I developed a Python script to analyze LoRA models for Stable Diffusion. The script checks the model parameters and generates a report that groups them by compatible size and type. This makes it easier to merge models (e.g., using Kohya or other tools) based on style, concept, or usage, saving time in the search process, streamlining workflows, and optimizing disk space.
You no longer have to rely on random attempts to merge LoRAs (with potential errors), based on models occupying similar disk space.
This script was born out of my own need for a free program that met these requirements. Not knowing exactly what to look for and recognizing the open-source philosophy of Stable Diffusion, I decided to develop it "myself" (with ChatGPT) and share it freely with the creative community 😊
So make good use of it, start merging your LoRAs, and free up valuable space on your hard drives 😁
👉 Try it now on GitHub:
🔗 github.com/Tranchillo/Analyze-LoRA-Models
