{"id":"stability-ai-stable-audio-tools","name":"stable-audio-tools","af_score":34.0,"security_score":20.0,"reliability_score":26.2,"what_it_does":"Provides training and inference code (primarily Python/PyTorch + PyTorch Lightning) for conditional audio generation models, including a Gradio-based demo runner for loading Hugging Face pretrained checkpoints and running local training scripts driven by JSON config files.","best_when":"You want to run audio model training/inference locally in Python with access to PyTorch/GPU tooling and can manage configs/checkpoints.","avoid_when":"You need a managed cloud service with SLA, hosted uptime guarantees, or a documented stable public API surface for other systems to call directly.","last_evaluated":"2026-03-29T15:05:12.970695+00:00","has_mcp":false,"has_api":false,"auth_methods":["Gradio demo basic login via --username/--password (optional)","Hugging Face terms acceptance for pretrained model usage (documented prerequisite, not implemented here as an auth method)","Weights & Biases login for training logging (wandb login)"],"has_free_tier":false,"known_gotchas":["Primarily intended for local Python execution; no stable network API surface is documented for autonomous agents.","Gradio demo options include optional username/password but details of auth enforcement and failure modes are not specified.","Training requires additional external account login (Weights & Biases) and GPU/distributed training configuration; automated environments may fail without proper environment setup.","Checkpoint 'unwrapping' is required for certain inference/fine-tuning workflows; agents may incorrectly use wrapped checkpoints if not guided by the docs."],"error_quality":0.0}