Text-to-Audio
Diffusers
Safetensors
PyTorch
minimax_music3
music-generation
text-to-music
sglang-omni
Instructions to use MiniMaxAI/MiniMax-Music3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MiniMaxAI/MiniMax-Music3 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("MiniMaxAI/MiniMax-Music3", 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
Download rvq_depth_decoder/config.json from MiniMaxAI/MiniMax-Music3: direct link, hf CLI and curl.
- Browser
- Download file 274 Bytes
-
https://huggingface.co/MiniMaxAI/MiniMax-Music3/resolve/refs%2Fpr%2F28/rvq_depth_decoder/config.json
- Command line
-
hf download hf://MiniMaxAI/MiniMax-Music3@refs/pr/28/rvq_depth_decoder/config.json
-
curl -L -o config.json https://huggingface.co/MiniMaxAI/MiniMax-Music3/resolve/refs%2Fpr%2F28/rvq_depth_decoder/config.json
274 Bytes
| { | |
| "_class_name": "MiniMaxMusic3RVQDepthDecoder", | |
| "_diffusers_version": "0.40.0.dev0", | |
| "audio_vocab_size": 1024, | |
| "hidden_size": 4096, | |
| "intermediate_size": 6144, | |
| "max_position_embeddings": 16, | |
| "num_attention_heads": 16, | |
| "num_codebooks": 8, | |
| "num_layers": 4 | |
| } | |