Instructions to use circlestone-labs/Anima with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use circlestone-labs/Anima with Diffusion Single File:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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@@ -56,7 +56,7 @@ The model is trained on Danbooru-style tags, natural language captions, and comb
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- Prompt weighting works, but needs a weight higher than typically used for SDXL. Example: "(chibi:2)"
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## Aesthetic Version Prompting
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Anima-Aesthetic is fine-tuned only on high quality images, with all of the quality tags stripped out from the captions. You don't need to use quality tags in the positive at all, but "masterpiece, best quality, " is safe to leave in.
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## Tag order
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[quality/meta/year/safety tags] [1girl/1boy/1other etc] [character] [series] [artist] [general tags]
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- Prompt weighting works, but needs a weight higher than typically used for SDXL. Example: "(chibi:2)"
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## Aesthetic Version Prompting
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Anima-Aesthetic is fine-tuned only on high quality images, with all of the quality tags stripped out from the captions. You don't need to use quality tags in the positive at all, but "masterpiece, best quality, " is safe to leave in. I recommend **not** using score_* tags in both the positive and negative prompt. It is already high quality enough and the score tags can push it too hard into slop territory.
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## Tag order
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[quality/meta/year/safety tags] [1girl/1boy/1other etc] [character] [series] [artist] [general tags]
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