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explicate chaiNNer incompatibility
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@ -4,7 +4,7 @@ This guide explains how you can convert PyTorch models to NCNN models for Upscay
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> Only PyTorch models for ESRGAN are guaranteed to work. You can use a similar process for ONNX models (use onnxsim to simplify the model, install ONNX in dependencies and replace the orange blocks with their cyan equivalents), but it can often fail.
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## Prerequisites
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- [chaiNNer](https://github.com/chaiNNer-org/chaiNNer/releases/tag/v0.21.0) (Versions after v0.21.0 seem to not work)
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- [chaiNNer](https://github.com/chaiNNer-org/chaiNNer/releases/tag/v0.21.0) (Versions after v0.21.0 currently don't work due to an outdated library used by our CLI)
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- [This .chn file](https://gist.github.com/aaronliu0130/38b996f360dfee86d71130f129920f3a/raw/f06e711e03a4a239e6dc041fadf890a26fdd979a/pth2bin.chn). Right click the link, click "Save link as" and save it wherever you want.
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- A model in PyTorch (.pth) format. This guide is for converting PyTorch to NCNN (Upscayl's format) only.
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- You can get models from <https://openmodeldb.info/?t=arch%3Aesrgan>.
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