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36 lines
3.1 KiB
Markdown
36 lines
3.1 KiB
Markdown
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This guide explains how you can convert PyTorch models to NCNN models for Upscayl.
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> [!IMPORTANT]
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> Only PyTorch models 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)
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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/>.
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- A Text Editor
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## Steps
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1. Open chaiNNer and inside its dependency manager (the download button in the top right corner) install PyTorch and NCNN. ONNX is optional.
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2. Set the correct GPU under the ONNX tab of the settings if you can.
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3. Load the .chn file you downloaded in the Prerequisites section by clicking File → Open in chaiNNer.
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4. Select the .pth model you want to convert by clicking the button that says "Click to select a file...".
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5. Select an output folder under "Base Directory".
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6. Name that model by typing under "Param/Bin Name".
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7. Press the Run button (▶️) on top of the window or press F5 on your keyboard.
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8. Wait for chaiNNer to finish converting. You'll get 2 files: a .bin and a .param
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9. Open the .param file and change the first "input" on the second column and all "input"s (usually 2) in the third column to "data".
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10. Save the .param file and copy the .param and .bin file to your custom models folder named 'models'. If you don't have one, create it.
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11. Open Upscayl and go to Settings → Add custom models and select your custom models folder.
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12. Your model should now appear at the bottom of your models list.
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13. Happy Upscayling 😄
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