Looking Ahead's 1.3B image-to-video example stopped on my Windows machine before inference started:

ModuleNotFoundError: No module named 'fcntl'

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The machine had an RTX 5090. FlashAttention 4 was installed. Neither was enough to get past the import.

My fix, TencentARC/Looking-Ahead PR #2 , was merged on October 23, 2026 (UTC). With the patch, the tested 1.3B example produced 80 frames at 768×432 on Windows 11 , using PyTorch's scaled dot-product attention fallback.

The change spans six files. The interesting part is how three separate assumptions had to be removed before the fallback actually worked end to end.

Why I wanted to run Looking Ahead

Looking Ahead is a video-generation research project from researchers at Nanjing University, Tencent ARC Lab, and Zhejiang University.

Its method, Future Chunk Prediction (FCP) , addresses a shortcut in autoregressive video training: neighboring video chunks can be similar enough that a model relies on local…