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Ambient

Ambient-style generation. Covers: ambient drone, evolving pads, ethereal textures, slow swelling, meditative; cinematic ambient score, sweeping pads, distant horns, emotional swells; and dark ambient, low drones, distant metallic textures, ominous atmosphere.

Quick start

  • Base model: AceStep v1.5 Turbo (2B)
  • Trigger word: roti-4mbnt (must appear in the prompt to activate)
  • Recommended strength: 0.7
  • 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

  • ambient drone, evolving pads, ethereal textures, slow swelling, meditative (60 BPM, D minor)
  • cinematic ambient score, sweeping pads, distant horns, emotional swells (70 BPM, F major)
  • dark ambient, low drones, distant metallic textures, ominous atmosphere (50 BPM, C 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, 3760s total, instrumental fraction 0.0

Files

  • ambient-v1.safetensors โ€” PEFT LoRA weights (88,130,248 bytes, sha256 bcd3e4869c38a5e66a80aa85ccc22e9edfdfbb4e25406b30fcdd63e4c40ca266)
  • ambient-v1.metadata.json โ€” machine-readable sidecar (schema v1)
  • adapter_config.json โ€” PEFT adapter config

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

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