PixInsight Modules
This page describes the StarNet and DeepSNR PixInsight modules: which repository to add, what changed in the current backend/runtime setup, and where the shared installation instructions live.
PixInsight module releases
StarNet and DeepSNR are now installed in PixInsight through tool-specific repositories. Current releases use a single repository for each tool.
The old TensorFlow/runtime repository path is deprecated for new installs.
Release matrix
The PixInsight release matrix has four package lanes for each tool: Linux x64, Windows x64, macOS x64, and macOS ARM64. Each lane ships both StarNet2 and DeepSNR through the tool-specific PixInsight repositories.
Current ORT/CoreML PixInsight packages are self-contained per module. Users do not install a separate TensorFlow, Torch, or backend-runtime package.
Current PixInsight release matrix
| Operating system | Architecture | StarNet2 version | DeepSNR version | Backend |
|---|---|---|---|---|
| Linux | x64 | 2.5.0 | 1.2.0 | ONNX/ORT |
| Windows | x64 | 2.5.0 | 1.2.0 | ONNX/ORT |
| macOS | x64 | 2.5.0 | 1.2.0 | ONNX/ORT |
| macOS | ARM64 | 2.5.0 | 1.2.0 | CoreML |
Updates in the latest releases
Recent PixInsight module updates focus on simpler installation, current runtime backends, and clearer behavior:
- TensorFlow packages are discontinued; remove old
/tensorflow/repository URLs or ignore errors from those old repositories. - Current packages use ORT/CoreML instead of TensorFlow: ONNX/ORT on Linux, Windows, and macOS x64; CoreML on macOS ARM64.
- StarNet2 adds an unscreen star-layer output option.
- StarNet2 2.5.0 also improves PixInsight console output with clearer backend and CPU/runtime information.
Installation information
- StarNet PixInsight module repo Repository URL and current StarNet module notes
- DeepSNR PixInsight module repo Repository URL and current DeepSNR module notes
- Installation guide Shared PixInsight repository setup steps and screenshots