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2026-03-03 16:36:10
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Null-text Inversion for Editing Real Images using Guided Diffusion Models Null-text Inversion for Editing Real Images using Guided Diffusion Models Ron Mokady * 1,2 Amir Hertz * 1,2 Kfir Aberman 1 Yael Pritch 1 Daniel Cohen-Or 1,2 1 Google Research 2 Tel Aviv University * Denotes Equal Contribution Paper Code TL;DR Null-text inversion enables intuitive text-based editing of real images with the Stable Diffusion model. We use an initial DDIM inversion as an anchor for our optimization which only tunes the null-text embedding used in classifier-free guidance. Abstract Recent large-scale text-guided diffusion models provide powerful image generation capabilities. Currently, a massive effort is given to enable the modification of these images using text only as means to offer intuitive and versatile editing tools. To edit a real image using these state-of-the-art tools, one must first invert the image with a meaningful text prompt into the pretrain...
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