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- ---
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- base_model:
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- - THUDM/CogVideoX-5b
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- tags:
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- - LoRA
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- - cogvideo
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- ---
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  This CogVideoX LoRA is created as part of a <b>fan project</b> for <b>research purposes</b> only and is <b>not</b> intended for commercial use. It is based on the TV series called Arcane which are protected by copyright. Users utilize the model at their own risk. Users are obligated to comply with copyright laws and applicable regulations. The model has been developed for non-commercial purposes, and it is not my intention to infringe on any copyright. I assume no responsibility for any damages or legal consequences arising from the use of the model.
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  <u><b>Important Notes:</u></b>
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  ```
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  <u><b>Acknowledgment:</b></u>
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- - Thank you for the [CogVideo team](https://github.com/a-r-r-o-w/cogvideox-factory) for making these great models available
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- - Thank you for A-R-R-O-W for his [CogVideoX-Factory](https://github.com/a-r-r-o-w/cogvideox-factory) that helps us making CogVideo LoRAs more easier.
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- - Thank you for Kijai for his great [ComfyUI integration](https://github.com/kijai/ComfyUI-CogVideoXWrapper)
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-
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  <u><b>Examples:</b></u>
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  <video width="720" height="480" controls>
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  <source src="https://huggingface.co/Cseti/CogVideoX-LoRA-Wallace_and_Gromit/resolve/main/WalGro_withLoRA_0000.mp4" type="video/mp4">
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  Your browser does not support the video tag.
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- </video>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ base_model:
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+ - THUDM/CogVideoX-5b
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+ tags:
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+ - LoRA
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+ - cogvideo
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+ ---
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  This CogVideoX LoRA is created as part of a <b>fan project</b> for <b>research purposes</b> only and is <b>not</b> intended for commercial use. It is based on the TV series called Arcane which are protected by copyright. Users utilize the model at their own risk. Users are obligated to comply with copyright laws and applicable regulations. The model has been developed for non-commercial purposes, and it is not my intention to infringe on any copyright. I assume no responsibility for any damages or legal consequences arising from the use of the model.
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  <u><b>Important Notes:</u></b>
 
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  ```
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  <u><b>Acknowledgment:</b></u>
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+ - Thanks to the [CogVideo team](https://github.com/a-r-r-o-w/cogvideox-factory) for making these great models available
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+ - Thanks to [A-R-R-O-W](https://github.com/a-r-r-o-w) for his [CogVideoX-Factory](https://github.com/a-r-r-o-w/cogvideox-factory) that helps us making CogVideo LoRAs more easier.
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+ - Thanks to [Kijai](https://github.com/kijai) for his great [ComfyUI integration](https://github.com/kijai/ComfyUI-CogVideoXWrapper)
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+ - Thanks to [POM](https://huggingface.co/peteromallet) for providing the computing resources. Without this, these LoRAs could not have been created.
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  <u><b>Examples:</b></u>
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  <video width="720" height="480" controls>
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  <source src="https://huggingface.co/Cseti/CogVideoX-LoRA-Wallace_and_Gromit/resolve/main/WalGro_withLoRA_0000.mp4" type="video/mp4">
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  Your browser does not support the video tag.
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+ </video>
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+
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+
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+ @article{yang2024cogvideox,
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+ title={CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer},
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+ author={Yang, Zhuoyi and Teng, Jiayan and Zheng, Wendi and Ding, Ming and Huang, Shiyu and Xu, Jiazheng and Yang, Yuanming and Hong, Wenyi and Zhang, Xiaohan and Feng, Guanyu and others},
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+ journal={arXiv preprint arXiv:2408.06072},
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+ year={2024}
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+ }
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+ @article{hong2022cogvideo,
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+ title={CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers},
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+ author={Hong, Wenyi and Ding, Ming and Zheng, Wendi and Liu, Xinghan and Tang, Jie},
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+ journal={arXiv preprint arXiv:2205.15868},
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+ year={2022}
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+ }