This Lora was trained on a segmented video clips extracted in uniform frame sampling mode, using a compilation of 1280x720 "Drift Meets" video &amp; took around 13 hours to train. Prompt Pattern: video of a drift meet, FXF {PROMPT}, in the style of FXF full example: video of a drift meet, FXF The video clip depicts a nighttime scene on a city highway. The camera follows a white sports car as it drives on the right side of the road, passing a black car with its headlights on. The white car has distinctive red taillights and a sleek, aerodynamic design. The highway is illuminated by streetlights and the headlights of the vehicles, creating a bright and dynamic atmosphere. In the background, tall buildings with numerous lights can be seen, indicating an urban setting. The overall scene in the style of FXF The complete list of captions used to train the model is available in the training data link, and as a prompt list inside my DJZ nodes pack for comfyui. ( fxf-tokyo-meet.txt )

Files with SHA256: f76f71022fd452fc511000c9166f18888fa2816fc5c92df3443a6843fedaa90c