ryanontheinside / deep_house-acestep1.5-v1

huggingface.co
Total runs: 265
24-hour runs: 0
7-day runs: 94
30-day runs: 231
Model's Last Updated: May 21 2026
text-to-audio

Introduction of deep_house-acestep1.5-v1

Model Details of deep_house-acestep1.5-v1

Deep House

Deep House-style generation. Covers: deep house, four on the floor kick, warm sub bass, jazzy keys, soulful vocals; lounge deep house, mellow chords, smooth bass, vocal samples, chill; and funky deep house, percussive grooves, organ chords, soulful bassline.

Quick start
  • Base model: AceStep v1.5 Turbo (2B)
  • Trigger word: roti-d33ph0us (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
  • deep house, four on the floor kick, warm sub bass, jazzy keys, soulful vocals (122 BPM, A minor)
  • lounge deep house, mellow chords, smooth bass, vocal samples, chill (118 BPM, D minor)
  • funky deep house, percussive grooves, organ chords, soulful bassline (124 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, 3625s total, instrumental fraction 0.0
Files
  • deep_house-v1.safetensors — PEFT LoRA weights (88,130,248 bytes, sha256 48869bd36c7652b8384aa87d3b4efabf5c5242338b0ae4f3a4a795fc7a81b234 )
  • deep_house-v1.metadata.json — machine-readable sidecar (schema v1)
  • adapter_config.json — PEFT adapter config

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

Runs of ryanontheinside deep_house-acestep1.5-v1 on huggingface.co

265
Total runs
0
24-hour runs
35
3-day runs
94
7-day runs
231
30-day runs

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deep_house-acestep1.5-v1 huggingface.co

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deep_house-acestep1.5-v1 install

deep_house-acestep1.5-v1 is an open source model from GitHub that offers a free installation service, and any user can find deep_house-acestep1.5-v1 on GitHub to install. At the same time, huggingface.co provides the effect of deep_house-acestep1.5-v1 install, users can directly use deep_house-acestep1.5-v1 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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https://huggingface.co/ryanontheinside/deep_house-acestep1.5-v1

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