Skip to main content

Ultra-fast and very well fitted solo Piano music transformer

Project description

Monster Piano Transformer

Ultra-fast and very well fitted solo Piano music transformer

Monster-Piano-Logo


In the heart of a grand piano black and blue,  
A fuzzy monster with eyes of yellow hue,  
Its fingers dance upon the ivory keys,  
Weaving melodies that soothe and please.  

Musical notes float like leaves on breeze,  
Harmony fills the air with gentle ease,  
Each key stroke a word in a song unsung,  
A symphony of joy that sets the heart alight, free and light.  

The monster plays with such delight,  
Lost in the rhythm, lost in the light,  
Its fur a blur as it moves with grace,  
A pianist born from a whimsical place.  

Monster Piano, a title it bears,  
A fusion of art and melodic airs,  
Where creativity and music blend,  
In this magical concert that never ends.  

Let the monster's music fill the air,  
And wash away our every care,  
For in its song, we find repose,  
And in its rhythm, our spirits glow.

Install

pip install monsterpianotransformer

(Optional) FluidSynth for MIDI to Audio functinality

Ubuntu or Debian
sudo apt-get install fluidsynth
Windows (with Chocolatey)
choco install fluidsynth

Quick-start use example

# Import Monster Piano Transformer as mpt
import monsterpianotransformer as mpt

# Load desired Monster Piano Transformer model
# There are several to choose from...
model = mpt.load_model()

# Get sample seed MIDI path
sample_midi_path = mpt.get_sample_midi_files()[6][1]

# Load seed MIDI
input_tokens = mpt.midi_to_tokens(sample_midi_path, model_with_velocity=False)

# Generate seed MIDI continuation
output_tokens = mpt.generate(model, input_tokens, 600, return_prime=True)

# Save output batch 0 to MIDI
mpt.tokens_to_midi(output_tokens[0], model_with_velocity=False)

Main features use examples

Long auto-continuation generation

# Import Monster Piano Transformer as mpt
import monsterpianotransformer as mpt

# Load desired Monster Piano Transformer model
# There are several to choose from...
model = mpt.load_model()

# Get sample seed MIDI path
sample_midi_path = mpt.get_sample_midi_files()[6][1]

# Load seed MIDI
input_tokens = mpt.midi_to_tokens(sample_midi_path, model_with_velocity=False)

# Generate long seed MIDI auto-continuation
output_tokens = mpt.generate_long(model, input_tokens, return_prime=True)

# Save output batch 0 to MIDI
mpt.tokens_to_midi(output_tokens[0], model_with_velocity=False)

Pitches inpainting

# Import Monster Piano Transformer as mpt
import monsterpianotransformer as mpt

# Load desired Monster Piano Transformer model
# There are several to choose from...
model = mpt.load_model()

# Get sample seed MIDI path
sample_midi_path = mpt.get_sample_midi_files()[6][1]

# Load seed MIDI
input_tokens = mpt.midi_to_tokens(sample_midi_path, model_with_velocity=False)

# Inpaint pitches
output_tokens = mpt.inpaint_pitches(model, input_tokens)

# Save output to MIDI
mpt.tokens_to_midi(output_tokens, model_with_velocity=False)

Simple velocities inpainting

# Import Monster Piano Transformer as mpt
import monsterpianotransformer as mpt

# Load desired Monster Piano Transformer model
# There are several to choose from...
model = mpt.load_model(model_name='with velocity - 3 epochs')

# Get sample seed MIDI path
sample_midi_path = mpt.get_sample_midi_files()[6][1]

# Load seed MIDI
input_tokens = mpt.midi_to_tokens(sample_midi_path, model_with_velocity=True)

# Inpaint velocities
output_tokens = mpt.inpaint_velocities_simple(model, input_tokens)

# Save output to MIDI
mpt.tokens_to_midi(output_tokens, model_with_velocity=True)

Seq2Seq velocities inpainting

# Import Monster Piano Transformer as mpt
import monsterpianotransformer as mpt

# Load desired Monster Piano Transformer model
# There are several to choose from...
model = mpt.load_model(model_name='velocity inpainting - 3 epochs')

# Get sample seed MIDI path
sample_midi_path = mpt.get_sample_midi_files()[6][1]

# Load seed MIDI
input_tokens = mpt.midi_to_tokens(sample_midi_path, model_with_velocity=True)

# Inpaint velocities
output_tokens = mpt.inpaint_velocities_seq2seq(model, input_tokens, verbose=True)

# Save output to MIDI
mpt.tokens_to_midi(output_tokens, model_with_velocity=True)

Project Los Angeles

Tegridy Code 2025

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

monsterpianotransformer-25.1.36.tar.gz (729.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

monsterpianotransformer-25.1.36-py3-none-any.whl (736.9 kB view details)

Uploaded Python 3

File details

Details for the file monsterpianotransformer-25.1.36.tar.gz.

File metadata

File hashes

Hashes for monsterpianotransformer-25.1.36.tar.gz
Algorithm Hash digest
SHA256 1f7edbf520c57ffaaf6edfd5fb0b1ec0ebe2cb2aa983776e4089059fee8a0d9f
MD5 fb35c839e870f2517f8b5125ecae5efe
BLAKE2b-256 633884c7793c96ba50cfd09740c34ebc380934a7ff5b539730e339b0bab7e6c7

See more details on using hashes here.

File details

Details for the file monsterpianotransformer-25.1.36-py3-none-any.whl.

File metadata

File hashes

Hashes for monsterpianotransformer-25.1.36-py3-none-any.whl
Algorithm Hash digest
SHA256 f4b8c78a49c45c44e336567acc3732cce8e9fb6a788e80bd5fc3fe0a48ce4fcd
MD5 d43b446be092f02db217d95fe88bff7f
BLAKE2b-256 0a934f5529426435669915d558a21c25824a305fd8a6725c1e22c733b073724c

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page