Instructions to use BornSaint/minimax-music3-latent-refiner-v0.10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BornSaint/minimax-music3-latent-refiner-v0.10 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("BornSaint/minimax-music3-latent-refiner-v0.10", 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
| { | |
| "audio_sample_rate": 44100, | |
| "audio_vae": "SimpleTuner/MiniMax-Music-3-Encoder", | |
| "bridge_steps": 32, | |
| "checkpoint_step": 1000, | |
| "clap": "laion/larger_clap_music", | |
| "dav_hop": 512, | |
| "mert": "m-a-p/MERT-v1-95M", | |
| "normalization": "normalization.safetensors", | |
| "release": "v0.10", | |
| "training_window_seconds": 30.0 | |
| } | |