3 min to read
Text-to-audio generation is revolutionizing industries from entertainment to education. YuE-7B, developed by DeCLaRe Lab, stands out with its Flow Matching and Clap-Ranked Preference Optimization (CRPO) techniques.
Unlike standard models, it generates studio-quality 44.1 kHz audio in seconds—perfect for creators, educators, and developers. Whether you're designing soundscapes for games or enhancing e-learning tools, this guide unlocks YuE-7B’s potential on macOS.
Ensure smooth installation with these specs:
Pro Tip: Update Xcode Command Line Tools for Homebrew:
xcode-select --install
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew install python
# Verify installation
python3 --version # Should show 3.7+
python3 -m venv YuE-7B-env
source YuE-7B-env/bin/activate
Optimized for Apple Silicon (M1/M2):
pip install torch torchaudio transformers --extra-index-url https://download.pytorch.org/whl/cpu
pip install git+https://github.com/declare-lab/YuE-7B
Create test_yue.py
and paste:
import torchaudio
from YuE-7B import YuE-7BInference
model = YuE-7BInference(name='declare-lab/YuE-7B')
audio = model.generate('Raindrops falling on a tin roof', steps=50, duration=10)
torchaudio.save('rain.wav', audio.unsqueeze(0), 44100)
Run:
python test_yue.py
Success? You’ll find rain.wav
in your folder. If not, skip to troubleshooting.
Key Advantage: Generates 30-second audio clips in under 10 seconds on an M2 Mac.
from YuE-7B import YuE-7BInference
import torchaudio
model = YuE-7BInference(name='declare-lab/YuE-7B')
# Adjust parameters for quality/speed trade-off
audio = model.generate(
'A cat purring softly while fireplace crackles',
steps=100, # Higher steps = better quality
duration=15 # Up to 30 seconds
)
torchaudio.save('cozy_ambience.wav', audio.unsqueeze(0), 44100)
YuE-7B "Spaceship engine humming in sci-fi movie" spaceship.wav --duration 20 --steps 75
steps
(up to 200) for complex sounds like orchestral pieces.On M1/M2 Macs, enable Metal Performance Shaders:
model = YuE-7BInference(..., device='mps') # Add to your Python script
YuE-7B is a powerful tool that brings high-quality text-to-audio generation to developers, creators, and researchers. As AI-driven audio synthesis continues to evolve, YuE-7B paves the way for next-generation sound design, storytelling, and educational tools.
Whether you’re looking to enhance your projects with realistic soundscapes or create innovative auditory experiences, mastering YuE-7B opens up limitless possibilities.
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