⚔️ Grand Unified Model Merger ⚔️ Unleash the full potential of your Stable Diffusion models with the Grand Unified Model Merger! This powerful and intuitive desktop application provides advanced merging capabilities for .safetensors models and LoRAs, all wrapped in a sleek, user-friendly interface. --- ✨ What is it? The Grand Unified Model Merger is a standalone Python application designed to give you unparalleled control over combining your Stable Diffusion checkpoints and LoRA files. Forget complex command-line arguments or limited web UI options – this tool puts advanced merging power directly at your fingertips. --- 🚀 Key Features: * Flexible Base Model Merging: Combine multiple base models with precise weight control. * Weight Sum: The classic merging method for blending models. Add Difference: A powerful algorithm (A + (B - C) \ weight) for transferring specific styles or concepts from one model to another. * Seamless LoRA Injection (Baking): Directly "bake in" LoRA effects into your merged base models. This means the LoRA's changes are permanently integrated, resulting in a single, optimized model file that saves disk space and simplifies your workflow – no need to load separate LoRA files at inference time! * Intelligent Output Management: * Automatic Naming: Generates intelligent filenames based on the models you're merging (e.g., modelA-modelB-loraC.safetensors). * Smart Directory Selection: Automatically suggests output directories (models/Stable-diffusion for base merges, models/Lora for LoRA-only merges) within your Forge/SD installation. * Real-time Progress &amp; Logging: Stay informed with a detailed log panel and progress bar that show you exactly what the merger is doing, from loading models to applying LoRAs and saving the final output. * Modular Post-Merge Scripts: Extend functionality with optional, toggleable scripts that run after the main merge: * Prune to FP16: Automatically converts your merged model to float16 precision, significantly reducing file size without noticeable quality loss. * Bake in VAE: Integrates a selected VAE directly into your merged model. * Dedicated LoRA Extractor Utility: A separate, easy-to-use tool to extract a LoRA from two models (a base and its fine-tuned version), perfect for creating and sharing new concepts. * Modern &amp; Intuitive GUI: A redesigned, dark-themed interface with a clear two-column layout, custom buttons, and improved readability for a smooth user experience. --- 💾 How to Install (One-Click Setup!): Getting started with the Grand Unified Model Merger is incredibly simple, thanks to the included one-click installer. 1. Download the Package: Download the .zip file containing the Model Merger from CivitAI. 2. Extract Anywhere: Extract the contents of the .zip file to any location on your computer (e.g., your Desktop, a dedicated tools folder). 3. Run the Installer: Navigate into the extracted folder and simply double-click <code>install.bat</code>. That's it! The install.bat script will automatically: * Check for a compatible Python installation (Python 3.8+ is recommended). * Create a isolated Python virtual environment to manage dependencies. * Install all necessary Python libraries (safetensors, torch, requests). * Launch the Model Merger GUI. Once the setup is complete, the application window will appear, ready for you to start merging! --- Note: If you encounter any issues, please check the merger_log.txt file in the application's directory for error details. Ensure your system has Python 3.8 or newer installed and added to your system's PATH for the installer to function correctly.

DM Model merger tool

⚔️ Grand Unified Model Merger ⚔️ Unleash the full potential of your Stable Diffusion models with the Grand Unified Model Merger! This powerful and intuitive desktop application provides advanced merging capabilities for .safetensors models and LoRAs, all wrapped in a sleek, user-friendly interface. --- ✨ What is it? The Grand Unified Model Merger is a standalone Python application designed to give you unparalleled control over combining your Stable Diffusion checkpoints and LoRA files. Forget complex command-line arguments or limited web UI options – this tool puts advanced merging power directly at your fingertips. --- 🚀 Key Features: * Flexible Base Model Merging: Combine multiple base models with precise weight control. * Weight Sum: The classic merging method for blending models. Add Difference: A powerful algorithm (A + (B - C) \ weight) for transferring specific styles or concepts from one model to another. * Seamless LoRA Injection (Baking): Directly "bake in" LoRA effects into your merged base models. This means the LoRA's changes are permanently integrated, resulting in a single, optimized model file that saves disk space and simplifies your workflow – no need to load separate LoRA files at inference time! * Intelligent Output Management: * Automatic Naming: Generates intelligent filenames based on the models you're merging (e.g., modelA-modelB-loraC.safetensors). * Smart Directory Selection: Automatically suggests output directories (models/Stable-diffusion for base merges, models/Lora for LoRA-only merges) within your Forge/SD installation. * Real-time Progress &amp; Logging: Stay informed with a detailed log panel and progress bar that show you exactly what the merger is doing, from loading models to applying LoRAs and saving the final output. * Modular Post-Merge Scripts: Extend functionality with optional, toggleable scripts that run after the main merge: * Prune to FP16: Automatically converts your merged model to float16 precision, significantly reducing file size without noticeable quality loss. * Bake in VAE: Integrates a selected VAE directly into your merged model. * Dedicated LoRA Extractor Utility: A separate, easy-to-use tool to extract a LoRA from two models (a base and its fine-tuned version), perfect for creating and sharing new concepts. * Modern &amp; Intuitive GUI: A redesigned, dark-themed interface with a clear two-column layout, custom buttons, and improved readability for a smooth user experience. --- 💾 How to Install (One-Click Setup!): Getting started with the Grand Unified Model Merger is incredibly simple, thanks to the included one-click installer. 1. Download the Package: Download the .zip file containing the Model Merger from CivitAI. 2. Extract Anywhere: Extract the contents of the .zip file to any location on your computer (e.g., your Desktop, a dedicated tools folder). 3. Run the Installer: Navigate into the extracted folder and simply double-click <code>install.bat</code>. That's it! The install.bat script will automatically: * Check for a compatible Python installation (Python 3.8+ is recommended). * Create a isolated Python virtual environment to manage dependencies. * Install all necessary Python libraries (safetensors, torch, requests). * Launch the Model Merger GUI. Once the setup is complete, the application window will appear, ready for you to start merging! --- Note: If you encounter any issues, please check the merger_log.txt file in the application's directory for error details. Ensure your system has Python 3.8 or newer installed and added to your system's PATH for the installer to function correctly.

Files with SHA256: 13f2d75b2e0bbbb04235549d0a303c79b72ea05c1fb091ab2b044d28a0e94b94