–disable-white-mask Oh… I missed that option… It doesn’t look like that option will magically solve everything, but for now I made one final version where it can be used just in case: https://huggingface.co/spaces/John6666/ltx2.3-icedit-insight-rm
LLM-generated explanation:
The `disable-white-mask`
option turns off the pipeline’s default white conditioning mask. In this workflow, that mask seems to help preserve the original video structure while applying the IC-LoRA edit. Turning it off may give the model more freedom to modify stubborn areas, so it might help when a centered translucent watermark is barely changing at all.
However, this is not a guaranteed watermark-removal switch. It does not specifically detect the watermark, and it does not create a clean ground-truth background. It only changes how strongly the edit is constrained by the original video conditioning. So the expected benefit is: the watermark may change more visibly than before. The expected limitation is: if the model cannot infer a clean replacement for that region, the watermark may still remain, or only become partially blurred.
The trade-off is quality and stability. With disable-white-mask
enabled, the model can also modify things we want to preserve, such as players, grass texture, field lines, jerseys, text, or camera-motion consistency. For that reason I added it as a last-try preset rather than the default.
Also, I do not have your exact test video, so I cannot reproduce your specific case on my side. I can only test similar examples or synthetic/HF examples. Based on the tests so far, this model does work on some simple watermark examples, but it does not look very promising for a large centered translucent sports-broadcast watermark like this. If the new last-try preset still leaves the watermark almost unchanged, then this is probably a model/task limitation rather than just a missing UI option.
If possible, please test only a short 25-frame clip first. If you can share a short sample clip or the generated probe/debug zip, I can look at the exact behavior more accurately.