Instructions to use neta-art/Neta-Lumina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusion Single File
How to use neta-art/Neta-Lumina 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
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README.md
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- First beta release candidate
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- **Primary Goal**: Enhanced aesthetics, pose accuracy, and scene detail
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- **Data Set**: Hundreds of thousands of handpicked high‑quality anime images (fine‑tuned on
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- User-friendly, suitable for most people.
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- First beta release candidate
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- **Primary Goal**: Enhanced aesthetics, pose accuracy, and scene detail
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- **Data Set**: Hundreds of thousands of handpicked high‑quality anime images (fine‑tuned on an older version of raw model)
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- User-friendly, suitable for most people.
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<br>
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