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Level Pixel Dev
2025-05-29 07:52:47 +06:00
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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)
@@ -38,14 +38,23 @@ Before running ComfyUI with this node package, you should make sure that you hav
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):
4) `llama-mtmd-cli` - if you want to use Qwen2.5-VL gguf, you need to download the Llama.cpp (llama-mtmd-cli) libraries from this link:
Download: [https://github.com/ggml-org/llama.cpp/releases](https://github.com/ggml-org/llama.cpp/releases)
Choose the archive that suits your system. Probably, for you it will be `llama-b5317-bin-win--cu12.4-x64.zip`
After downloading, go to the path:
`ComfyUI\custom_nodes\ComfyUI-LevelPixel-Advanced\nodes\vlm\llama-mtmd-cli`
And unzip the downloaded archive here.
The llama-mtmd-cli folder should contain the llama-mtmd-cli.exe file and other libraries from the archive:
`ComfyUI\custom_nodes\ComfyUI-LevelPixel-Advanced\nodes\vlm\llama-mtmd-cli\llama-mtmd-cli.exe`
### Installation package using ComfyUI Manager (recommended):
Install [ComfyUI Manager](https://github.com/ltdrdata/ComfyUI-Manager) and do steps introduced there to install this repo 'ComfyUI-LevelPixel-Advanced'.
The nodes of the current package will be updated automatically when you click "Update ALL" in ComfyUI Manager.
### Alternative installation:
### Alternative installation package:
Clone the repository:
`git clone https://github.com/LevelPixel/ComfyUI-LevelPixel-Advanced.git`
@@ -84,21 +93,37 @@ For example, you can run the following command in the `python_embeded` folder (i
After that, run ComfyUI again.
If these tips don't help - study the logs and the cause of the error, and then talk to some powerful neural network about this error - it will probably help you solve your problem.
If you still get errors, restart your PC, this may help (sometimes during installation the cache gets damaged and remains in the computer's RAM).
If these tips don't help - study the logs and the cause of the error, read docs about building llama.cpp ([https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md](https://github.com/ggml-org/llama.cpp/blob/master/docs/build.md)), and then talk to some powerful neural network about this error - it will probably help you solve your problem.
# Features
All nodes Level Pixel:
<img width="1171" alt="level-pixel-nodes_2" src="https://github.com/user-attachments/assets/78948649-daac-44be-b8db-9d7e0d8f9b01">
<img width="1171" alt="level-pixel-nodes_2" src="https://github.com/user-attachments/assets/792e43d8-fd96-4a27-bf4b-db84261b6014">
## LLM nodes
## Multimodal Generator node
A node that generates text using the LLM model with subsequent unloading of the model from memory. Useful in those workflows where there is constant switching between different models and technologies under conditions of insufficient RAM of the video processor.
Multimodal Generator Advanced - New node on new technology of multimodal neural models based on GGUF. Supports Qwen2.5-VL of GGUF format.
Experimental node! It is not recommended to use it in fully autonomous workflows yet.
Our LLM nodes support the latest LLM and CLIP models, and should support future ones (please let us know if any models stop working).
How to use Multimodal Generator node:
The core functionality is taken from [ComfyUI_VLM_nodes](https://github.com/gokayfem/ComfyUI_VLM_nodes) and belongs to its authors.
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/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf](https://huggingface.co/Mungert/Qwen2.5-VL-7B-Instruct-GGUF/resolve/main/Qwen2.5-VL-7B-Instruct-q8_0.gguf)
Copy this file to ComfyUI/models/LLavacheckpoints.
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/models/LLavacheckpoints.
3. **Run ComfyUI and add to workflow node Multimodal Generator Advanced [LP]. Choose ckpt model and clip, pin image and write prompt.**
## LLaVa nodes
@@ -108,21 +133,17 @@ Our LLava nodes support the latest LLM and VLM models, and should support future
The core functionality is taken from [ComfyUI_VLM_nodes](https://github.com/gokayfem/ComfyUI_VLM_nodes) and belongs to its authors.
How to use LLaVa nodes:
Mainly supports only Mistral (with clip for images) and Llama (with clip for images) models.
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.**
At the moment the nodes are obsolete (but still in support status), instead of them it is supposed to develop "Multimodal Generator nodes" based on llama-mtmd for using Qwen2.5-VL, Bagel and other multimodal neural networks.
## LLM nodes
A node that generates text using the LLM model with subsequent unloading of the model from memory. Useful in those workflows where there is constant switching between different models and technologies under conditions of insufficient RAM of the video processor.
Our LLM nodes support the latest LLM and CLIP models, and should support future ones (please let us know if any models stop working).
The core functionality is taken from [ComfyUI_VLM_nodes](https://github.com/gokayfem/ComfyUI_VLM_nodes) and belongs to its authors.
## Autotagger nodes based on WD tagger models
@@ -132,6 +153,26 @@ This node allows it to be used in cycles and conditions (in places where it is n
The core functionality is taken from [ComfyUI-WD14-Tagger](https://github.com/pythongosssss/ComfyUI-WD14-Tagger) and belongs to its authors.
## Image Remove Background
A more improved version of nodes for removing background for ComfyUI with an extended list of models.
There are three separate nodes that implement different functionality for different neural models:
* `Image Remove Background (RMBG)` - RECOMMENDED! The most powerful node to use, which uses the most powerful model RMBG-2.0 for background removal.
* `Image Remove Background (BiRefNet)` - Recommended for super-fast background removal with high quality. Uses the latest generation BiRefNet models that perfectly remove any background in a fraction of a second on the GPU.
* `Image Remove Background (rembg)` - Not recommended for normal use and requires additional settings (read below). It differs in that it allows you to include other special types of neural networks to remove the background in certain situations, but the models will not always be the latest generation for this node.
To use on GPU, at least CUDA 12.4 (Pytorch cu124) is required, so I recommend upgrading to newer versions of ComfyUI and Pytorch.
To use `Image Remove Background (rembg)` effectively on your GPU, you should make sure that you do not have onnxruntime installed together with onnxruntime-gpu. When you run ComfyUI, my package will tell you in the console that you have a conflict between onnxruntime and onnxruntime-gpu.
Solution:
Remove onnxruntime, leaving only pure onnxruntime-gpu.
To do this, do the following:
Close ComfyUI and run the script at `.\ComfyUI\custom_nodes\ComfyUI-LevelPixel-Advanced\scripts\remove_onnxruntime.bat`
The core functionality is taken from [RemBG nodes for ComfyUI](https://github.com/Loewen-Hob/rembg-comfyui-node-better) and from [ComfyUI-RMBG](https://github.com/1038lab/ComfyUI-RMBG) and belongs to its authors.
## Recognize Anything Model (RAM++)
The counterpart to Segment Anything Model (SAM)
@@ -158,8 +199,16 @@ WD autotagger node for ComfyUI/[ComfyUI-WD14-Tagger](https://github.com/pythongo
RAM node for ComfyUI/[ComfyUI-Hangover-Recognize_Anything](https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything) - Source ComfyUI nodes for RAM (source repository is archived, but we will continue to support RAM nodes)
RAM node for ComfyUI/[ComfyUI-Hangover-Recognize_Anything](https://github.com/Hangover3832/ComfyUI-Hangover-Recognize_Anything) - Source ComfyUI nodes for RAM (source repository is archived, but we will continue to support RAM nodes)
RemBG nodes for ComfyUI/[rembg-comfyui-node](https://github.com/Loewen-Hob/rembg-comfyui-node-better) - RemBG nodes for ComfyUI.
RemBG software package/[rembg](https://github.com/danielgatis/rembg) - Software to remove background for any object in the picture.
RMBG nodes for ComfyUI/[ComfyUI-RMBG](https://github.com/1038lab/ComfyUI-RMBG) - Thanks for the awesome code and implementation of using BiRefNet and RMBG-2.0 models in very convenient and customizable nodes. Note - when using Image Remove Background (RMBG) and Image Remove Background (BiRefNet) you agree to the GPL-3.0 License as stated by the original author of the functionality. The rest of the ComfyUI-LevelPixel-Advanced package uses the Apache-2 License, as the rest of the package does not use Image Remove Background (RMBG) and Image Remove Background (BiRefNet) directly.
# License
Copyright (c) 2024-present [Level Pixel](https://github.com/LevelPixel)
Licensed under Apache License
Licensed under Apache-2.0 License