Instructions to use ntc-ai/minimax-music3-concept-sliders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ntc-ai/minimax-music3-concept-sliders 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-Music-3", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("ntc-ai/minimax-music3-concept-sliders") prompt = "Same prompt and lyrics. Energy slider Off then Loud +1. Unidirectional lyric-hold LM." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- Xet hash:
- 08ddce5365cf41d5c5ee67df9d91f00c3ea4153c836b21aba40d92da39493abd
- Size of remote file:
- 3.53 MB
- SHA256:
- f486ee2e9f5fa6e9301fedfe8bf7124cbb59f58792fc32472a30b634d36c1dfa
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.