What is chaiNNer?
A node-based image processing GUI aimed at making chaining image processing tasks easy and customizable. Born as an AI upscaling application, chaiNNer has grown into an extremely flexible and powerful programmatic image processing application. ChaiNNer gives you a level of customization of your image processing workflow that very few others do. Cross-platform for Windows, macOS, and Linux.
Key Features
Visual Node Editor
Build processing pipelines by dragging and connecting nodes in an intuitive visual interface. Full control over your workflow with incredibly complex tasks just by connecting a few nodes together.
Comprehensive Processing
Full suite of image processing operations including filters, color adjustments, transforms, blending, and effects. Automate any task you can do in traditional image editing software.
AI Upscaling
Leverage community-trained AI upscaling models with support for PyTorch, NCNN, ONNX, and TensorRT. Use architectures like ESRGAN, SPAN, OmniSR, and many more.
Smart Validation
Built-in type system and real-time validation ensure your chains are correct. Catch errors before processing while maintaining flexibility.
GPU Accelerated
Full GPU support for Nvidia (CUDA/TensorRT), AMD (ROCm/NCNN), Apple Silicon (MPS), and Intel (NCNN). CPU fallback for all frameworks.
Batch Processing
Process entire folders of images or video frames through your chains, or automate with command-line interface (CLI) support for integration into larger workflows.
Self-Contained
No existing Python installation needed. ChaiNNer downloads an isolated integrated Python build and manages all dependencies automatically.
Cross-Platform
Runs on Windows, macOS, and Linux. Available as an installer or portable zip for all platforms.
See It In Action
chaiNNer's intuitive node-based interface makes complex image processing simple
