Eisbach-Medium

Base Model Adapter

A belief-space fine-tuned LoRA adapter for Stable Audio 3 Medium.

Eisbach-Medium is a DoRA-rows adapter (rank 16, 41MB) fine-tuned with the Eisbach log-barrier โ€” a self-referential confidence-gating mechanism that reshapes training dynamics to favor temporally structured, acoustically differentiated outputs. It specializes in long-form instrumental music with clear structural development and narrative coherence.

Quick start

This is a LoRA adapter โ€” you need the base Stable Audio 3 Medium model.

Recommended parameters

Parameter Recommendation
Steps 8 (fast) to 50 (refined)
CFG scale 2.5โ€“4.0
Duration 30sโ€“180s
Sampler pingpong
Prompt style Descriptive, literary, scene-based

Training

Field Value
Base model Stable Audio 3 Medium (2.3B DiT, 44.1kHz stereo)
Adapter DoRA-rows, rank 16, alpha 16
Steps 1,000
Batch size 4
LR 5e-5 (AdamW)
Dataset MusicCaps
Eisbach barrier 0.5

Limitation

  • Instrumental music only; vocals not tested
  • Favors chamber/orchestral textures over loop-based genres
  • Scene-based prompts work better than technical tag lists

License

Derived from Stable Audio 3 Medium. Subject to Stability AI's model license terms.

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Model size
21.6M params
Tensor type
F16
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