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Experimental

Experimental-style generation. Covers: experimental electronic, glitchy textures, abstract rhythms, evolving sound design; experimental noise, harsh textures, manipulated samples, dense layering; and experimental ambient, processed field recordings, drones, sparse rhythms.

Quick start

  • Base model: AceStep v1.5 Turbo (2B)
  • Trigger word: roti-3xpr1mtl (must appear in the prompt to activate)
  • Recommended strength: 1.0
  • Tested strength range: 0.3 โ€“ 1.0
  • Recommended steps: 8
  • Recommended guidance: 7.0
  • Recommended shift: 3.0
  • Sample rate: 48000 Hz

Example prompts

  • experimental electronic, glitchy textures, abstract rhythms, evolving sound design (110 BPM, C minor)
  • experimental noise, harsh textures, manipulated samples, dense layering (95 BPM, D minor)
  • experimental ambient, processed field recordings, drones, sparse rhythms (60 BPM, G minor)

Training

  • Rank 64, alpha 128, dropout 0.1
  • Target modules: q_proj, k_proj, v_proj, o_proj
  • 500 epochs / 7500 steps, batch 1, optimizer adamw_fused, lr 0.0003, warmup 100
  • Dataset: 15 synthetic tracks, 3485s total, instrumental fraction 0.2

Files

  • experimental-v1.safetensors โ€” PEFT LoRA weights (88,130,248 bytes, sha256 83590b8c9f7921f26225d52469ae99d29e5d5e8a6abe627d868113e6f0938262)
  • experimental-v1.metadata.json โ€” machine-readable sidecar (schema v1)
  • adapter_config.json โ€” PEFT adapter config

Full metadata: see experimental-v1.metadata.json.

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