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bachground/
t2p

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BachGround Text to Piano

This Hugging Face repository contains the public model artifacts for the BachGround text-to-piano pipeline.

The pipeline has two stages:

a Llama 3.1 based adapter that generates base symbolic piano tokens from text
a complementary transformer that predicts duration and velocity tokens to enrich the base sequence before MIDI rendering

Repository Layout

models/t2p_base Llama-based adapter files and tokenizer assets
models/complementary_transformer Complementary transformer code and trained duration/velocity models
scripts/infer_music_full_pipeline.py End-to-end prompt -> base tokens -> enrichment -> MIDI pipeline
scripts/infer_llama_music.py Optional standalone base-model inference
scripts/midi_to_mp3.py Optional MIDI to MP3 rendering utility

Usage

Use the end-to-end pipeline script for the normal inference path:

bash

python3 scripts/infer_music_full_pipeline.py \
  --llama-model-dir models/t2p_base \
  --duration-model-dir models/complementary_transformer/models/duration \
  --velocity-model-dir models/complementary_transformer/models/velocity \
  --prompt "A calm piano melody in C major" \
  --output-dir pipeline_out \
  --do-sample \
  --temperature 0.9 \
  --top-p 0.9 \
  --max-new-tokens 450

License Breakdown

This repository uses the llama3.1 Hugging Face license tag because it contains a Llama 3.1-derived adapter.

Artifact-level intent:

models/t2p_base/* Subject to the applicable Llama 3.1 license terms
models/complementary_transformer/* Intended to be released under separate terms; see the component README before public release

Notes

This repository is designed for inference and artifact distribution.
Training datasets are not included.
If you later decide to separate the weights into multiple Hugging Face repositories, keep this README as the umbrella project card and link out to the split repos.

bachground/t2p