Visionatrix

Simplify your AI image generation workflows with Visionatrix—an intuitive interface built on top of ComfyUI

🚀 Features

• 🔧 Easy Setup & Updates: Quick setup with simple installation and seamless version updates.
• 🖥️ Minimalistic UI: Clean, user-friendly interface designed for daily workflow usage.
• 🌐 Prompt Translation Support: Automatically translate prompts for media generation.
• 🛠️ Stable Workflows: Versioned and upgradable workflows.
• 📈 Scalability: Run multiple instances with simultaneous task workers for increased productivity.
• 👥 Multi-User Support: Configure for multiple users with ease and integrate different user backends.
• 🤖 LLM Integration: Effortlessly incorporate Ollama/Gemini as your LLM for ComfyUI workflows.
• 🔌 Seamless Integration: Run as a service with backend endpoints for smooth project integration.

🖼️ User Interface

Access the Visionatrix UI at http://localhost:8288 (default).

📹 Click to see a short video demo

📥 Installation

Requirements

• Python 3.10 (recommended) or higher
• GPU with at least 10 GB of memory (12GB recommended)

Quick Start (Linux/macOS/WSL)

Install prerequisites (Python, Git, etc.)

For Ubuntu 22.04:

sudo apt install wget curl python3-venv python3-pip build-essential git

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

Quick Start (Windows)

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.

1. Download: Visit our Releases page.
2. Get the Portable Archive: Download vix_portable_cuda.7z.001 (and vix_portable_cuda.7z.002 if present).
3. Unpack and Run: Extract the archive and run run_nvidia_gpu.bat or run_cpu.bat.

Manual Installation

For manual installation steps, please refer to our detailed documentation.

🔄 Updating Visionatrix

For Linux/macOS

Run the easy_install script and select the "Update" option.

python3 easy_install.py

For Windows (Portable Version)

Updating the portable version involves:

1. Unpacking the new portable version.
2. Moving vix_models, vix_tasks_files, and tasks_history.db from the old version to the new one.
3. In most cases, this should be sufficient unless there are breaking changes.

📚 Documentation and Support

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
    • Installation
    • Working Modes
    • Command Line Options
    • Environment Variables
  • Flows Developing
    • Vix Workflows
    • Technical Information
    • Gated Models
    • Creating Workflows
  • Common Information
    • FAQ
    • Hardware FAQ
    • Hardware Results
    • OpenAPI