teaser Video
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+
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+ <div align="center">
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+ <video src="https://github.com/user-attachments/assets/00fa63f0-9c4e-461a-a79e-c662ad596d7d" width="2264" height="384"> </video>
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+ </div>
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+
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+ ## Quick Start
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+
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+ ### Installation
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+
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+ Clone the repo:
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+
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+ ```shell
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+ git clone https://github.com/meituan-longcat/LongCat-Video
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+ cd LongCat-Video
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+ ```
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+
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+ Install dependencies:
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+
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+ ```shell
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+ # create conda environment
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+ conda create -n longcat-video python=3.10
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+ conda activate longcat-video
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+
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+ # install torch (configure according to your CUDA version)
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+ pip install torch==2.6.0+cu124 torchvision==0.21.0+cu124 torchaudio==2.6.0 --index-url https://download.pytorch.org/whl/cu124
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+
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+ # install flash-attn-2
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+ pip install ninja
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+ pip install psutil
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+ pip install packaging
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+ pip install flash_attn==2.7.4.post1
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+
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+ # install other requirements
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+ pip install -r requirements.txt
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+ ```
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+
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+ FlashAttention-2 is enabled in the model config by default; you can also change the model config to use FlashAttention-3 or xformers.
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+
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+ ### Model Download
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+
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+ | Models | Download Link |
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+ | --- | --- |
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+ | LongCat-Video | 🤗 [Huggingface](https://huggingface.co/meituan-longcat/LongCat-Video) |
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+
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+ Download models using huggingface-cli:
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+ ```shell
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+ pip install "huggingface_hub[cli]"
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+ huggingface-cli download meituan-longcat/LongCat-Video --local-dir ./weights/LongCat-Video
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+ ```
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+
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+ ### Run Text-to-Video
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+
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+ ```shell
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+ # Single-GPU inference
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+ torchrun run_demo_text_to_video.py --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+
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+ # Multi-GPU inference
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+ torchrun --nproc_per_node=2 run_demo_text_to_video.py --context_parallel_size=2 --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+ ```
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+
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+ ### Run Image-to-Video
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+
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+ ```shell
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+ # Single-GPU inference
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+ torchrun run_demo_image_to_video.py --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+
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+ # Multi-GPU inference
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+ torchrun --nproc_per_node=2 run_demo_image_to_video.py --context_parallel_size=2 --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+ ```
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+
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+ ### Run Video-Continuation
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+
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+ ```shell
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+ # Single-GPU inference
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+ torchrun run_demo_video_continuation.py --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+
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+ # Multi-GPU inference
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+ torchrun --nproc_per_node=2 run_demo_video_continuation.py --context_parallel_size=2 --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+ ```
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+
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+ ### Run Long-Video Generation
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+
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+ ```shell
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+ # Single-GPU inference
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+ torchrun run_demo_long_video.py --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+
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+ # Multi-GPU inference
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+ torchrun --nproc_per_node=2 run_demo_long_video.py --context_parallel_size=2 --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+ ```
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+
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+ ### Run Interactive Video Generation
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+
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+ ```shell
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+ # Single-GPU inference
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+ torchrun run_demo_interactive_video.py --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+
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+ # Multi-GPU inference
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+ torchrun --nproc_per_node=2 run_demo_interactive_video.py --context_parallel_size=2 --checkpoint_dir=./weights/LongCat-Video --enable_compile
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+ ```
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+
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+ ### Run Streamlit
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+
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+ ```shell
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+ # Single-GPU inference
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+ streamlit run ./run_streamlit.py --server.fileWatcherType none --server.headless=false
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+ ```
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+
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+
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+
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+ ## Evaluation Results
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+
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+ ### Text-to-Video
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+ The *Text-to-Video* MOS evaluation results on our internal benchmark.
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+
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+ | **MOS score** | **Veo3** | **PixVerse-V5** | **Wan 2.2-T2V-A14B** | **LongCat-Video** |
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+ |---------------|-------------------|--------------------|-------------|-------------|
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+ | **Accessibility** | Proprietary | Proprietary | Open Source | Open Source |
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+ | **Architecture** | - | - | MoE | Dense |
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+ | **# Total Params** | - | - | 28B | 13.6B |
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+ | **# Activated Params** | - | - | 14B | 13.6B |
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+ | Text-Alignment↑ | 3.99 | 3.81 | 3.70 | 3.76 |
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+ | Visual Quality↑ | 3.23 | 3.13 | 3.26 | 3.25 |
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+ | Motion Quality↑ | 3.86 | 3.81 | 3.78 | 3.74 |
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+ | Overall Quality↑ | 3.48 | 3.36 | 3.35 | 3.38 |
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+
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+ ### Image-to-Video
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+ The *Image-to-Video* MOS evaluation results on our internal benchmark.
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+
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+ | **MOS score** | **Seedance 1.0** | **Hailuo-02** | **Wan 2.2-I2V-A14B** | **LongCat-Video** |
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+ |---------------|-------------------|--------------------|-------------|-------------|
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+ | **Accessibility** | Proprietary | Proprietary | Open Source | Open Source |
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+ | **Architecture** | - | - | MoE | Dense |
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+ | **# Total Params** | - | - | 28B | 13.6B |
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+ | **# Activated Params** | - | - | 14B | 13.6B |
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+ | Image-Alignment↑ | 4.12 | 4.18 | 4.18 | 4.04 |
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+ | Text-Alignment↑ | 3.70 | 3.85 | 3.33 | 3.49 |
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+ | Visual Quality↑ | 3.22 | 3.18 | 3.23 | 3.27 |
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+ | Motion Quality↑ | 3.77 | 3.80 | 3.79 | 3.59 |
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+ | Overall Quality↑ | 3.35 | 3.27 | 3.26 | 3.17 |
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+
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+ ## Community Works
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+
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+ Community works are welcome! Please PR or inform us in Issue to add your work.
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+
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+ - [CacheDiT](https://github.com/vipshop/cache-dit) offers Fully Cache Acceleration support for LongCat-Video with DBCache and TaylorSeer, achieved nearly 1.7x speedup without obvious loss of precision. Visit their [example](https://github.com/vipshop/cache-dit/blob/main/examples/pipeline/run_longcat_video.py) for more details.
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+
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+
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+ ## License Agreement
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+
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+ The **model weights** are released under the **MIT License**.
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+
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+ Any contributions to this repository are licensed under the MIT License, unless otherwise stated. This license does not grant any rights to use Meituan trademarks or patents.
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+
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+ See the [LICENSE](https://huggingface.co/meituan-longcat/LongCat-Video/blob/main/LICENSE) file for the full license text.
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+
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+ ## Usage Considerations
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+ This model has not been specifically designed or comprehensively evaluated for every possible downstream application.
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+
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+ Developers should take into account the known limitations of large language models, including performance variations across different languages, and carefully assess accuracy, safety, and fairness before deploying the model in sensitive or high-risk scenarios.
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+ It is the responsibility of developers and downstream users to understand and comply with all applicable laws and regulations relevant to their use case, including but not limited to data protection, privacy, and content safety requirements.
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+
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+ Nothing in this Model Card should be interpreted as altering or restricting the terms of the MIT License under which the model is released.
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+
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+ ## Citation
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+ We kindly encourage citation of our work if you find it useful.
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+
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+ ```
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+ @misc{meituanlongcatteam2025longcatvideotechnicalreport,
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+ title={LongCat-Video Technical Report},
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+ author={Meituan LongCat Team and Xunliang Cai and Qilong Huang and Zhuoliang Kang and Hongyu Li and Shijun Liang and Liya Ma and Siyu Ren and Xiaoming Wei and Rixu Xie and Tong Zhang},
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+ year={2025},
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+ eprint={2510.22200},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CV},
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+ url={https://arxiv.org/abs/2510.22200},
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+ }
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+ ```
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+
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+ ## Acknowledgements
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+
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+ We would like to thank the contributors to the [Wan](https://huggingface.co/Wan-AI), [UMT5-XXL](https://huggingface.co/google/umt5-xxl), [Diffusers](https://github.com/huggingface/diffusers) and [HuggingFace](https://huggingface.co) repositories, for their open research.
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+
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+
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+ ## Contact
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+ Please contact us at <a href="mailto:longcat-team@meituan.com">longcat-team@meituan.com</a> or join our WeChat Group if you have any questions.
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