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Post-Punk

Post Punk-style generation. Covers: post-punk, angular guitars, prominent driving bass, baritone vocals, moody; dark post-punk, reverb-soaked guitars, urgent drums, anxious vocals; and post-punk revival with disco beat, melodic bassline, sharp guitars.

Quick start

Base model: AceStep v1.5 Turbo (2B)
Trigger word: roti-p0stpnk (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

post-punk, angular guitars, prominent driving bass, baritone vocals, moody (130 BPM, F# minor)
dark post-punk, reverb-soaked guitars, urgent drums, anxious vocals (140 BPM, C# minor)
post-punk revival with disco beat, melodic bassline, sharp guitars (125 BPM, A 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, 3574s total, instrumental fraction 0.0

Files

post_punk-v1.safetensors — PEFT LoRA weights (88,130,248 bytes, sha256 5a970a19d1e1ffeae7e6a0a5c3ca78a43678a60ee4af9e541d435fe669c468c2)
post_punk-v1.metadata.json — machine-readable sidecar (schema v1)
adapter_config.json — PEFT adapter config

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

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