Instructions to use stabilityai/stable-audio-open-1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Stable Audio Tools
How to use stabilityai/stable-audio-open-1.0 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("stabilityai/stable-audio-open-1.0") 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
I made a colab for Stable Audio Open - What option should I add?
#15
by QES - opened
https://colab.research.google.com/drive/1n5_QqE4QaOlTouRbgHKFADgBPHS0HZue?usp=sharing
QES Music Machine with Stable Audio Open
Google Drive Integration
Dynamic Prompting
Batch Mode
File Formats (WAV, FLAC, MP4)
(a fork by Quick-Eyed Sky)
Dynamic Prompting allows you to randomly select words from lists written within curly braces:
e.g. "New Wave Chorus with { slow | fast } { drum | trumpet }". Each option within the braces should be separated by a "|".
https://huggingface.co/stabilityai/stable-audio-open-1.0 for more details.
Just "Run All". Cancel the "Restart" message.
Fine tuning
It looks like link is broken