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  "path": "/t/problems-with-duplication/176137?page=3#post_45",
  "publishedAt": "2026-06-06T21:25:41.000Z",
  "site": "https://discuss.huggingface.co",
  "textContent": "Dude, don’t waste any more time. I think this will never work. Look at what I asked and what the AI ​​answered: Do you know if this software works well? It’s very new, and I honestly don’t know if it removes watermarks as promised. No, it doesn’t work well in direct web-based interfaces like Hugging Face’s, and there’s a very clear explanation in the Stable Diffusion community. LTX 2.3 is one of the most powerful open-source video AI technologies on the market. However, the specific software you’re testing—JoyFox’s ICEdit-Insight—is an experimental tool based on In-Context LoRA (context-guided editing). The reality of how this software works in practice boils down to the following points: 1. LTX 2.3’s big problem with text. The base LTX 2.3 model was trained on millions of internet videos that already included subtitles and embedded watermarks. Because the AI ​​wasn’t perfectly cleaned up at its core, it has a strong natural tendency to invent or retain text at the bottom of videos. Erasing static text goes against the model’s original nature, making the process unstable. 2. It’s not an automatic eraser. Unlike traditional AI-based erasers (like Inpainting systems that replace flat, static pixels), ICEdit-Insight attempts to regenerate and reinvent the entire video frame by frame based on the text. This means that: If you apply little pressure, the video looks identical and the watermark remains unchanged. If you apply a lot of pressure, it will erase the watermark but alter the players’ faces or distort the ball.\n\nWe need to look for other solutions. If you know of anything, let me know. I’m still investigating, but I don’t think this will ever work. It seems that, as of today, there’s nothing that can erase watermarks without altering or distorting the background.",
  "title": "Problems with duplication"
}