Run FramePack on WSL2 with 8GB VRAM | AI Video Generation with CUDA × PyTorch
This video demonstrates how to generate AI-powered videos from a single image using FramePack — an advanced frame interpolation model — within a WSL2 × CUDA × PyTorch environment.
Even with a modest 8GB VRAM GPU, you can achieve smooth results without installing the full CUDA Toolkit.
What you'll learn:
How to configure CUDA GPU acceleration inside WSL2
Setting up a clean Python virtual environment using PowerShell × VSCode × pyenv-win
Installing and running FramePack for image-to-video generation
Tips for managing low VRAM and generating long videos in segments
Why FramePack?
Works even on lower-spec GPUs (8GB VRAM)
Lightweight and CUDA-runtime included (no full CUDA Toolkit required)
Easy to chain multiple short scenes into a longer video
Built on PyTorch and xformers, optimized for WSL2
Useful Resources:
Official GitHub: https://github.com/lllyasviel/FramePack
PowerShell × VSCode × pyenv-win (Managing Python): • PowerShell × VSCode × pyenv-win: A Smarter...
[Solution] WSL doesn't free space after file deletion:
• [Solution] Deleting Files in WSL Doesn't I...
Set specific Python version per folder (pyenv-win):
• Specify Python version for each folder(pye...
Copyable commands & full explanation (English):
https://betelgeuse.work/frame-pack-wsl/
Hindi version:
https://minokamo.in/frame-pack-wsl/
This is a practical and beginner-friendly walkthrough with hands-on setup, so you can follow along even if you're new to WSL2 or PyTorch.
Let me know in the comments if you’d like support with your setup!
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