Instructions to use ryanontheinside/j_pop-acestep1.5-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use ryanontheinside/j_pop-acestep1.5-v1 with PEFT:
Task type is invalid.
- ACE-Step
How to use ryanontheinside/j_pop-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
J-Pop
J-Pop-style generation. Covers: j-pop, bright synths, anime-style melody, catchy chorus, energetic drums; j-pop idol track, layered female vocals, sparkling synths, polished production; and j-pop rock, driving guitars, energetic drums, anthemic female vocals.
Quick start
- Base model: AceStep v1.5 Turbo (2B)
- Trigger word:
roti-jp0pp(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
j-pop, bright synths, anime-style melody, catchy chorus, energetic drums(130 BPM, C major)j-pop idol track, layered female vocals, sparkling synths, polished production(140 BPM, G major)j-pop rock, driving guitars, energetic drums, anthemic female vocals(145 BPM, E 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, 3517s total, instrumental fraction 0.0
Files
j_pop-v1.safetensorsโ PEFT LoRA weights (88,130,248 bytes, sha2568eaa228f5e84877368f8c60a50d01abc3f5acf2941cfffe9bbdcf3310500fea5)j_pop-v1.metadata.jsonโ machine-readable sidecar (schema v1)adapter_config.jsonโ PEFT adapter config
Full metadata: see j_pop-v1.metadata.json.
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