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LTX-2.5 🌞🌙 IC-LoRA Day-to-Night Relighting It re-renders a daytime video as the same shot at night while preserving composition, framing, camera movement, and subject motion frame-for-frame. 👇
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LTX-2.5 🌊💧 IC-LoRA Water Simulation It adds water to a clip rivers, surf, rain, waterfalls, floods, splashes, spray, and wet-surface specularities while keeping everything identical to the reference. 👇
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LTX 2.5 😃 Clean Plate IC-LoRA It removes people and other dynamic subjects from a source video and reconstructs the empty background, producing a clean "clean plate" of the same scene 👇
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LTX-2.5 🤠 IC-LoRA Deblur It restores sharpness to out-of-focus / defocused video by conditioning on the blurry clip and regenerating it in sharp focus while preserving the original subject, framing, and scene geometry. 👇
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LTX-2.5 😀 🗜️ IC-LoRA Decompression It removes compression artifacts from low bit-rate / heavily-compressed video — macroblocking, chroma bleed, ringing, and banding — while preserving subject identity, framing, and geometry. 👇
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LTX-2.5 🧐 IC-LoRA Colorization restores natural color to grayscale, monochrome, or desaturated video while keeping subject identity, framing, and geometry untouched — only the color information changes. 👇
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LTX 2.5 on 3060/16gb ram, 0.5mp 10 second video took 180 seconds
LTX 2.5 😵😻Open weights released -model (int8-convrot/ BF16/ NVFP4) -temporal/ spatial upscalers -distilled loras -txt encoders/vae 👇
LTX-2.3 has been downloaded 1.65 million times in the last month alone. It's without a doubt the best open-source audio-video model available, and is designed to run locally on consumer GPUs. If you’re a creator who no longer wants to pay AI video subscription, a developer building real tools, or a tinkerer who wants to experiment with running AI models locally on your machine, @ltx_model is the obvious and best choice.
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