Magenta RealTime 2 - ONNX conversion (mirror)

• Model: Magenta RealTime 2 (c) Google DeepMind
• License: Creative Commons Attribution 4.0 International (CC-BY-4.0) - https://creativecommons.org/licenses/by/4.0/legalcode
• Changes: these files are an ONNX conversion of the original JAX/Flax weights (the upstream release ships no ONNX). Converted for on-device ONNX Runtime inference.
• Responsible use: use these materials responsibly; do not generate content that infringes the rights of others. Google claims no rights in outputs you generate.

Layout

mrt2_small/  manifest.json  NOTICE  LICENSE-CC-BY-4.0.txt
             main_trans.onnx(+.data)  noise.onnx  main_dec.onnx(+.data)  encoder.onnx(+.data)
             cpp_duo_violin/  index.json  state_*.bin  ...
mrt2_base/   (same file set, base-sized transformer)

Note on mrt2_base

2 GB graph directly, so a downloaded mrt2_base still requires a machine-local TensorRT engine build on first load. mrt2_small loads directly (download, then play).