From b0caf56dd6fbc476a2803bc9a8d93a1089d54e1b Mon Sep 17 00:00:00 2001 From: Level Pixel Dev Date: Tue, 27 May 2025 06:37:51 +0600 Subject: [PATCH] Updated README.md --- README.md | 33 +++++++++++++++++---------------- 1 file changed, 17 insertions(+), 16 deletions(-) diff --git a/README.md b/README.md index 0f1c430..b6e0b3b 100644 --- a/README.md +++ b/README.md @@ -27,17 +27,18 @@ levelpixel.dev@gmail.com Before running ComfyUI with this node package, you should make sure that you have the following programs and libraries installed so that ComfyUI can compile the necessary libraries and programs for llama-cpp-python (the main library that allows you to use any current GGUF models and neural network architectures): 1) `CUDA drivers` - install the latest version. -Download: [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads) - + Download: [https://developer.nvidia.com/cuda-downloads](https://developer.nvidia.com/cuda-downloads) 2) `Visual Studio 2022 Community IDE` with libraries for compiling C++ programs, specifically with individual components (select them in Visual Studio Installer when installing/modifying Visual Studio 2022): + * MSVC v143 - VS 2022 C++ x64/x86 build tools (Latest) * MSVC v143 - VS 2022 C++ x64/x86 build tools (v14.38-17.8) * C++ Cmake tools for Windows -* C++ Cmake tools for Linux and Mac -Download: [https://visualstudio.microsoft.com/downloads](https://visualstudio.microsoft.com/downloads) +* C++ Cmake tools for Linux and Mac + + Download: [https://visualstudio.microsoft.com/downloads](https://visualstudio.microsoft.com/downloads) 3) `CMAKE official distribution` - download and install the latest version. -Download: [https://cmake.org/download](https://cmake.org/download) + Download: [https://cmake.org/download](https://cmake.org/download) ### Installation Using ComfyUI Manager (recommended): @@ -109,18 +110,18 @@ The core functionality is taken from [ComfyUI_VLM_nodes](https://github.com/goka How to use LLaVa nodes: -1. **Download the Qwen 2.5 VL gguf file**: -[https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main) - Choose a gguf file **without** the mmproj in the name - Example gguf file: - [https://huggingface.co/Mungert/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf](https://huggingface.co/Mungert/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf) - Copy this file to ComfyUI/model/Llavacheckpoint. -2. **Download the Qwen 2.5 VL mmproj file (this is clip model):** -[https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main) - Choose a file **with** mmproj in the name - Example mmproj file: - [https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-mmproj-bf16.gguf](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-mmproj-bf16.gguf) +1. **Download the Qwen 2.5 VL gguf file**: + [https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main) + Choose a gguf file **without** the mmproj in the name + Example gguf file: + [https://huggingface.co/Mungert/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf](https://huggingface.co/Mungert/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf) Copy this file to ComfyUI/model/Llavacheckpoint. +2. **Download the Qwen 2.5 VL mmproj file (this is clip model):** + [https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/tree/main) + Choose a file **with** mmproj in the name + Example mmproj file: + [https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-mmproj-bf16.gguf](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-mmproj-bf16.gguf) + Copy this file to ComfyUI/model/Llavacheckpoint. 3. **Run ComfyUI and add to workflow node LLava Advanced [LP]. Choose ckpt model and clip, pin image and write prompt.** ## Autotagger nodes based on WD tagger models