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HKUSTAudio
/
AudioX

Text-to-Audio
Stable Audio Tools
diffusion_cond
audio-generation
music-generation
Model card Files Files and versions
xet
Community
6

Instructions to use HKUSTAudio/AudioX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Stable Audio Tools

    How to use HKUSTAudio/AudioX with Stable Audio Tools:

    import torch
    import torchaudio
    from einops import rearrange
    from stable_audio_tools import get_pretrained_model
    from stable_audio_tools.inference.generation import generate_diffusion_cond
    
    device = "cuda" if torch.cuda.is_available() else "cpu"
    
    # Download model
    model, model_config = get_pretrained_model("HKUSTAudio/AudioX")
    sample_rate = model_config["sample_rate"]
    sample_size = model_config["sample_size"]
    
    model = model.to(device)
    
    # Set up text and timing conditioning
    conditioning = [{
    	"prompt": "128 BPM tech house drum loop",
    }]
    
    # Generate stereo audio
    output = generate_diffusion_cond(
    	model,
    	conditioning=conditioning,
    	sample_size=sample_size,
    	device=device
    )
    
    # Rearrange audio batch to a single sequence
    output = rearrange(output, "b d n -> d (b n)")
    
    # Peak normalize, clip, convert to int16, and save to file
    output = output.to(torch.float32).div(torch.max(torch.abs(output))).clamp(-1, 1).mul(32767).to(torch.int16).cpu()
    torchaudio.save("output.wav", output, sample_rate)
  • Notebooks
  • Google Colab
  • Kaggle
AudioX / stable_audio_tools /models
322 kB
Ctrl+K
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  • 1 contributor
History: 1 commit
Zeyue7's picture
Zeyue7
AudioX
80fc359 about 1 year ago
  • __init__.py
    76 Bytes
    AudioX about 1 year ago
  • adp.py
    55.4 kB
    AudioX about 1 year ago
  • autoencoders.py
    32.2 kB
    AudioX about 1 year ago
  • blocks.py
    11.5 kB
    AudioX about 1 year ago
  • bottleneck.py
    10.5 kB
    AudioX about 1 year ago
  • codebook_patterns.py
    28.2 kB
    AudioX about 1 year ago
  • conditioners.py
    28.3 kB
    AudioX about 1 year ago
  • diffusion.py
    25.1 kB
    AudioX about 1 year ago
  • discriminators.py
    17.6 kB
    AudioX about 1 year ago
  • dit.py
    14.8 kB
    AudioX about 1 year ago
  • factory.py
    6.3 kB
    AudioX about 1 year ago
  • lm.py
    21.6 kB
    AudioX about 1 year ago
  • local_attention.py
    8.29 kB
    AudioX about 1 year ago
  • pqmf.py
    13.2 kB
    AudioX about 1 year ago
  • pretrained.py
    831 Bytes
    AudioX about 1 year ago
  • pretransforms.py
    8.44 kB
    AudioX about 1 year ago
  • temptransformer.py
    6.32 kB
    AudioX about 1 year ago
  • transformer.py
    26.4 kB
    AudioX about 1 year ago
  • utils.py
    3.48 kB
    AudioX about 1 year ago
  • wavelets.py
    3.24 kB
    AudioX about 1 year ago