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
music quality look like suno V3.5
music quality look like suno V3.5
And that is pretty good for open source model.
Since we got like, two, this one and ACE.
Since we got like, two, this one and ACE.
nah, you're wrong because stable audio 3 is much better than ACE which only makes cheap ambient and pop when ask for dubstep
Good enough for open source. At least the output is cleaner than ace-step.
Since we got like, two, this one and ACE.
nah, you're wrong because stable audio 3 is much better than ACE which only makes cheap ambient and pop when ask for dubstep
Does stable audio support music with singing? There are only examples without singing in their page.
guys, ACE-Step at least released their full encoder(s). this is not useful for;
- reference audio inputs
- voice cloning
pretty much anything but t2a is just out of the question