
Visionatrix
AI Media processing using ComfyUI
Stars: 116

Visionatrix is a project aimed at providing easy use of ComfyUI workflows. It offers simplified setup and update processes, a minimalistic UI for daily workflow use, stable workflows with versioning and update support, scalability for multiple instances and task workers, multiple user support with integration of different user backends, LLM power for integration with Ollama/Gemini, and seamless integration as a service with backend endpoints and webhook support. The project is approaching version 1.0 release and welcomes new ideas for further implementation.
README:
Simplify your AI image generation workflows with Visionatrixβan intuitive interface built on top of ComfyUI
- π§ Easy Setup & Updates: Quick setup with simple installation and seamless version updates.
- π₯οΈ Minimalistic UI: Clean, user-friendly interface designed for daily workflow usage.
- π Prompt Translation Support: Automatically translate prompts for media generation.
- π οΈ Stable Workflows: Versioned and upgradable workflows.
- π Scalability: Run multiple instances with simultaneous task workers for increased productivity.
- π₯ Multi-User Support: Configure for multiple users with ease and integrate different user backends.
- π€ LLM Integration: Effortlessly incorporate Ollama/Gemini as your LLM for ComfyUI workflows.
- π Seamless Integration: Run as a service with backend endpoints for smooth project integration.
- π LoRA Integration: Easy integrate LoRAs from CivitAI into your flows.
Access the Visionatrix UI at http://localhost:8288 (default).
Note: Starting from version 1.10 Visionatrix launches ComfyUI webserver at http://127.0.0.1:8188
-
Python
3.10
or higher. (3.12
recommended) -
GPU with at least
8 GB
of memory (12GB recommended)
Install prerequisites (Python, Git, etc.)
For Ubuntu 22.04:
sudo apt install wget curl python3-venv python3-pip build-essential git
It is also recommended to install FFMpeg dependencies with:
sudo apt install ffmpeg libsm6 libxext6
Download and run the easy_install.py
script:
Note: This script will clone the Visionatrix repository into your current folder and perform the installation. After installation, you can always run
easy_install
from the "scripts" folder.
Using wget:
wget -O easy_install.py https://raw.githubusercontent.com/Visionatrix/Visionatrix/main/scripts/easy_install.py && python3 easy_install.py
Using curl:
curl -o easy_install.py https://raw.githubusercontent.com/Visionatrix/Visionatrix/main/scripts/easy_install.py && python3 easy_install.py
Follow the prompts during installation. In most cases, everything should work smoothly.
To launch Visionatrix from the activated virtual environment:
python -m visionatrix run --ui
We offer a portable version to simplify installation (no need for Git or Visual Studio compilers).
Currently, we provide versions for CUDA/CPU. If there's demand, we can add a DirectML version.
- Download: Visit our Releases page.
-
Get the Portable Archive: Download
vix_portable_cuda.7z
. -
Unpack and Run: Extract the archive and run
run_nvidia_gpu.bat
orrun_cpu.bat
.
For manual installation steps, please refer to our detailed documentation.
Starting from version 1.12, Visionatrix requires the comfyui_models_folder value in the database to be set. It will prompt you for this value during startup if it is not already set.
It can be either a relative path (relative to the ComfyUI
folder) or an absolute one.
You can always change it later by going to Settings
in the UI, clicking on the ComfyUI menu on the left, and entering the new value.
Note: If you are using the default installation, itβs a good idea to set it to
../../VixModels
so that it is on the same level as the Visionatrix root folder.
We highly recommend filling in both the CivitAI token and the HuggingFace token in the settings.
Many models cannot be downloaded by public users without a token.
Run the easy_install
script and select the "Update" option.
python3 easy_install.py
Updating the portable version involves:
- Unpacking the new portable version.
- Moving
vix_models
,vix_tasks_files
, andvisionatrix.db
from the old version to the new one. - In most cases, this should be sufficient unless there are breaking changes.
Hint
You can have a folder with models
, tasks_files
and visionatrix.db
outside the Visionatrix folder.
If you have any questions or need assistance, we're here to help! Feel free to start a discussion or explore our resources:
-
Documentation
- Available Flows
- Admin Manual
- Flows Developing
- Common Information
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