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-25.1.39.tar.gz (730.5 kB view details)

Uploaded Source

Built Distribution

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

monsterpianotransformer-25.1.39-py3-none-any.whl (738.1 kB view details)

Uploaded Python 3

File details

Details for the file monsterpianotransformer-25.1.39.tar.gz.

File metadata

File hashes

Hashes for monsterpianotransformer-25.1.39.tar.gz
Algorithm Hash digest
SHA256 a95a8809b4a90dc38bbf86aaadc00ea1d571e1a321f69bcc09eaa7664b6c54a2
MD5 edc8f5f8ebd214943e9c9fa8c039b087
BLAKE2b-256 4c79f781306e1ab92b295f5cb99ad378ba5d0d1b2cf5927dac17dde3457510be

See more details on using hashes here.

File details

Details for the file monsterpianotransformer-25.1.39-py3-none-any.whl.

File metadata

File hashes

Hashes for monsterpianotransformer-25.1.39-py3-none-any.whl
Algorithm Hash digest
SHA256 d59f076ede9974dc223af97621c7d3b96e72abbddede8374622c41c2d381fc9e
MD5 d461385edaa6be1c6039eee9efb90a67
BLAKE2b-256 1dfaeea90868317bac0a6dd3f3737ad4a0a7efbeade48b3e39b08dc1596d582d

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