--- tags: - comfyui - installer - offline - cuda12 - cuda13 license: apache-2.0 language: en library_name: ComfyUI --- # ComfyUI FWAI One-Click Installer This repository provides portable ComfyUI installers ready to use, with support for different CUDA versions. Both ZIP packages contain the same structure (ComfyUI, offline dependencies, requirements, setup and launcher scripts). The only difference is that dependencies are adjusted for CUDA 12 or CUDA 13. ## 📦 Available Files - **ComfyUI_FWAI_Cuda12_Win.zip** Recommended for RTX 30xx/40xx (Ada Lovelace). - **ComfyUI_FWAI_Cuda13_Win.zip** Exclusive for RTX 50xx (Blackwell: RTX 5050, 5060, 5070, 5080, 5090). ## ⚙️ Requirements - Windows 10/11 (x64) - Compatible Nvidia GPU (CUDA 12 or 13 depending on version). - Python 3.12/3.13 (automatically installed by setup). ## 🚀 Installation 1. Download the ZIP matching your GPU. 2. Extract into a new folder. 3. Run `FWAI_ComfyUI_Setup.bat`. 4. Launch ComfyUI with `FWAI_Launcher_ComfyUI.bat`. ## 📌 Notes - CUDA 12 covers RTX 30xx/40xx (Ada Lovelace) and is the most stable option. - CUDA 13 (Blackwell) is required for RTX 50xx GPUs (GB20x series). - Both ZIPs have the same internal structure; only dependencies differ. ## 📜 License This project is licensed under Apache-2.0. --- # ComfyUI FWAI One-Click Installer (Español) Este repositorio ofrece instaladores portátiles de ComfyUI listos para usar, con soporte para distintas versiones de CUDA. Ambos paquetes ZIP contienen la misma estructura (ComfyUI, dependencias offline, requirements, scripts de setup y launcher). La única diferencia es que las dependencias están ajustadas para CUDA 12 o CUDA 13. ## 📦 Archivos disponibles - **ComfyUI_FWAI_Cuda12_Win.zip** Recomendado para RTX 30xx/40xx (Ada Lovelace). - **ComfyUI_FWAI_Cuda13_Win.zip** Exclusivo para RTX 50xx (Blackwell: RTX 5050, 5060, 5070, 5080, 5090). ## ⚙️ Requisitos - Windows 10/11 (x64) - GPU Nvidia compatible (CUDA 12 o 13 según versión). - Python 3.12/3.13 (instalado automáticamente por el setup). ## 🚀 Instalación 1. Descarga el ZIP correspondiente a tu GPU. 2. Extrae en una carpeta nueva. 3. Ejecut