This v2v LoRA removes anything obscuring the scene. It was made to "reconstruct" ground truth video from sparse data (when details of the scene can only partially be seen or the scene has semi-occlusion like smoke or haze.) If the data is completely invisible from any of the frames then it will have to be hallucinated, but if it is present anywhere, even semi-transparently, then it will be retained. Adjust the strength of the LoRA to remove more layers or go "deeper" into the scene. Start at a strength of about 1.25 and adjust to your liking. More complex removal requires higher strength.

Example prompt: "Remove the green plant from the foreground." is all that is needed to perform the task, but if details of the scene need to be hallucinated, it will be best to describe the scene in the background.

LTX still struggles with fast movement, but if you interpolate the input to 50fps and run inference at 50fps then it should help with fast moving scenes.

See examples for what this LoRA can do. >>Example Workflow Here<<

The split LTX models in the workflow can be downloaded from Kijai's page: https://huggingface.co/Kijai/LTX2.3_comfy/tree/main