Instructions to use cudabenchmarktest/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 cudabenchmarktest/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("cudabenchmarktest/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
| { | |
| "model_type": "diffusion_cond", | |
| "sample_size": 2097152, | |
| "sample_rate": 44100, | |
| "audio_channels": 2, | |
| "model": { | |
| "pretransform": { | |
| "type": "autoencoder", | |
| "iterate_batch": true, | |
| "config": { | |
| "encoder": { | |
| "type": "oobleck", | |
| "requires_grad": false, | |
| "config": { | |
| "in_channels": 2, | |
| "channels": 128, | |
| "c_mults": [1, 2, 4, 8, 16], | |
| "strides": [2, 4, 4, 8, 8], | |
| "latent_dim": 128, | |
| "use_snake": true | |
| } | |
| }, | |
| "decoder": { | |
| "type": "oobleck", | |
| "config": { | |
| "out_channels": 2, | |
| "channels": 128, | |
| "c_mults": [1, 2, 4, 8, 16], | |
| "strides": [2, 4, 4, 8, 8], | |
| "latent_dim": 64, | |
| "use_snake": true, | |
| "final_tanh": false | |
| } | |
| }, | |
| "bottleneck": { | |
| "type": "vae" | |
| }, | |
| "latent_dim": 64, | |
| "downsampling_ratio": 2048, | |
| "io_channels": 2 | |
| } | |
| }, | |
| "conditioning": { | |
| "configs": [ | |
| { | |
| "id": "prompt", | |
| "type": "t5", | |
| "config": { | |
| "t5_model_name": "t5-base", | |
| "max_length": 128 | |
| } | |
| }, | |
| { | |
| "id": "seconds_start", | |
| "type": "number", | |
| "config": { | |
| "min_val": 0, | |
| "max_val": 512 | |
| } | |
| }, | |
| { | |
| "id": "seconds_total", | |
| "type": "number", | |
| "config": { | |
| "min_val": 0, | |
| "max_val": 512 | |
| } | |
| } | |
| ], | |
| "cond_dim": 768 | |
| }, | |
| "diffusion": { | |
| "cross_attention_cond_ids": ["prompt", "seconds_start", "seconds_total"], | |
| "global_cond_ids": ["seconds_start", "seconds_total"], | |
| "type": "dit", | |
| "config": { | |
| "io_channels": 64, | |
| "embed_dim": 1536, | |
| "depth": 24, | |
| "num_heads": 24, | |
| "cond_token_dim": 768, | |
| "global_cond_dim": 1536, | |
| "project_cond_tokens": false, | |
| "transformer_type": "continuous_transformer" | |
| } | |
| }, | |
| "io_channels": 64 | |
| }, | |
| "training": { | |
| "use_ema": true, | |
| "log_loss_info": false, | |
| "optimizer_configs": { | |
| "diffusion": { | |
| "optimizer": { | |
| "type": "AdamW", | |
| "config": { | |
| "lr": 5e-5, | |
| "betas": [0.9, 0.999], | |
| "weight_decay": 1e-3 | |
| } | |
| }, | |
| "scheduler": { | |
| "type": "InverseLR", | |
| "config": { | |
| "inv_gamma": 1000000, | |
| "power": 0.5, | |
| "warmup": 0.99 | |
| } | |
| } | |
| } | |
| }, | |
| "demo": { | |
| "demo_every": 2000, | |
| "demo_steps": 250, | |
| "num_demos": 4, | |
| "demo_cond": [ | |
| {"prompt": "Amen break 174 BPM", "seconds_start": 0, "seconds_total": 12}, | |
| {"prompt": "A beautiful orchestral symphony, classical music", "seconds_start": 0, "seconds_total": 160}, | |
| {"prompt": "Chill hip-hop beat, chillhop", "seconds_start": 0, "seconds_total": 190}, | |
| {"prompt": "A pop song about love and loss", "seconds_start": 0, "seconds_total": 180} | |
| ], | |
| "demo_cfg_scales": [3, 6, 9] | |
| } | |
| } | |
| } |