Views
No views yet
Monster Piano by QVQ 72B
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.pip install monsterpianotransformersudo apt-get install fluidsynthchoco install fluidsynth1# pip package includes a demo Gradio app without audio output
2
3# Please refer to monsterpianotransformer/gradio/app_full.py
4# for a full version with fluidsynth audio output
5
6monsterpianotransformer-gradio1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Print a list of available models
5mpt.load_model('models info')1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model()
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Generate seed MIDI continuation
15output_tokens = mpt.generate(model, input_tokens, num_gen_tokens=600, return_prime=True)
16
17# Save output batch # 0 to MIDI
18mpt.tokens_to_midi(output_tokens[0])1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model()
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Generate long seed MIDI auto-continuation
15output_tokens = mpt.generate_long(model, input_tokens, return_prime=True)
16
17# Save output batch 0 to MIDI
18mpt.tokens_to_midi(output_tokens[0])1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model()
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Inpaint pitches
15output_tokens = mpt.inpaint_pitches(model, input_tokens)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model(model_name='with velocity - 3 epochs')
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Inpaint velocities
15output_tokens = mpt.inpaint_velocities_simple(model, input_tokens)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model(model_name='velocity inpainting - 2 epochs')
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Inpaint velocities
15output_tokens = mpt.inpaint_velocities_seq2seq(model, input_tokens, verbose=True)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model('timings inpainting - 2 epochs')
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Inpaint timings
15output_tokens = mpt.inpaint_timings(model, input_tokens)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model('bridge inpainting - 2 epochs')
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[11][1]
10
11# Load seed MIDI
12input_tokens = mpt.midi_to_tokens(sample_midi_path)
13
14# Inpaint bridge
15output_tokens = mpt.inpaint_bridge(model, input_tokens)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model()
7
8# Generate single chord
9output_tokens = mpt.generate_chord(model)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model('chords progressions - 3 epochs')
7
8# Prime chord(s) as a list of lists of semitones and/or pitches
9prime_chords = [
10 [0],
11 [0, 2],
12 [0, 2, 4],
13 [60],
14 [60, 62]
15 ]
16
17# Convert chords to chords tokens
18chords_tokens = mpt.chords_to_chords_tokens(prime_chords)
19
20# Generate chord progression continuation
21output_tokens = mpt.generate(model, chords_tokens, num_gen_tokens=32, return_prime=True)
22
23# Convert output tokens batch # 0 back to the chords list
24chords_list = mpt.chords_tokens_to_chords(output_tokens[0])1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6model = mpt.load_model('chords texturing - 3 epochs')
7
8# Get sample seed MIDI path
9sample_midi_path = mpt.get_sample_midi_files()[6][1]
10
11# Convert MIDI to chords list
12chords_list = mpt.midi_to_chords(sample_midi_path)
13
14# Texture chords
15output_tokens = mpt.texture_chords(model, chords_list)
16
17# Save output to MIDI
18mpt.tokens_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6cp_model = mpt.load_model('chords progressions - 3 epochs')
7tex_model = mpt.load_model('chords texturing - 3 epochs')
8
9# Prime chord(s) as a list of lists of semitones and/or pitches
10prime_chords = [
11 [0],
12 [0, 2],
13 [0, 2, 4]
14 ]
15
16# Convert chords to chords tokens
17chords_tokens = mpt.chords_to_chords_tokens(prime_chords)
18
19# Generate chords progression continuation
20cp_tokens = mpt.generate(cp_model, chords_tokens, num_gen_tokens=64, return_prime=True)
21
22# Generate pitches for chords in generated chords progression continuation
23output_tokens = mpt.generate_chords_pitches(tex_model, cp_tokens[0])
24
25# Convert output tokens to MIDI
26mpt.chords_pitches_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6cp_model = mpt.load_model('chords progressions - 3 epochs')
7tex_model = mpt.load_model('chords texturing - 3 epochs')
8
9# Get sample seed MIDI path
10sample_midi_path = mpt.get_sample_midi_files()[7][1]
11
12# Load seed MIDI
13chords_tokens = mpt.midi_to_chords(sample_midi_path, return_only_chords=True)
14
15# Generate chords progression continuation
16cp_tokens = mpt.generate(cp_model, chords_tokens[:64], num_gen_tokens=64, return_prime=True)
17
18# Generate pitches for chords in generated chords progression continuation
19output_tokens = mpt.generate_chords_pitches(tex_model, cp_tokens[0])
20
21# Convert output tokens to MIDI
22mpt.chords_pitches_to_midi(output_tokens)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6cp_model = mpt.load_model('chords progressions - 3 epochs')
7tex_model = mpt.load_model('chords texturing - 3 epochs')
8
9# Get sample seed MIDI path
10sample_midi_path = mpt.get_sample_midi_files()[7][1]
11
12# Load seed MIDI
13chords_list = mpt.midi_to_chords(sample_midi_path)
14
15# Number of prime chords
16num_prime_chords = 64
17
18# Create prime chords tokens list
19prime_chords_tokens = [c[0][0] for c in chords_list[:num_prime_chords]]
20
21# Create prime chords pitches list
22prime_chords_pitches = [c[0][1:] for c in chords_list[:num_prime_chords]]
23
24# Generate chords progression continuation
25cp_tokens = mpt.generate(cp_model, prime_chords_tokens, num_gen_tokens=128, return_prime=True)
26
27# Generate pitches for chords in generated chords progression continuation
28output_tokens = mpt.generate_chords_pitches(tex_model, cp_tokens[0], prime_chords_pitches)
29
30# Convert output tokens to MIDI
31mpt.chords_pitches_to_midi(output_tokens, chords_list)1# Import Monster Piano Transformer as mpt
2import monsterpianotransformer as mpt
3
4# Load desired Monster Piano Transformer model
5# There are several to choose from...
6cp_model = mpt.load_model('chords progressions - 3 epochs')
7tex_model = mpt.load_model('chords texturing - 3 epochs')
8tim_model = mpt.load_model('timings inpainting - 2 epochs')
9
10# Prime chord(s) as a list of lists of semitones and/or pitches
11prime_chords = [
12 [0],
13 [0, 2],
14 [0, 2, 4]
15 ]
16
17# Convert chords to chords tokens
18chords_tokens = mpt.chords_to_chords_tokens(prime_chords)
19
20# Generate chords progression continuation
21cp_tokens = mpt.generate(cp_model, chords_tokens, num_gen_tokens=64, return_prime=True)
22
23# Generate pitches for chords in generated chords progression continuation
24cptcs_tokens = mpt.generate_chords_pitches(tex_model, cp_tokens[0], return_as_tokens_seq=True)
25
26# Inpaint timings
27output_tokens = mpt.inpaint_timings(tim_model, cptcs_tokens)
28
29# Save output to MIDI
30mpt.tokens_to_midi(output_tokens)1# You can manually create compatible input tokens sequence, chords list and pitches list
2# from a simple notes list
3
4# Import Monster Piano Transformer as mpt
5import monsterpianotransformer as mpt
6
7# Custom notes list should be in the following format:
8# [delta start time (0-127), duration (1-127), MIDI pitch (1-127)), velocity (1-127)]
9sample_notes_list = [
10
11[0, 70, 84, 84], [0, 70, 72, 72], [0, 70, 72, 115], [0, 70, 67, 67], [0, 70, 64, 64],
12[0, 70, 60, 60], [0, 70, 55, 55], [0, 70, 52, 52], [0, 70, 48, 48], [0, 70, 36, 40],
13[0, 70, 24, 120], [82, 11, 79, 79], [0, 11, 67, 67], [0, 11, 67, 122], [0, 11, 64, 64],
14[0, 11, 52, 52], [0, 11, 28, 116], [11, 23, 84, 84], [0, 23, 72, 72], [0, 23, 72, 115],
15[0, 23, 67, 67], [0, 23, 60, 60], [0, 23, 55, 55], [0, 23, 52, 52], [0, 23, 48, 48],
16[0, 23, 24, 120], [24, 17, 79, 79], [0, 17, 67, 67], [0, 17, 67, 122], [0, 17, 64, 64],
17[0, 17, 60, 60], [0, 17, 55, 55], [0, 17, 52, 52], [0, 17, 48, 48], [0, 17, 24, 120],
18[17, 5, 81, 81], [0, 5, 69, 69], [0, 5, 69, 124], [0, 5, 65, 65], [0, 5, 53, 53], [0, 5, 29, 115],
19[6, 23, 83, 83], [0, 23, 71, 71], [0, 23, 71, 126], [0, 23, 67, 67], [0, 23, 59, 59],
20[0, 23, 55, 55], [0, 23, 50, 50], [0, 23, 47, 47], [0, 23, 43, 43], [0, 23, 31, 113]
21
22]
23
24# Use notes_list_to_tokens_chords_pitches function to convert the notes list
25output = mpt.notes_list_to_tokens_chords_pitches(sample_notes_list)
26
27input_tokens = output[0]
28chords_tokens = output[1]
29pitches_list = output[2]
30chords_list = output[3]1# You can load and use one or several models at the time
2
3# Default model (without velocity - 3 epochs)
4default_model = mpt.load_model()
5
6# More models...
7cp_model = mpt.load_model('chords progressions - 3 epochs')
8tex_model = mpt.load_model('chords texturing - 3 epochs')
9tim_model = mpt.load_model('timings inpainting - 2 epochs')1# Dev models parameters can be accessed like so
2
3# Max sequence length
4default_model.max_seq_len
5
6# Max number of tokens
7default_model.pad_value1# Use generate or generate long functions for dev or testing with all models
2
3# Just make sure to prime the models with at least one token within its tokens range
4default_output = mpt.generate(default_model, input_tokens=[0], num_gen_tokens=32)
5tex_output = mpt.generate_long(tex_model, input_tokens=[0], num_gen_tokens=32)