init upload

.gitattributes

@@ -37,7 +37,6 @@ google/umt5-xxl/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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-assets/input.png filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -5,7 +5,7 @@
 <p>
 
 <p align="center">
-    💜 <a href=""><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="">Paper</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="">Blog</a> &nbsp&nbsp | &nbsp&nbsp💬 <a href="">WeChat Group</a>&nbsp&nbsp | &nbsp&nbsp 📖 <a href="https://discord.gg/p5XbdQV7">Discord</a>&nbsp&nbsp
+    💜 <a href=""><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="">Paper (Coming soon)</a> &nbsp&nbsp | &nbsp&nbsp 📑 <a href="https://wanxai.com">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/p5XbdQV7">Discord</a>&nbsp&nbsp
 <br>
 
 -----
@@ -35,7 +35,7 @@ This repository hosts our T2V-1.3B model, a versatile solution for video generat
 
 ## 🔥 Latest News!!
 
-* Feb 22, 2025: 👋 We've released the inference code and weights of Wan2.1.
+* Feb 25, 2025: 👋 We've released the inference code and weights of Wan2.1.
 
 
 ## 📑 Todo List
@@ -73,10 +73,11 @@ pip install -r requirements.txt
 
 | Models        |                       Download Link                                           |    Notes                      |
 | --------------|-------------------------------------------------------------------------------|-------------------------------|
-| T2V-14B       |      [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B)            | Supports both 480P and 720P
-| I2V-14B-720P  |      [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P)       | Supports 720P
-| I2V-14B-480P  |      [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)       | Supports 480P
-| T2V-1.3B      |      [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)           | Supports 480P
+| T2V-14B       |      🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-T2V-14B)      🤖 [ModelScope](https://www.modelscope.cn/models/Wan-AI/Wan2.1-T2V-14B)          | Supports both 480P and 720P
+| I2V-14B-720P  |      🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-720P)    🤖 [ModelScope](https://www.modelscope.cn/models/Wan-AI/Wan2.1-I2V-14B-720P)     | Supports 720P
+| I2V-14B-480P  |      🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-I2V-14B-480P)    🤖 [ModelScope](https://www.modelscope.cn/models/Wan-AI/Wan2.1-I2V-14B-480P)      | Supports 480P
+| T2V-1.3B      |      🤗 [Huggingface](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B)     🤖 [ModelScope](https://www.modelscope.cn/models/Wan-AI/Wan2.1-T2V-1.3B)         | Supports 480P
+
 
 > 💡Note: The 1.3B model is capable of generating videos at 720P resolution. However, due to limited training at this resolution, the results are generally less stable compared to 480P. For optimal performance, we recommend using 480P resolution.
 
@@ -84,7 +85,7 @@ pip install -r requirements.txt
 Download models using huggingface-cli:
 ```
 pip install "huggingface_hub[cli]"
-huggingface-cli download --resume-download Wan-AI/Wan2.1-T2V-1.3B --local-dir ./Wan2.1-T2V-1.3B
+huggingface-cli download Wan-AI/Wan2.1-T2V-1.3B --local-dir ./Wan2.1-T2V-1.3B
 ```
 
 #### Run Text-to-Video Generation
@@ -136,7 +137,7 @@ If you encounter OOM (Out-of-Memory) issues, you can use the `--offload_model Tr
 python generate.py  --task t2v-1.3B --size 832*480 --ckpt_dir ./Wan2.1-T2V-1.3B --offload_model True --t5_cpu --sample_shift 8 --sample_guide_scale 6 --prompt "Two anthropomorphic cats in comfy boxing gear and bright gloves fight intensely on a spotlighted stage."
 ```
 
-> 💡Note: If you use `T2V-1.3B` model, we recommend use parameter `--sample_shift 8 --sample_guide_scale 6`
+> 💡Note: If you are using the `T2V-1.3B` model, we recommend setting the parameter `--sample_guide_scale 6`. The `--sample_shift parameter` can be adjusted within the range of 8 to 12 based on the performance.
 
 - Multi-GPU inference using FSDP + xDiT USP
 
@@ -151,8 +152,8 @@ torchrun --nproc_per_node=8 generate.py --task t2v-1.3B --size 832*480 --ckpt_di
 Extending the prompts can effectively enrich the details in the generated videos, further enhancing the video quality. Therefore, we recommend enabling prompt extension. We provide the following two methods for prompt extension:
 
 - Use the Dashscope API for extension.
-  - Apply for a `dashscope.api_key` in advance ([Application Link](https://help.aliyun.com/zh/dashscope/developer-reference/qwen-api)).
-  - Configure the environment variable `DASH_API_KEY` to specify the Dashscope API key. For users of Alibaba Cloud's international site, you also need to set the environment variable `DASH_API_URL` to 'https://dashscope-intl.aliyuncs.com/api/v1'. For more detailed instructions, please refer to the [dashscope document](https://www.alibabacloud.com/help/en/model-studio/user-guide/vision/?spm=a2c63.p38356.help-menu-2400256.d_1_0_1.50ea5f94ROV2Ar).
+  - Apply for a `dashscope.api_key` in advance ([EN](https://www.alibabacloud.com/help/en/model-studio/getting-started/first-api-call-to-qwen) | [CN](https://help.aliyun.com/zh/model-studio/getting-started/first-api-call-to-qwen)).
+  - Configure the environment variable `DASH_API_KEY` to specify the Dashscope API key. For users of Alibaba Cloud's international site, you also need to set the environment variable `DASH_API_URL` to 'https://dashscope-intl.aliyuncs.com/api/v1'. For more detailed instructions, please refer to the [dashscope document](https://www.alibabacloud.com/help/en/model-studio/developer-reference/use-qwen-by-calling-api?spm=a2c63.p38356.0.i1).
   - Use the `qwen-plus` model for text-to-video tasks and `qwen-vl-max` for image-to-video tasks.
   - You can modify the model used for extension with the parameter `--prompt_extend_model`. For example:
 ```
@@ -186,7 +187,7 @@ python t2v_1.3B_singleGPU.py --prompt_extend_method 'local_qwen' --ckpt_dir ./Wa
 
 ## Evaluation
 
-We employ our **Wan-Bench** framework to evaluate the performance of the T2V-1.3B model, with the results displayed in the table below. The results indicate that our smaller 1.3B model surpasses the overall metrics of larger open-source models, demonstrating the effectiveness of **Wan2.1**'s architecture and the data construction pipeline.
+We employ our **Wan-Bench** framework to evaluate the performance of the T2V-1.3B model, with the results displayed in the table below. The results indicate that our smaller 1.3B model surpasses the overall metrics of larger open-source models, demonstrating the effectiveness of **WanX2.1**'s architecture and the data construction pipeline.
 
 <div align="center">
     <img src="assets/vben_1.3b_vs_sota.png" alt="" style="width: 80%;" />
@@ -272,9 +273,9 @@ The models in this repository are licensed under the Apache 2.0 License. We clai
 
 ## Acknowledgements
 
-We would like to thank the contributors to the [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium), [QWen](https://huggingface.co/Qwen), [umt5-xxl](https://huggingface.co/google/umt5-xxl), [diffusers](https://github.com/huggingface/diffusers) and [HuggingFace](https://huggingface.co) repositories, for their open research and exploration.
+We would like to thank the contributors to the [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium), [Qwen](https://huggingface.co/Qwen), [umt5-xxl](https://huggingface.co/google/umt5-xxl), [diffusers](https://github.com/huggingface/diffusers) and [HuggingFace](https://huggingface.co) repositories, for their open research.
 
 
 
 ## Contact Us
-If you would like to leave a message to our research or product teams, feel free to join our [Discord](https://discord.gg/p5XbdQV7) or [WeChat groups]()!
+If you would like to leave a message to our research or product teams, feel free to join our [Discord](https://discord.gg/p5XbdQV7) or [WeChat groups](https://gw.alicdn.com/imgextra/i2/O1CN01tqjWFi1ByuyehkTSB_!!6000000000015-0-tps-611-1279.jpg)!

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