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README.md

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@@ -41,28 +41,11 @@ https://github.com/GuitarML/SmartGuitarPedal
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Note: Make sure to build in Release mode unless actually debugging. Debug mode will not keep up with real time playing.
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## Using your own trained models
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The .json models are baked into the executable when you compile the SmartAmp. Separate models are used for clean and lead channels.
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To swap out the default models with your own, do the following steps:
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1. Open up the project in Projucer and add your json models as a Resource. Right click "Resources", add existing files, and make sure to check "Binary Resource".
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2. Open the Visual Studio solution (or other target IDE). You should see the new .json model files under "Resources" in the solution explorer.
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3. Open PluginProcessor.cpp and edit lines 208 or 219 (this determines which model is used on the Lead or Clean channel):
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```
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(208) WaveNetLoader loader2(BinaryData::bluej_fullD_p0153_json); -->
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WaveNetLoader loader2(BinaryData::YOUR_NEW_LEAD_MODEL_json);
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(219) WaveNetLoader loader2(BinaryData::bluej_clean_p0088_json); -->
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WaveNetLoader loader2(BinaryData::YOUR_NEW_CLEAN_MODEL_json);
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```
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Where "YOUR_NEW...MODEL" is filename of your json file. You can edit either one, or both, but keep in mind they are separately trained models.
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4. Build SmartAmp in Release mode.
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Note: When using different models from the default, you may want to modify the gain/volume knob ranges in the PluginEditor.cpp to suit the levels of the trained model.
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## Using your own custom trained models (or models from the TonePack)
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Use the "Load Tone" button in the plugin to load tone models trained with PedalNetRT. The current channel's
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EQ/gain will be applied to the custom tone. Switching the clean/lead channel unloads the custom tone and
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reloads the channel's default tone.
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## License
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This project is licensed under the Apache License, Version 2.0 - see the [LICENSE](LICENSE) file for details.

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