- Add auto-batching functionality to split large LoRA collections into manageable chunks
- Implement batch_size parameter to control number of LoRAs per batch (default: 25)
- Add batch_index parameter to select which batch to process
- Include batch tracking metadata in LORA_PARAMS for visualization
- Display batch info in plot parameters when available
- Update lora_list output to show batch header when auto-batching is enabled
- Add comprehensive tests for batching functionality
- Update documentation with detailed auto-batching usage instructions
This feature prevents UI disconnection issues when processing large numbers of LoRAs
by allowing users to process them in smaller batches sequentially.
Vito Sansevero
d2b30f0a78
