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ℹ️ HunyuanVideo-Foley

♨️Portable by LeeAeron

💻 nVidia GTX10xx-16xx, RTX20xx-50xx

♻️ https://huggingface.co/datasets/LeeAeron/HunyuanVideo-Foley

💠 Git: https://github.com/Tencent-Hunyuan/HunyuanVideo-Foley

  • Go to Huggingface and download the batch file.
  • Place the batch file in an empty folder, preferably at the root of the drive, with a short name in Latin characters.
  • Run the batch file and select option 5 - install.
  • The batch file downloads portable Git and Microconda, creates a portable venv, installs Torch 2.9.1 and Cuda 12.8, downloads models, and then deletes part of the downloaded cache. After installation, the batch file will automatically launch the browser and begin downloading the google--siglip2-base-patch16-512 and laion--larger_clap_general models to the cache folder. Please be patient and wait for the shell to start (monitor in the console).

HunyuanVideo-Foley

🚮 Changelog: 01/16/2026 (night from January 15 to January 16)

  • Expanded the installer code, redirected the entire cache from the system USERS folder to the local cache folder where possible.
  • ❗️ Torch 2.9.1 CUDA 12.8 is now installed - should be compatible with the RTX50xx (but also works on GTX10-16 + RTX20-50, tested on GTX1660Ti Mobile).
  • Added download of ffmpeg full build shared from my hugginface (build for HunyuanVideo-Foley).
  • Added additional installation of several important modules and gradio.
  • Added 4 launch modes to the *.BAT MENU: XXL/XL model in two modes - without and with Offload. OFFLOAD uses VRAM and RAM, so if you have 32GB+ of RAM, use OFFLOAD.
  • Added downloading of video examples during installation (they now work in the UI)

01/15/2026

  • Initial version.
  • Based on the official GIT, so no Russian in the UI.
  • "Monkey protection" - if you try to run it without installation, it will automatically install the portable version.

❗️ IMPORTANT: After generation, the console will show the error "The remote host forcibly terminated an existing connection." THIS IS NORMAL, IT'S A CHARACTERISTIC OF THE GRADIO AND PYTHON VERSIONS.

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