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arnekummerow/ai2pixelart
ai2pixelart is a machine learning model from arnekummerow. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This is the Hugging Face MODEL CARD. Upload it as the README.md of your HF model repo. Replace GITHUBURL below with your repo's URL before uploading. -- --- license: cc-by-nc-4.0 libraryname: ai2pixelart pipelinetag:…
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Updated Jul 24, 2026
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From the Hugging Face model README
license: cc-by-nc-4.0 library_name: ai2pixelart pipeline_tag: image-to-image tags:
Trained restoration networks for ai2pixelart — turning AI-generated pseudo pixel art (wobbly grids, mixed-color cells, too many shades) into pixel-perfect, palette-clean pixel art.
The networks assign each cell a palette entry from the classical grid/palette proposal; they are structurally incapable of off-palette colors and carry learned priors (recovering pure 1-px details, collapsing shaded backgrounds) that no local method can.
| File | Approach | Use |
|---|---|---|
robust-v11.safetensors | Neural Robust | Recommended default; best on real AI renders, dense palettes, noisy backgrounds, tile sheets. |
detail-v9.safetensors | Neural Detail | Best 1-px detail retention on fine 2–3 px grids; fallback when Robust over-corrects. |
Each file is a self-describing safetensors checkpoint (model config in the metadata header).
pip install "ai2pixelart[neural]"
ai2pixelart clean input.png -o out.png --approach robust # or: detail
The weights download automatically on first use and are cached locally.
Licensed under CC BY-NC 4.0, with an important carve-out: the pixel
art you make with these models is yours — you may use it commercially.
The noncommercial term restricts the models themselves (you may not sell
them or offer their functionality as a paid product/service/API), not your
output. See LICENSE-WEIGHTS in this repo.
The source code is licensed separately under the PolyForm Noncommercial License 1.0.0 (see the code repository).