
chaiNNer
chaiNNer is a free desktop node editor for building image processing pipelines on Linux, macOS, and Windows.
What chaiNNer is
chaiNNer is a free desktop node editor for building image processing pipelines on Linux, macOS, and Windows. It supports AI upscaling up to 8x, along with resizing, background removal, color work, blending, format conversion, batch processing, and video frames. Models can run through PyTorch, NCNN, ONNX, or TensorRT, with CPU fallback. Its maintained Spandrel package supports ESRGAN, SPAN, OmniSR, and other architectures, while OpenModelDB is suggested for community-trained models. Chains can branch conditionally, loop through folders or video, perform math, and build text or filenames from values. Saved chains can run from the command line as part of a larger pipeline. On first launch, chaiNNer downloads an isolated Python build and manages dependencies through its built-in Dependency Manager, though users can choose system Python instead. The maker describes it as a GPLv3 hobby project with nothing gated behind payment. The download page warns that macOS installation may show a warning because code signing was disabled for Alpha v0.25.1 to address build issues; ONNX DirectML support is noted as broken in v0.25.0.
Good
- Free, with nothing gated behind payment.
- Supports Linux, macOS, and Windows.
- AI upscaling is supported up to 8x.
- Saved chains can run from the command line.
- Supports several model engines with CPU fallback.
Watch out
- macOS installation may show a warning.
- ONNX DirectML support is noted as broken.
- The maker describes development as at reduced capacity.
Who it suits
chaiNNer suits people building repeatable image-processing workflows, including batch or video-frame pipelines. It is also relevant to users who want to combine supported model engines with node-based branching and command-line runs.
Verdict
chaiNNer combines node-based image processing with model support, batch workflows, and command-line execution. Users should note the macOS installation warning and the stated ONNX DirectML issue.
Plans and prices
From chaiNNer's own pricing page, checked 11 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| Free | Free | Nothing is gated behind payment · GPLv3 hobby project |
The facts
Each one read from chaiNNer's own pages, with the date it was checked.
What it does
- Batch processing
- Yeschecked 20 Sep 2026
- Command line
- Saved chains can be run from the command line as a step in a larger pipeline.checked 11 Oct 2026
- Image processing
- It supports upscaling, resizing, background removal, color work, blending, format conversion, batch runs, and video frames.checked 11 Oct 2026
- Known issue
- The v0.25.0 release notes say ONNX DirectML support is currently broken.checked 11 Oct 2026
- License
- The maker describes chaiNNer as a hobby project under the GPLv3 license.checked 11 Oct 2026
- Maximum scale
- 8xchecked 20 Sep 2026
- Model engines
- It runs models through PyTorch, NCNN, ONNX, or TensorRT, with CPU fallback.checked 11 Oct 2026
- Model support
- Its maintained Spandrel package supports ESRGAN, SPAN, OmniSR, and dozens of other architectures, and the site points users to OpenModelDB for community-trained models.checked 11 Oct 2026
- Purpose
- chaiNNer is a desktop node editor for building image processing pipelines.checked 11 Oct 2026
- Python setup
- On first launch, chaiNNer downloads an isolated Python build and manages dependencies through a built-in Dependency Manager; users can choose system Python instead.checked 11 Oct 2026
- Release caveat
- The download page says the Alpha v0.25.1 release resumed after more than a year without a stable release and that development is at reduced capacity.checked 11 Oct 2026
- Security note
- The download page says macOS code signing was disabled for Alpha v0.25.1 because it caused build issues and warns users they may see an installation warning.checked 11 Oct 2026
- Support
- The maker directs users to Discord for sharing chains, models, and help, and to GitHub issues for bug reports.checked 11 Oct 2026
- Upscaling method
- aichecked 20 Sep 2026
- Workflow features
- Chains support conditional branching, looping over folders or video, math, and building text and filenames from values.checked 11 Oct 2026
Where it runs
- Desktop app
- Yeschecked 20 Sep 2026
- Platforms
- The download page lists Windows installer and portable builds, a macOS installer, and Linux Debian/Ubuntu, Fedora/RHEL, and portable builds.checked 11 Oct 2026
Money
- Free plan
- Yeschecked 20 Sep 2026
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