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
Open research toolkit extending MiniMax Music3 with arbitrary-audio encoding, continuation, inpainting, prepend generation, prompt-free generation, and automated evaluation.
#19
by coolpoodle - opened
Had to do a significant amount of work to get continuation, inpainting, and some Suno-esque modes working with MiniMax Music 3.
Caveat: it works, but the quality is not amazing yet.
That is exactly why Iβm open-sourcing my research, code, experiments, and findings. I think the community can work together to push this into something much more capable and make Music 3 as awesome of an open model as possible.
Uploading the repo now!
Uploaded and done! https://huggingface.co/coolpoodle/music3lab
I will keep working on this but I hope the community also contributes π
Thanks guys.