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
File size: 292 Bytes
edf4bc9 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"_class_name": "MiniMaxMusic3ConditionEncoder",
"_diffusers_version": "0.40.0.dev0",
"condition_hidden_dim": 4096,
"input_hop_length": 960,
"input_sampling_rate": 24000,
"num_condition_layers": 8,
"out_dim": 2048,
"output_hop_length": 512,
"output_sampling_rate": 44100
}
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