---
license: apache-2.0
language:
- en
base_model:
- ACE-Step/ACE-Step-v1-3.5B
---
# ACE Step LoRA Experimentation: Glitch Hop

<!-- Provide a quick summary of what the model is/does. -->

This is a Low-Rank Adaptation (LoRA) model of [ACE Step](https://huggingface.co/ACE-Step/ACE-Step-v1-3.5B) focused on a specific genre of Glitch Hop music.

## Triggers

Any mix and match of the following words should do:
```neurohop, electronic, glitch hop, hip hop, dubstep, synth, vocal synth, vocal samples, talkbox, talkbox vocals```

Be sure to specify BPM as well as any normal trigger words aligning with the original ACE Step model.

## Training Details

The LoRA was trained off of a privately curated dataset of 22 tracks produced in the Glitch Hop/Neurohop genre, using default config settings following the [ACE Step LoRA Training Outline](https://github.com/ace-step/ACE-Step/blob/main/TRAIN_INSTRUCTION.md)

This the first ACE Step LoRA I've attempted, with the current model being the 3rd iteration total from the default training process (no specified maximum epochs) before the GPU I was using ran out of memory.

Since the training was cut prematurely, it may not accurately produce satisfying results! Further experimentation, examples and paramater detailing will be done at a later date. In the mean time, feel free to share your results if you decided to utilize this LoRA fine-tune.

### Results

TBD!