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
TransformerBlock.forward() got unexpected keyword 'seconds_total'
Please help.. Getting this error when running inference.. not sure why this is coming up when I just took the example form the model card..
getting this same error on python 3.8 as well would appreciate any help can't figure out why I'm getting this error :(
Verified that torch.cuda.is_available() showing up as true and can see the model loaded in VRAM (A10G)
Full error: Traceback (most recent call last): ... File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/stable_audio_tools/models/transformer.py", line 795, in forward x = checkpoint(layer, x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/stable_audio_tools/models/transformer.py", line 27, in checkpoint return torch.utils.checkpoint.checkpoint(function, *args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/_compile.py", line 24, in inner return torch._dynamo.disable(fn, recursive)(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 451, in _fn return fn(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/_dynamo/external_utils.py", line 36, in inner return fn(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/utils/checkpoint.py", line 494, in checkpoint ret = function(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1532, in _wrapped_call_impl return self._call_impl(*args, **kwargs) File "/opt/conda/envs/audio/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1541, in _call_impl return forward_call(*args, **kwargs) TypeError: TransformerBlock.forward() got an unexpected keyword argument 'seconds_total'