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FearRaptor/

AIVideoGenerator

GitHub

FearRaptor/AIVideoGenerator is a local-first NSFW AI video generation tool that runs processing on the user’s machine, supporting features like face swap, body generation, and pose control via ControlNet/OpenPose. It targets Windows and requires .NET 8 and CUDA-capable GPUs.

70stars
8forks
0issues
MITlicense
2026since
Star historydaily snapshots by VibeCrowd

Collecting history — the radar snapshots this repo daily. The trend line appears after 3 days of data (1 so far).

Reviewgenerated from repository data · Jul 18, 2026

What it is

AI Adult Videos Generator is a local-first NSFW content creation tool powered by uncensored AI models. All processing runs on your local GPU — no data is sent to cloud servers, ensuring complete privacy. The application provides deepfake face swapping, AI-driven body generation, advanced pose control via ControlNet and OpenPose, multi-layer scene composition, expression transfer, and batch rendering within a professional studio interface.

How it works

The project uses a modular structure with components for face swap (DeepFake engine), body generation (AI body synthesis from references), pose control (ControlNet + OpenPose), expression transfer, and multi-layer scene rendering. It supports saved character profiles and queue-based batch rendering, with local processing to avoid cloud dependencies.

Getting started

  • Install .NET 8.0 Runtime
  • Install CUDA Toolkit 12.x
  • Download the latest release and extract to a private folder
  • Run AI-Adult-Videos-Generator.exe
  • Download uncensored models through the built-in Model Manager
  • All generation is performed locally — no API keys required

Recent releases

There's no latest release listed in the repository metadata (RELEASES: latest 0: - none).

Traction

Stars: 70 Forks: 8 Open issues: 0 Last push: 2026-07-14

Caveats

License: MIT Age restriction: 18+ adults only; local-only processing ensures privacy. The README specifies requirements for Windows 10/11, .NET 8.0 Runtime, CUDA 12.x, NVIDIA GPUs, and other hardware prerequisites.

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