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AEmotionStudio/minimax-music-3-models
minimax-music-3-models is a text-to-audio model from AEmotionStudio. Use it for the text-to-audio task on the model card, and read the license before you ship it in a product. It is set up for diffusers. The card lists the license as other.
Redistribution of the diffusers-layout subset of MiniMaxAI/MiniMax-Music3 (MiniMax, August 2026), packaged for the MAESTRO audio workstation's offline runtime. All credit to MiniMax. Weights are released under the Min…
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Updated Sep 8, 2026
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From the Hugging Face model README
Redistribution of the diffusers-layout subset of
MiniMaxAI/MiniMax-Music3
(MiniMax, August 2026), packaged for the
MAESTRO audio workstation's offline
runtime. All credit to MiniMax. Weights are released under the
MiniMax-Music3 Community License (reproduced verbatim at shared/LICENSE):
commercial use is permitted provided the product prominently displays
"MiniMax-Music3"; services above US$20M/year revenue need separate
authorization from MiniMax. This mirror adds no restrictions and claims no
ownership. MAESTRO's inference code for this model is vendored separately
under Apache-2.0.
MiniMax Music 3 generates full songs (lyrics + style prompt) up to five minutes: an 8B language model plans the codec sequence, a diffusion transformer (DiT) renders it, an RVQ depth decoder + vocoder produce the waveform.
shared/ modular_model_index.json, config.json, LICENSE
tokenizer/**, scheduler/**, condition_encoder/**, vocoder/**,
rvq_depth_decoder/** (bf16, verbatim),
transformer/** (the DiT — upstream fp32, CAST to bf16 here, see below)
quality/ language_model/** — the 8B LM, four bf16 shards VERBATIM upstream
shared/ + quality/ (22.0 GB) is exactly what the app's "Quality" manifest
downloads. A fast/ lane (house int8 W8A8 quantization of the language model)
is described by the app's second manifest but is not present in this mirror:
the int8 build was measured to collapse on long autoregressive runs and was not
published.
shared/transformer/ (the DiT) ships fp32 upstream (9.7 GB); MAESTRO loads it
in bf16 regardless, so it is cast once here (~4.9 GB, no runtime difference).
Every other tensor is byte-for-byte upstream.qwen_7B/, flowmatching_vae.pth, dav.pth) and
the upstream remote-code files are not mirrored — MAESTRO vendors its own
diffusers-style pipeline and never uses trust_remote_code.Inside MAESTRO: backend/ai/models/minimax_music_3.py (_resolve_paths reads
this shared/ + quality/ layout; the language model is placed with the
shared offload planner on 12 GB cards). Users can also point the runner at the
upstream repo directly.
MiniMax-Music3 Community License — © 2026 MiniMax. See shared/LICENSE.
Please credit MiniMax and display "MiniMax-Music3" as the license requires.