WAN I2V Pipeline Shows Persistent Motion Blur in High-Detail Areas

A community member on Reddit (u/R34vspec) has documented a significant motion blur issue in WAN's image-to-video (I2V) generation when using the FFLF (Frame from Last Frame) stitching method. The user reports that even with increased sampling steps, high-detail areas — particularly eyes and hair — consistently exhibit blurring, degrading output quality. The setup includes triple samplers and speed-up LoRAs (low-rank adaptation models), suggesting that the problem persists across common performance optimizations. This indicates a potential fundamental limitation in WAN's temporal consistency handling during FFLF-based video generation.

The post has sparked discussion among WAN users, many of whom confirm similar experiences with the I2V pipeline. Some speculate that the blurring may stem from the way FFLF propagates errors from earlier frames, while others suspect a conflict between the triple sampler setup and the speed-up LoRAs. As of now, no verified workaround or official patch has been released. For professionals using WAN for video creation, this issue could meaningfully impact applications requiring crisp detail in facial features or motion sequences.