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multipleof4andClaude Opus 5.5
967fedfecc
The README already credited AuroraAI-Research and described the ONNX conversion, but *.md is excluded from the Docker image, so the image shipped the license without the attribution or the statement of changes that Apache-2.0 asks for with modified files. model/NOTICE carries both and ships in the image alongside model/LICENSE. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
16 lines
964 B
Plaintext
16 lines
964 B
Plaintext
AuroraIMG-6M (ONNX conversion)
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The files in this directory are derived from AuroraIMG-6M by AuroraAI-Research (2026),
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https://huggingface.co/AuroraAI-Research/AuroraIMG-6M, revision 3d66743c3139d034b832a670d067221f5d544bbb,
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licensed under the Apache License, Version 2.0 (see LICENSE in this directory).
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Changes from the original:
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- text_encoder.onnx, denoiser.onnx and decoder.onnx were converted from the original
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diffusion_pytorch_model.safetensors weights to ONNX with scripts/export_onnx.py. The weights are unchanged.
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- decoder.onnx also includes the latent un-normalization (lat_mu, lat_sd from vae/config.json) and the
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output scaling to 0-1 RGB, which the original pipeline.py does outside the VAE.
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- tokenizer.json is copied unchanged from tokenizer/tokenizer.json.
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The model was trained on CC12M (https://huggingface.co/datasets/pixparse/cc12m-wds), which is distributed as
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image URLs and captions; the underlying images carry their own licenses.
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