StarNet Software

AI-powered software for star removal and noise reduction in astrophotography.

PixInsight Modules

This page describes the StarNet and DeepSNR PixInsight modules: which repository to add, current releases and system requirements, and where the shared installation instructions live.

DeepSNR PixInsight module repo

Supported PixInsight versions: 1.9.4, 1.9.5, and 1.9.6 or newer. Intel Mac modules remain on PixInsight 1.9.4.

Add the DeepSNR repository in PixInsight to install or update the current DeepSNR module. Current DeepSNR releases use a single repository. 

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Repository URL

  • DeepSNR repository
    https://pixinsight.deepsnrastro.com/
  • Deprecated TensorFlow/runtime repository

    TensorFlow/runtime repository usage is deprecated for the current DeepSNR PixInsight release path. Do not add the TensorFlow/runtime repository for new installs.

Current release

DeepSNR 1.3.1 [Spooky Edition] is updated for PixInsight 1.9.6 or newer on Windows, Linux and Apple Silicon Mac.

Build 0146 ยท Released 2026-10-30

This build is for PixInsight 1.9.6 or newer on Linux x64, Windows x64 and macOS ARM64. Earlier packages remain available for PixInsight 1.9.4 and 1.9.5; Intel Mac support remains on 1.9.4. See the release matrix and system requirements and module reference.

PixInsight 1.9.4 Windows packages support DirectML acceleration. PixInsight 1.9.5 and newer use their own ONNX/ORT with CUDA on compatible NVIDIA setups or CPU; it does not support DirectML. For the 1.9.4 packages, DirectML runtime libraries are not supplied with StarNet Software downloads. They are normally already present on supported Windows 10 and Windows 11 installations; missing DirectML components should be the exception. If DirectML components are missing, see Microsoft's DirectML version history and official DirectML package.

Installation steps

Use the shared Installation guide for the illustrated PixInsight repository setup flow.