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
minimax-music3-concept-sliders / weights /gender-lm-v24-lyrichold /gender-lm-v24-lyrichold_last.safetensors
- Xet hash:
- b00f74b841da0353137915cf7ca6159e25e4a29d4906d76204290849ddfb9d85
- Size of remote file:
- 30.7 MB
- SHA256:
- 7460aaca53593ff72aa6ffcbc6cea1caf989966b6cf1d536920c71842d020607
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