PiPedal 2.0 is a big release, with exciting new features, improvements, and bug fixes.
The headline feature of PiPedal 2.0 is support for TooB Neural Amp Modeler A2 models. TooB Neural Amp Modeler A2 models provide significant improvements in sound quality and performance compared to NAM A1 models, while consuming significantly less CPU resources. This is particularly important for users of Raspberry Pi 4, since it allows Pi 4 users to use an additional NAM instance in a preset.
PiPedal 2.0 connects to Tone3000.com web services, so that you can download Tone3000 NAM models and IRs directly to the PiPedal server, without ever having to leave the PiPedal web application interface. All existing NAM A1 models on Tone3000 have been retrained for NAM A2. When you download from Tone3000 using the integrated downloader, you will get NAM A2 models. Just click on the DOWNLOAD MODELS FROM TONE3000 button in the File Selection dialog for Toob Neural Amp Modeler, in order to download NAM A2 models directly
to the PiPedal server.
Currently, the best way to get access to NAM A2 models is via the integrated Tone3000 model downloader. Models downloaded externally from the Tone3000 website will still be NAM A1 models; however this should change soon with a forthcoming announcement from Tone3000.
PiPedal 2.0 has a (long overdue) new Factory Presets bank. These are also the set of presets that are included in the Default Bank when performing a clean install of PiPedal 2.0. The new Factory Presets are built around a small selection of NAM A2 models that show off the improved sound quality and performance of NAM A2. And a small selection of NAM A2 models are also bundled with PiPedal.
PiPedal 2.0 can now be installed as a Progressive Web Application (PWA). This allows you to launch Pipedal from your desktop as a native desktop application, without extra browser address bars and window decorations. This provides a much nicer experience when using PiPedal from a Windows or Apple device.
Features
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Support for Neural Amp Modeler A2 models. The latest version of the TooB Neural Amp Modeler plugin now supports NAM A2 models, which provide improved performance and sound quality compared to older NAM A1 models.
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Download Tone3000 NAM models and IIR files directly to the PiPedal server. Click on the DOWNLOAD MODELS FROM TONE3000 button in the TooB Neural Amp Modeler plugin's file selection dialog to download the latest NAM A2 models.
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New Channel Routing Dialog. Configure Auxiliary pass-through channels, or use un otherwise unused channel to pass through unprocessed guitar input for later re-amping in a DAW.
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Install PiPedal as a Progressive Web Application (PWA), which allows you to launch PiPedal from your desktop as a native desktop application. (A nice feature if you are accessing Pipedal from a Windows or Apple device).
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New Factory Presets bank, with presets that show off the improved sound quality and performance of NAM A2 models.
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New TooB Tone plugin: a simple one-knob tone control. The new TooB Tone plugin provides a simple one-knob tone control that can be used to adjust the overall tone of your guitar signal. It is a great tool for quickly shaping your tone without having to use a more complex EQ plugin.
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Copy and Paste plugins (and their settings) between pedalboards. Accessible via the "Copy Plugin" and "Paste Plugin" menu items in the former Plugin Preset selector menu.
Miscellaneous features and bug fixes
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Runtime detection and use of AVX extensions for TooB plugins. Reduces CPU use of TooB NAM by 50% on most x86_64/amd64 computers.
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Better handling of step sizes in numeric edit controls.
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Split controls now support double-tap to reset to a default value. (Other controls already support this feature).
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Many small tweaks and improvements to the Pipedal user interface.
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Fixes problems with Tone3000 direct downloading when using a .local address to connect to the PiPedal server.
.asc files are gpg digital signatures for the corresponding .deb files.
Files are signed with the following key:
PiPedal Project <rerdavies@gmail.com> - 2D1F 39DB B1F8 1941 2B67 8F88 E9D7 081E 08E3 D85C