Instructions to use AEmotionStudio/sonicmaster-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AEmotionStudio/sonicmaster-models with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AEmotionStudio/sonicmaster-models", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
| # SonicMaster — bundled mirror | |
| Self-contained inference bundle for the MAESTRO desktop app. | |
| ## Contents | |
| - `sonicmaster/model.safetensors` — diffusion checkpoint (source: [amaai-lab/SonicMaster](https://huggingface.co/amaai-lab/SonicMaster)) | |
| - `sonicmaster/tangoflux_config.yaml` — model architecture config | |
| - `t5/` — `google/flan-t5-large` text encoder + tokenizer (Apache-2.0) | |
| - `vae/` — Oobleck VAE from `stabilityai/stable-audio-open-1.0` | |
| ## License | |
| - SonicMaster: Apache-2.0 | |
| - T5 (flan-t5-large): Apache-2.0 | |
| - Stable Audio Open 1.0 VAE: Stability AI Community License (research-friendly) | |
| Paper: Melechovsky, Mehrish, Herremans. "SonicMaster: Towards Controllable All-in-One Music Restoration and Mastering." ICML 2026 (arXiv:2508.03448). | |