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  # SnJake Anime Upscale
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- A **experimental** lightweight upscaler (x2) for anime/illustration images. Designed for clean, sharp results with minimal artifacts.
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  ![Baikal Swin Anime](https://cdn-uploads.huggingface.co/production/uploads/658814fd586088fd274d8cc1/R3AU887ILEP5o6a_4NIPj.png)
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  3. Place the file(s) into `ComfyUI/models/anime_upscale/`.
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  4. Select the weights in the node dropdown and run the workflow.
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- ## Training Details
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-
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  - Dataset: 40,000 images from Danbooru2024: https://huggingface.co/datasets/deepghs/danbooru2024
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  - Validation: 600 images
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  - Epochs: 70
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  Training code is included in `training_code/` for reference.
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  ## Disclaimer
 
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  # SnJake Anime Upscale
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+ A **experimental** lightweight upscaler (x2) for anime/illustration images. Designed for clean, sharp results with minimal artifacts. V2 is slightly sharper and removes edge noise artifacts.
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  ![Baikal Swin Anime](https://cdn-uploads.huggingface.co/production/uploads/658814fd586088fd274d8cc1/R3AU887ILEP5o6a_4NIPj.png)
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  3. Place the file(s) into `ComfyUI/models/anime_upscale/`.
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  4. Select the weights in the node dropdown and run the workflow.
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+ # Training Details
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+ V1:
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  - Dataset: 40,000 images from Danbooru2024: https://huggingface.co/datasets/deepghs/danbooru2024
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  - Validation: 600 images
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  - Epochs: 70
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+ V2:
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+ - Slightly sharper output, no edge noise artifacts.
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+ - Epochs: 20 (For now)
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+ - Dataset: 49,606 images from Danbooru2024: https://huggingface.co/datasets/deepghs/danbooru2024
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+
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  Training code is included in `training_code/` for reference.
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  ## Disclaimer