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Excited to say that the Seed pedal is now fully open source, from the code to the UV printing files: https://github.com/GuitarML/Seed There is a .bin download in the releases section, so if you have a Terrarium you can try it out right away. Enjoy!

For anyone else that has one of the 125b oled pedals, I wrote a reverb/delay effect module that I’d like to share, you can get the compiled binary here: https://github.com/GuitarML/DaisySeedProjects/releases/tag/v1.0 It’s a stereo reverb / delay that has tap tempo control, reverse, octave (and...

Looks sharp! Where are the knobs from? Yeah the more I work with the Daisy Seed the more I realize how powerful of a pedal platform it is, and for relatively cheap. I think a lot more people will be checking out c++ tutorials on Youtube!

The Rhythmic Delay is a fun one! Yeah building the .bin's yourself for the Daisy Seed isn't too bad, install the toolchain from the Daisy Wiki and run "make" where the "makefile"/code is located from a terminal/command line window, or use an IDE like Visual Studio Code. With as simple as most...

I can confirm that the 125B OLED model is a really cool platform for developing effects! The creator reached out and mailed me one for prototyping. It really is remarkable that he shared the entire design as open source, I've only scratched the surface of what's possible with that unit. For...

Yeah I'm using the smaller L78L05 regulator too, so probably not the cause. I would be curious to know why some builds have the noise and some don't. Word is that Electro-smith is working on a new revision of the Seed to optimize for guitar input/outputs, so I'll be keeping an eye out for that.

Yes, it defaults to 48 block size, 4 is fairly small. This is the number of samples processed at a time before it converts the digital signal to analog. Usually the smaller the better, as it reduces latency, I just left as the default, I don’t remember if it could handle any lower or not. For...

Digging through old threads, was this ever completed?

Oh right a knew I was forgetting something, gut shot on this Reddit post: Pretty much the same as any other Terrarium gut shot. And thanks! The coding was done in c++ using Electrosmith’s libdaisy and DaisySP frameworks, and RTNeural for the neural net processing, all open source on GitHub.

Seed is a digital multi effect guitar pedal using the Terrarium platform. I use Neural network (A.I.) tech to emulate real amps and pedals, and also add reverb, delay, tremolo, and my favorite part, a reversible looper. The devices emulated with neural models are (as they appear in order in the...

5 was the max I was able to run without getting buffer underruns, so it would take some optimizing of the code to run more. That’s a good idea for controlling them though!

30 knobs, plus settings for random seeds and delay line count. Here is the original plugin for reference, there’s a picture of it shown: https://github.com/ValdemarOrn/CloudSeed

I just finished up a port of Cloud Seed to the Terrarium, and wanted to share. Cloud Seed is an algorithmic (as opposed to convolution) open source reverb plugin, released under the MIT license. I was amazed when I first tried out the plugin, it seems comparable in sound quality to some of the...

That’s awesome! You’re the first person I’ve heard back from on building it, let me know if you have any suggestions! Planning on improving it, for instance I’m not fully happy with the wet/dry mix, also would like to experiment with different params for the EQ switches.

If anyone is interested in using A.I. tech on the Daisy Seed, here is my example project using a neural net to emulate real amps and pedals. The code is all open source on Github: https://github.com/GuitarML/NeuralSeed I posted my Neural Seed project in the Build Reports section earlier but...

I just finished a project using the Terrarium pedal (powered by the Daisy Seed digital board), which uses neural networks to emulate real amps and pedals. Similar in concept to Kemper/ToneX/NeuralDSP but scaled down to an inexpensive DIY platform (total cost was around $100). The code is open...