Text-to-Audio
MLX
Diffusers
Safetensors
minimax_music3
apple-silicon
macos
minimax
minimax-music3
audio-generation
generative-audio
music-generation
text-to-music
local-inference
Instructions to use appautomaton/MiniMax-Music3-MLX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use appautomaton/MiniMax-Music3-MLX with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir MiniMax-Music3-MLX appautomaton/MiniMax-Music3-MLX
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Remove unused Diffusers registry
Browse files- modular_model_index.json +0 -103
modular_model_index.json
DELETED
|
@@ -1,103 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"_blocks_class_name": "MiniMaxMusic3Blocks",
|
| 3 |
-
"_class_name": "MiniMaxMusic3ModularPipeline",
|
| 4 |
-
"_diffusers_version": "0.40.0.dev0",
|
| 5 |
-
"condition_encoder": [
|
| 6 |
-
"diffusers",
|
| 7 |
-
"MiniMaxMusic3ConditionEncoder",
|
| 8 |
-
{
|
| 9 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 10 |
-
"revision": null,
|
| 11 |
-
"subfolder": "condition_encoder",
|
| 12 |
-
"type_hint": [
|
| 13 |
-
"diffusers",
|
| 14 |
-
"MiniMaxMusic3ConditionEncoder"
|
| 15 |
-
],
|
| 16 |
-
"variant": null
|
| 17 |
-
}
|
| 18 |
-
],
|
| 19 |
-
"language_model": [
|
| 20 |
-
"transformers",
|
| 21 |
-
"Qwen3ForCausalLM",
|
| 22 |
-
{
|
| 23 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 24 |
-
"revision": null,
|
| 25 |
-
"subfolder": "language_model",
|
| 26 |
-
"type_hint": [
|
| 27 |
-
"transformers",
|
| 28 |
-
"Qwen3ForCausalLM"
|
| 29 |
-
],
|
| 30 |
-
"variant": null
|
| 31 |
-
}
|
| 32 |
-
],
|
| 33 |
-
"rvq_depth_decoder": [
|
| 34 |
-
"diffusers",
|
| 35 |
-
"MiniMaxMusic3RVQDepthDecoder",
|
| 36 |
-
{
|
| 37 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 38 |
-
"revision": null,
|
| 39 |
-
"subfolder": "rvq_depth_decoder",
|
| 40 |
-
"type_hint": [
|
| 41 |
-
"diffusers",
|
| 42 |
-
"MiniMaxMusic3RVQDepthDecoder"
|
| 43 |
-
],
|
| 44 |
-
"variant": null
|
| 45 |
-
}
|
| 46 |
-
],
|
| 47 |
-
"scheduler": [
|
| 48 |
-
"diffusers",
|
| 49 |
-
"FlowMatchEulerDiscreteScheduler",
|
| 50 |
-
{
|
| 51 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 52 |
-
"revision": null,
|
| 53 |
-
"subfolder": "scheduler",
|
| 54 |
-
"type_hint": [
|
| 55 |
-
"diffusers",
|
| 56 |
-
"FlowMatchEulerDiscreteScheduler"
|
| 57 |
-
],
|
| 58 |
-
"variant": null
|
| 59 |
-
}
|
| 60 |
-
],
|
| 61 |
-
"tokenizer": [
|
| 62 |
-
"transformers",
|
| 63 |
-
"Qwen2Tokenizer",
|
| 64 |
-
{
|
| 65 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 66 |
-
"revision": null,
|
| 67 |
-
"subfolder": "tokenizer",
|
| 68 |
-
"type_hint": [
|
| 69 |
-
"transformers",
|
| 70 |
-
"Qwen2Tokenizer"
|
| 71 |
-
],
|
| 72 |
-
"variant": null
|
| 73 |
-
}
|
| 74 |
-
],
|
| 75 |
-
"transformer": [
|
| 76 |
-
"diffusers",
|
| 77 |
-
"MiniMaxMusic3Transformer1DModel",
|
| 78 |
-
{
|
| 79 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 80 |
-
"revision": null,
|
| 81 |
-
"subfolder": "transformer",
|
| 82 |
-
"type_hint": [
|
| 83 |
-
"diffusers",
|
| 84 |
-
"MiniMaxMusic3Transformer1DModel"
|
| 85 |
-
],
|
| 86 |
-
"variant": null
|
| 87 |
-
}
|
| 88 |
-
],
|
| 89 |
-
"vocoder": [
|
| 90 |
-
"diffusers",
|
| 91 |
-
"MiniMaxMusic3Vocoder",
|
| 92 |
-
{
|
| 93 |
-
"pretrained_model_name_or_path": "MiniMaxAI/MiniMax-Music3",
|
| 94 |
-
"revision": null,
|
| 95 |
-
"subfolder": "vocoder",
|
| 96 |
-
"type_hint": [
|
| 97 |
-
"diffusers",
|
| 98 |
-
"MiniMaxMusic3Vocoder"
|
| 99 |
-
],
|
| 100 |
-
"variant": null
|
| 101 |
-
}
|
| 102 |
-
]
|
| 103 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|