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 /dust-lm-v1-faithful-kl-pole03 /dust-lm-v1-faithful-kl-pole03_last.json
| { | |
| "schema": 3, | |
| "name": "dust-lm-v1-faithful-kl-pole03", | |
| "checkpoint": "models/dust-lm-v1-faithful-kl-pole03/dust-lm-v1-faithful-kl-pole03_last.safetensors", | |
| "weights": "models/dust-lm-v1-faithful-kl-pole03/dust-lm-v1-faithful-kl-pole03_last.safetensors", | |
| "modules": 144, | |
| "rank": 8, | |
| "alpha": 8.0, | |
| "steps": 800, | |
| "steps_budget": 800, | |
| "lr": 0.0005, | |
| "seed": 7, | |
| "rows": 1, | |
| "symmetric": false, | |
| "target_mode": "faithful", | |
| "common_beta": 0.0, | |
| "target_scale": 1.0, | |
| "planreg_weight": 0.3, | |
| "planreg_mode": "semantic_kl", | |
| "planreg_temperature": 1.0, | |
| "pole_mode": "semantic_kl", | |
| "pole_temperature": 1.0, | |
| "collapse_weight": 1.0, | |
| "collapse_cos": 0.0, | |
| "first": { | |
| "step": 1, | |
| "row": 0, | |
| "loss": 1.0520888566970825, | |
| "pperc": 0.9991436004638672, | |
| "nperc": 0.994937002658844, | |
| "cos_pos": 0.06695519387722015, | |
| "cos_neg": 0.1007828563451767, | |
| "collapse": 1.0, | |
| "edrift_p": 0.0, | |
| "edrift_n": 0.0, | |
| "pdrift_p": -9.297287245635388e-11, | |
| "pdrift_n": -9.297287245635388e-11 | |
| }, | |
| "last": { | |
| "step": 800, | |
| "row": 0, | |
| "loss": 0.005899838637560606, | |
| "pperc": 0.7056938409805298, | |
| "nperc": 0.5859696865081787, | |
| "cos_pos": 0.7102841138839722, | |
| "cos_neg": 0.8157988786697388, | |
| "collapse": -0.14944569766521454, | |
| "edrift_p": 0.04880993068218231, | |
| "edrift_n": 0.05431973934173584, | |
| "pdrift_p": 0.0006512188701890409, | |
| "pdrift_n": 0.0007961009396240115 | |
| }, | |
| "target_replace": [ | |
| "Qwen3Attention" | |
| ], | |
| "kind": "language_model", | |
| "prefix": "lora_te", | |
| "delimiter": "-", | |
| "train_method": "full", | |
| "unit_scale": 1.0, | |
| "endreg": { | |
| "enabled": true, | |
| "weight": 1.0, | |
| "frames": 250, | |
| "seed": 7, | |
| "rows_ended_naturally": 0, | |
| "final_edrift_p": 0.04781937211751938, | |
| "final_edrift_n": 0.048057184517383576 | |
| }, | |
| "plus_label": "Dusty", | |
| "minus_label": "Glossy", | |
| "recommended_range": [ | |
| -2.0, | |
| 2.0 | |
| ], | |
| "prompts_file": "conceptmod/textsliders/data/prompts-cand-dust-v1.yaml", | |
| "early_stop": { | |
| "enabled": false, | |
| "fired": false, | |
| "window": 50, | |
| "min_steps": 100, | |
| "cos": 0.97, | |
| "collapse": -0.95, | |
| "perc": 0.2, | |
| "metrics": { | |
| "cos_pos": 0.7166389560699463, | |
| "cos_neg": 0.8094420921802521, | |
| "collapse": -0.10861533731222153, | |
| "pperc": 0.7000718021392822, | |
| "nperc": 0.594212304353714 | |
| } | |
| } | |
| } |