Instructions to use ryanontheinside/techno-acestep1.5-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ryanontheinside/techno-acestep1.5-v1 with PEFT:
Task type is invalid.
- ACE-Step
How to use ryanontheinside/techno-acestep1.5-v1 with ACE-Step:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Configuration Parsing Warning:In adapter_config.json: "peft.task_type" must be a string
Techno
Techno-style generation. Covers: driving techno, four on the floor kick, hypnotic synth pulse, deep bass; dark techno, pounding kick, distorted bass, atmospheric pads, hypnotic; and minimal techno, stripped percussion, subtle bass groove, glitchy textures.
Quick start
- Base model: AceStep v1.5 Turbo (2B)
- Trigger word:
roti-t3kn0(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
driving techno, four on the floor kick, hypnotic synth pulse, deep bass(128 BPM, G minor)dark techno, pounding kick, distorted bass, atmospheric pads, hypnotic(130 BPM, C minor)minimal techno, stripped percussion, subtle bass groove, glitchy textures(125 BPM, F 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, 4305s total, instrumental fraction 0.2
Files
techno-v1.safetensorsโ PEFT LoRA weights (88,130,248 bytes, sha2560658581b527c1e9cf031e1abbed5d159901d09a5b93e306574cb576dbf737a1d)techno-v1.metadata.jsonโ machine-readable sidecar (schema v1)adapter_config.jsonโ PEFT adapter config
Full metadata: see techno-v1.metadata.json.
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