W25 Realistic is an experimental LoRA designed to enrich and transform the visual language of WAN 2.2 — both for image-to-video and text-to-video generation — pushing it closer to the look and feel showcased in the WAN 2.5 preview.
⚠️ Important: This is not an official model, nor a distilled version of WAN 2.5. The dataset does not originate entirely from 2.5 outputs; instead, it is inspired by them. It combines a heterogeneous mix of sources, including highly realistic and cinematic clips curated to capture the emotional depth and visual intensity seen in the 2.5 previews.
By applying this LoRA, WAN 2.2 generations tend to become:
🎥 More cinematic: richer composition, improved lighting behavior, and more nuanced camera dynamics.
❤️ More emotional: heightened atmosphere, better storytelling tone, and expressive visual language.