Style Transfer to Calvin and Hobbes comics using Stable Diffusion
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arXiv
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| Format: | Preprint |
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2023
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| _version_ | 1866918135348592640 |
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| author | Venkataramanan, Asvin Kumar Shrestha, Sloke Sriraman, Sundar Sripada Venugopalaswamy |
| author_facet | Venkataramanan, Asvin Kumar Shrestha, Sloke Sriraman, Sundar Sripada Venugopalaswamy |
| contents | This project report summarizes our journey to perform stable diffusion fine-tuning on a dataset containing Calvin and Hobbes comics. The purpose is to convert any given input image into the comic style of Calvin and Hobbes, essentially performing style transfer. We train stable-diffusion-v1.5 using Low Rank Adaptation (LoRA) to efficiently speed up the fine-tuning process. The diffusion itself is handled by a Variational Autoencoder (VAE), which is a U-net. Our results were visually appealing for the amount of training time and the quality of input data that went into training. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_03993 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Style Transfer to Calvin and Hobbes comics using Stable Diffusion Venkataramanan, Asvin Kumar Shrestha, Sloke Sriraman, Sundar Sripada Venugopalaswamy Computer Vision and Pattern Recognition Artificial Intelligence This project report summarizes our journey to perform stable diffusion fine-tuning on a dataset containing Calvin and Hobbes comics. The purpose is to convert any given input image into the comic style of Calvin and Hobbes, essentially performing style transfer. We train stable-diffusion-v1.5 using Low Rank Adaptation (LoRA) to efficiently speed up the fine-tuning process. The diffusion itself is handled by a Variational Autoencoder (VAE), which is a U-net. Our results were visually appealing for the amount of training time and the quality of input data that went into training. |
| title | Style Transfer to Calvin and Hobbes comics using Stable Diffusion |
| topic | Computer Vision and Pattern Recognition Artificial Intelligence |
| url | https://arxiv.org/abs/2312.03993 |