Inspire Music
The Next Generation AI Music Creation Toolkit
Inspire Music revolutionizes the way we create and generate music using artificial intelligence
Why Choose InspireMusic?
Unified Framework
InspireMusic provides a comprehensive solution for music, song, and audio generation using PyTorch
Controllable Generation
Inspire Music enables precise control through text prompts, music genres, and structures
High Quality Audio
Generate professional-grade music with InspireMusic's text-to-music and continuation capabilities
Easy Fine-tuning
Inspire Music offers convenient scripts and strategies for model fine-tuning and inference
InspireMusic Model Collection
Explore the powerful pre-trained models available in the Inspire Music ecosystem
| Model Name | Description |
|---|---|
| InspireMusic-Base | The foundational music generation model by Inspire Music, supporting 24kHz mono output |
| InspireMusic-1.5B | Advanced 1.5B parameter model for enhanced music generation capabilities |
| InspireSong-Base | Specialized model for song generation in the Inspire Music framework |
Getting Started with InspireMusic
Begin your journey with Inspire Music in just a few simple steps:
git clone --recursive https://github.com/FunAudioLLM/InspireMusic.git
cd InspireMusic
conda create -n inspiremusic python=3.8
conda activate inspiremusic
pip install -r requirements.txtInspireMusic Tutorial
1. Basic Music Generation
from inspiremusic import MusicGenerator
# Initialize the generator
generator = MusicGenerator.from_pretrained('inspiremusic-base')
# Generate music from text
music = generator.generate(
prompt="A peaceful piano melody with soft strings",
duration_seconds=30
)
music.save("output.wav")Generate your first piece of music using text prompts to control the style and mood.
2. Song Generation with Lyrics
from inspiremusic import SongGenerator
generator = SongGenerator.from_pretrained('inspiresong-base')
# Generate a song with lyrics
song = generator.generate(
lyrics="Your lyrics here",
genre="pop",
tempo=120
)
song.save("song.wav")Create complete songs with lyrics using InspireSong models.
3. Fine-tuning Models
from inspiremusic import MusicTrainer
trainer = MusicTrainer(
model="inspiremusic-base",
dataset_path="your/music/dataset",
output_dir="fine_tuned_model"
)
trainer.train(
epochs=10,
batch_size=16,
learning_rate=1e-4
)Customize InspireMusic models with your own music dataset.
4. Advanced Controls
music = generator.generate(
prompt="Epic orchestral theme",
duration_seconds=60,
temperature=0.8,
genre="classical",
instruments=["strings", "brass", "percussion"],
structure={
"intro": 10,
"main_theme": 30,
"bridge": 10,
"outro": 10
}
)Explore advanced generation controls for precise music creation.
Frequently Asked Questions about InspireMusic
What is InspireMusic?
InspireMusic is a state-of-the-art AI music generation toolkit that enables users to create music using artificial intelligence. It provides a comprehensive framework for generating music, songs, and audio using PyTorch.
What can I create with Inspire Music?
With Inspire Music, you can generate various types of music including instrumental pieces, songs, and audio sequences. The toolkit supports text-to-music generation, music continuation, and controlled generation based on specific genres and structures.
Do I need programming experience to use InspireMusic?
Basic Python programming knowledge is helpful for using InspireMusic. However, we provide comprehensive documentation and examples to help users get started, regardless of their experience level.
What are the system requirements for Inspire Music?
InspireMusic requires Python 3.8 or later, PyTorch, and sufficient GPU memory for model inference. Detailed requirements can be found in our documentation.
Can I fine-tune InspireMusic models on my own data?
Yes, InspireMusic provides convenient scripts and strategies for fine-tuning models on your own music datasets. This allows you to create custom models tailored to specific musical styles or requirements.
Is InspireMusic free to use?
Yes, InspireMusic is open-source and licensed under Apache-2.0. You can freely use it for both personal and commercial projects, subject to the license terms.
Join the InspireMusic Community
Connect with Inspire Music developers and users to share experiences and get support