mouceen/Mapperatorinator-v30-LoRA-Arles-v1

LoRA: Arles Style for Mapperatorinator

This is a LoRA (Low-Rank Adaptation) fine-tune for the OliBomby/Mapperatorinator-v30 model. It has been trained on a custom dataset of beatmaps to generate maps in the "Arles" style.

Model Details

• Base Model: OliBomby/Mapperatorinator-v30
• Model Type: LoRA

How to Use

You can use this LoRA in two ways: by downloading the files locally or by loading it directly from the Hugging Face Hub. Best to use on songs that are hybrid bursts/short streams and jumps

Option 1: Local Files

1. Download and Structure Files: Download the adapter_config.json and adapter_model.safetensors files from this repository. Create a folder and place the files inside like this:

   arles_lora/
   ├── adapter_config.json
   └── adapter_model.safetensors
   

2. Run Inference: Use the lora_path argument to point to the local folder you created.

   python inference.py \
     audio_path='/path/to/your/audio.mp3' \
     output_path='/path/to/your/output_folder' \
     lora_path='/path/to/your/arles_lora' \
     ... # other arguments
   

Option 2: Direct from Hugging Face Hub

You can load the LoRA directly from this repository without manually downloading the files. The script will handle it automatically.

1. Run Inference: Use the lora_path argument and set it to the name of this repository.

   python inference.py \
     audio_path='/path/to/your/audio.mp3' \
     output_path='/path/to/your/output_folder' \
     lora_path='mouceen/Mapperatorinator-v30-LoRA-Arles-v1' \
     ... # other arguments