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Folk

Folk-style generation. Covers: indie folk, fingerpicked acoustic guitar, soft male vocals, gentle harmonies; traditional folk track, acoustic guitar, fiddle, harmonica, warm vocals; and americana folk, fingerpicked guitar, lap steel, harmonica, heartfelt vocals.

Quick start

Base model: AceStep v1.5 Turbo (2B)
Trigger word: roti-f0lkk (must appear in the prompt to activate)
Recommended strength: 1.0
Tested strength range: 0.3 – 1.0
Recommended steps: 8
Recommended guidance: 7.0
Recommended shift: 3.0
Sample rate: 48000 Hz

Example prompts

indie folk, fingerpicked acoustic guitar, soft male vocals, gentle harmonies (95 BPM, G major)
traditional folk track, acoustic guitar, fiddle, harmonica, warm vocals (110 BPM, D major)
americana folk, fingerpicked guitar, lap steel, harmonica, heartfelt vocals (100 BPM, C major)

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, 3605s total, instrumental fraction 0.0

Files

folk-v1.safetensors — PEFT LoRA weights (88,130,248 bytes, sha256 191d0bfed3becd2146ba1b96df815b4939a9be5fbd0e0570e628ec855dfc7248)
folk-v1.metadata.json — machine-readable sidecar (schema v1)
adapter_config.json — PEFT adapter config

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

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