Automated build for v3.16.0.
Highlights
- RTX 50-series (Blackwell) support.
setup.pynow auto-detects 50-series cards (5050–5090, RTX PRO 6000, B100/B200/GB200) and installs PyTorch from the CUDA 12.8 (cu128) index. Older cu118/cu121 pins have no sm_120 kernels and error out or fall back to CPU. - Fixed a stale
torch==2.7.0README pin that conflicted with thetorch>=2.10.0floor (CVE-2026-24747). - Documented TV / limited color-range handling (
preserve_color_metadata, on by default).
Which download do I want?
- GPU users (especially RTX 50-series): run from source — clone the repo at this tag and follow the install steps so PyTorch lands on the right CUDA wheel (
cu128for Blackwell). The attached ZIP is a CPU-only PyInstaller build and will not use your GPU. - CPU users / quick try:
VideoSubtitleRemoverPro-v3.16.0-windows.zipis a self-contained Windows build — unzip and runVideoSubtitleRemoverPro.exe.
Note on antivirus / SmartScreen
This ZIP is an unsigned PyInstaller bundle that ships CUDA/torch and fetches model weights on first run. AV engines and SmartScreen commonly flag that pattern heuristically (large packed binary + network calls) as a false positive. Downloaded model weights are verified against vendored SHA-256 hashes. If your AV flags it, that's the heuristic — verify the ZIP hash and run from source if you prefer.
Full Changelog: v3.5.0...v3.16.0