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Home / v4.7.1
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README.md 2026-08-20 10.0 kB
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v4.7.1 - MiniMax Music source code.tar.gz 2026-08-20 17.5 MB
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v4.7.1 - MiniMax Music source code.zip 2026-08-20 19.8 MB
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Features

  • MiniMax Music 3 - a very difficult campaign
  • Building an open RVQ encoder by distilling the MiniMax Music LM output logits back into an approximate encoder distribution
  • Attempting to inject the RVQ audio codes directly to attempt to exploit any built-in reference conditioning (there isn't any)
  • Putting together a latent refiner to restore poor-quality real audio (it works!)
  • Attempting to build a latent replanner to "remix" and cover existing audio outputs from MiniMax Music 3 or real audio - it can refine AI output audio and restore its quality, but not able to transfer style or cover artists
  • Training a working artist LoRA on a single 48G GPU in a couple hours, testing a number of strength values and caption styles' impact on the base model
  • LTX Video 2.5 finetuning fully supported
  • Tuned configurations for MiniMax H3 are now provided that function at reasonable speeds across the 24/32/48G GPU size range
  • Webshart datasets now can use .txt sidecar captions (textfile caption strategy natively supported)
  • Webshart datasets can be optimised by SimpleTuner via a dataloader config option; txt files are collected into the optimised json indices instead
  • New option --init_lora_step to jump to a previous training runs' correct step count
  • LoRA global_step is recorded in metadata and automatically used for continuing training of a LoRA if detected (set init_lora_step=0 to override this)
  • New dataloader option train_batch_size for per-dataset batch sizing; useful if mixing 512/1024/2048px image sizes or different num_frames video dataset copies
  • MiniMax H3 audio-only training - if MiniMax Music doesn't suit your fancy, you can only define audio datasets for H3 instead, and it will automatically optimise training for the creation of a music model. Example LoRA here which teaches a particular prompt format to make it generate music coherently and reliably.
  • Community-trained Anima 2.9B flavour is now added and available for easy selection from CLI or WebUI configuration management

What's Changed

Full Changelog: https://github.com/bghira/SimpleTuner/compare/v4.7.0...v4.7.1

Source: README.md, updated 2026-08-20