chaiNNer is a node-based image processing application that lets users build visual workflows by connecting processing nodes.
Originally developed as an AI upscaling tool, it has grown into a flexible image processing environment for more general tasks, including batch image work and video-related processing. The software is cross-platform, provides an integrated Python environment, and uses a dependency manager to install supported backends and frameworks.
This is free and open source software.
Key Features
- Uses a visual node editor to create customizable image processing pipelines.
- Supports AI upscaling and other image processing workflows.
- Can batch process folders of images.
- Includes nodes for video input and video output workflows.
- Supports frameworks including PyTorch, NCNN, ONNX, and TensorRT.
- Can automatically download and use an isolated integrated Python build.
- Lets users install required components through a built-in dependency manager.
- Cross-platform support – runs on Linux, Windows, and macOS.
Website: github.com/chaiNNer-org/chaiNNer
Support:
Developer: chaiNNer-org
License: GNU General Public License v3.0
chaiNNer is written in Python. Learn Python with our recommended free books and free tutorials.
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Read our verdict in the software roundup.
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