Instructions to use ryanontheinside/funk50-acestep1.5-dora-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ACE-Step
How to use ryanontheinside/funk50-acestep1.5-dora-v2 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
FUNK_A
Mirrored from Civitai model ACEStep LoRAs, version 3004478.
Civitai URL: https://civitai.com/models/2416425?modelVersionId=3004478
Files
funk50-acestep1.5-dora-v2.safetensors- 164959808 bytes - SHA256337BF20B667B59EB158F9C287BB3F439F1D19D00E481FA226A186A164A3E97B7funk50-acestep1.5-dora-v2.metadata.json- 2940 bytes - SHA2563531126FCC97E8AEAE93663CA96BDD62F1104763547792EAD35AE8723ABB9812
Trained Words
funk
Civitai Description
Funk — DoRA · ACE-Step 1.5 Base (2B)
DoRA for AceStep v1.5 Base.
Prompt-driven (trained prompt-only, no trained trigger token). The lead tag below is the dominant descriptor of the training cohort, not a magic word — prompt naturally for funk.
How to use
- Trigger / lead tag:
funk - Recommended strength: 1.0 (tested 0.7–1.3)
- Steps 50 · shift 1.0 · guidance 7.0 · 48000 Hz
Example prompts
funk groove, slap bass, tight drum break, wah guitar, brass stabs, syncopated· 110 bpm · E minor
Adapter
- DoRA rank 64 · alpha 64 · dropout 0.1 · 7 target modules
Download includes a required funk50-acestep1.5-dora-v2.metadata.json config sidecar with full structured metadata.
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Model tree for ryanontheinside/funk50-acestep1.5-dora-v2
Base model
ACE-Step/Ace-Step1.5