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- README.md +20 -42
- ckpt/magi/4.5B_base/inference_weight/model-00001-of-00002.safetensors +0 -3
- ckpt/magi/4.5B_base/inference_weight/model-00002-of-00002.safetensors +0 -3
- ckpt/magi/4.5B_base/inference_weight/model.safetensors.index.json +0 -905
- ckpt/magi/4.5B_distill/inference_weight.distill/model-00001-of-00002.safetensors +0 -3
- ckpt/magi/4.5B_distill/inference_weight.distill/model-00002-of-00002.safetensors +0 -3
- ckpt/magi/4.5B_distill/inference_weight.distill/model.safetensors.index.json +0 -905
- ckpt/magi/4.5B_distill_quant/inference_weight.fp8.distill/model.safetensors +0 -3
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README.md
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language:
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- en
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pipeline_tag: image-to-video
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tags:
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- magi-1
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---
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-----
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<p align="center" style="line-height: 1;">
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<a href="https://
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<img alt="paper" src="https://img.shields.io/badge/Paper-arXiv-B31B1B?logo=arxiv" style="display: inline-block; vertical-align: middle;">
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</a>
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<a href="https://sand.ai" target="_blank" style="margin: 2px;">
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# MAGI-1: Autoregressive Video Generation at Scale
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This repository contains the
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## 🔥🔥🔥 Latest News
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- May 30, 2025: Support for ComfyUI is added 🎉 — the custom nodes for MAGI-1 are now available. Try them out in your workflows!
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- May 26, 2025: MAGI-1 4.5B distill and distill+quant models has been released 🎉 — we’ve updated the model weights - check it out!
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- May 14, 2025: Added Dify DSL for prompt enhancement 🎉 — import it into Dify to boost prompt quality!
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- Apr 30, 2025: MAGI-1 4.5B model has been released 🎉. We've updated the model weights — check it out!
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- Apr 21, 2025: MAGI-1 is here 🎉. We've released the model weights and inference code — check it out!
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We provide the pre-trained weights for MAGI-1, including the 24B and 4.5B models, as well as the corresponding distill and distill+quant models. The model weight links are shown in the table.
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| Model | Link
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| T5
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| MAGI-1-VAE
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| MAGI-1-24B
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| MAGI-1-24B-distill
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| MAGI-1-24B-distill+fp8_quant
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| MAGI-1-4.5B
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| MAGI-1-4.5B-distill | Coming soon | RTX 4090 × 1 |
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| MAGI-1-4.5B-distill+fp8_quant | Coming soon | RTX 4090 × 1 |
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> [!NOTE]
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>
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> For 4.5B models, any machine with at least 24GB of GPU memory is sufficient.
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## 4. Evaluation
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### In-house Human Evaluation
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MAGI-1 achieves state-of-the-art performance among open-source models
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### Physical Evaluation
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Thanks to the natural advantages of autoregressive architecture, Magi achieves far superior precision in predicting physical behavior
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| Model | Phys. IQ Score ↑ | Spatial IoU ↑ | Spatio Temporal ↑ | Weighted Spatial IoU ↑ | MSE ↓ |
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|----------------|------------------|---------------|-------------------|-------------------------|--------|
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| **V2V Models** | | | | | |
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| **Magi
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| **Magi-4.5B (V2V)** | **42.44** | **0.234** | **0.285** | **0.188** | **0.007** |
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| VideoPoet (V2V)| 29.50 | 0.204 | 0.164 | 0.137 | 0.010 |
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| **I2V Models** | | | | | |
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| **Magi
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| Kling1.6 (I2V) | 23.64 | 0.197 | 0.086 | 0.144 | 0.025 |
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| VideoPoet (I2V)| 20.30 | 0.141 | 0.126 | 0.087 | 0.012 |
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| Gen 3 (I2V) | 22.80 | 0.201 | 0.115 | 0.116 | 0.015 |
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# Install ffmpeg
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conda install -c conda-forge ffmpeg=4.4
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#
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git clone [email protected]:SandAI-org/MagiAttention.git
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cd MagiAttention
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git submodule update --init --recursive
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### Some Useful Configs (for config.json)
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> [!NOTE]
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>
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> - If you are running 24B model with RTX 4090 \* 8, please set `pp_size:2 cp_size: 4`.
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>
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> - Our model supports arbitrary resolutions. To accelerate inference process, the default resolution for the 4.5B model is set to 720×720 in the `4.5B_config.json`.
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| Config | Help |
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| -------------- | ------------------------------------------------------------ |
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| seed | Random seed used for video generation |
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| video_size_w | Width of the video |
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| num_frames | Controls the duration of generated video |
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| fps | Frames per second, 4 video frames correspond to 1 latent_frame |
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| cfg_number | Base model uses cfg_number==
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| load | Directory containing a model checkpoint. |
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| t5_pretrained | Path to load pretrained T5 model |
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| vae_pretrained | Path to load pretrained VAE model |
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If you find our code or model useful in your research, please cite:
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```bibtex
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@misc{
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title={MAGI-1: Autoregressive Video Generation at Scale},
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author={Sand
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year={2025},
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archivePrefix={arXiv},
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primaryClass={cs.CV},
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url={https://arxiv.org/abs/2505.13211},
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}
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```
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## 8. Contact
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If you have any questions, please feel free to raise an issue or contact us at [
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language:
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- en
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pipeline_tag: image-to-video
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---
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-----
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<p align="center" style="line-height: 1;">
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<a href="https://static.magi.world/static/files/MAGI_1.pdf" target="_blank" style="margin: 2px;">
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<img alt="paper" src="https://img.shields.io/badge/Paper-arXiv-B31B1B?logo=arxiv" style="display: inline-block; vertical-align: middle;">
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</a>
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<a href="https://sand.ai" target="_blank" style="margin: 2px;">
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# MAGI-1: Autoregressive Video Generation at Scale
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This repository contains the code for the MAGI-1 model, pre-trained weights and inference code. You can find more information on our [technical report](https://static.magi.world/static/files/MAGI_1.pdf) or directly create magic with MAGI-1 [here](http://sand.ai) . 🚀✨
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## 🔥🔥🔥 Latest News
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- Apr 21, 2025: MAGI-1 is here 🎉. We've released the model weights and inference code — check it out!
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We provide the pre-trained weights for MAGI-1, including the 24B and 4.5B models, as well as the corresponding distill and distill+quant models. The model weight links are shown in the table.
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| Model | Link | Recommend Machine |
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| ----------------------------- | ------------------------------------------------------------ | ------------------------------- |
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| T5 | [T5](https://huggingface.co/sand-ai/MAGI-1/tree/main/ckpt/t5) | - |
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| MAGI-1-VAE | [MAGI-1-VAE](https://huggingface.co/sand-ai/MAGI-1/tree/main/ckpt/vae) | - |
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| MAGI-1-24B | [MAGI-1-24B](https://huggingface.co/sand-ai/MAGI-1/tree/main/ckpt/magi/24B_base) | H100/H800 \* 8 |
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| MAGI-1-24B-distill | [MAGI-1-24B-distill](https://huggingface.co/sand-ai/MAGI-1/tree/main/ckpt/magi/24B_distill) | H100/H800 \* 8 |
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| MAGI-1-24B-distill+fp8_quant | [MAGI-1-24B-distill+quant](https://huggingface.co/sand-ai/MAGI-1/tree/main/ckpt/magi/24B_distill_quant) | H100/H800 \* 4 or RTX 4090 \* 8 |
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| MAGI-1-4.5B | MAGI-1-4.5B | RTX 4090 \* 1 |
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## 4. Evaluation
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### In-house Human Evaluation
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MAGI-1 achieves state-of-the-art performance among open-source models (surpassing Wan-2.1 and significantly outperforming Hailuo and HunyuanVideo), particularly excelling in instruction following and motion quality, positioning it as a strong potential competitor to closed-source commercial models such as Kling.
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### Physical Evaluation
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Thanks to the natural advantages of autoregressive architecture, Magi achieves far superior precision in predicting physical behavior through video continuation—significantly outperforming all existing models.
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| Model | Phys. IQ Score ↑ | Spatial IoU ↑ | Spatio Temporal ↑ | Weighted Spatial IoU ↑ | MSE ↓ |
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|----------------|------------------|---------------|-------------------|-------------------------|--------|
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| **V2V Models** | | | | | |
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| **Magi (V2V)** | **56.02** | **0.367** | **0.270** | **0.304** | **0.005** |
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| VideoPoet (V2V)| 29.50 | 0.204 | 0.164 | 0.137 | 0.010 |
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| **I2V Models** | | | | | |
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| **Magi (I2V)** | **30.23** | **0.203** | **0.151** | **0.154** | **0.012** |
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| Kling1.6 (I2V) | 23.64 | 0.197 | 0.086 | 0.144 | 0.025 |
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| VideoPoet (I2V)| 20.30 | 0.141 | 0.126 | 0.087 | 0.012 |
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| Gen 3 (I2V) | 22.80 | 0.201 | 0.115 | 0.116 | 0.015 |
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# Install ffmpeg
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conda install -c conda-forge ffmpeg=4.4
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# Install MagiAttention, for more information, please refer to https://github.com/SandAI-org/MagiAttention#
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git clone [email protected]:SandAI-org/MagiAttention.git
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cd MagiAttention
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git submodule update --init --recursive
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### Some Useful Configs (for config.json)
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| Config | Help |
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| -------------- | ------------------------------------------------------------ |
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| seed | Random seed used for video generation |
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| video_size_w | Width of the video |
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| num_frames | Controls the duration of generated video |
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| fps | Frames per second, 4 video frames correspond to 1 latent_frame |
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| cfg_number | Base model uses cfg_number==2, distill and quant model uses cfg_number=1 |
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| load | Directory containing a model checkpoint. |
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| t5_pretrained | Path to load pretrained T5 model |
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| vae_pretrained | Path to load pretrained VAE model |
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If you find our code or model useful in your research, please cite:
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```bibtex
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@misc{magi1,
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title={MAGI-1: Autoregressive Video Generation at Scale},
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author={Sand-AI},
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year={2025},
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url={https://static.magi.world/static/files/MAGI_1.pdf},
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}
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```
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## 8. Contact
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If you have any questions, please feel free to raise an issue or contact us at [support@sand.ai](support@sand.ai) .
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ckpt/magi/4.5B_distill_quant/inference_weight.fp8.distill/model.safetensors
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| 1 |
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:fa220da5fe19fdd466151d6f6c511b7c71d8d47adc5348267cb8df1cf666c4af
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| 3 |
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size 5140362808
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figures/logo_black.png
DELETED
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