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                         <p>
                             Utilizing T2I models for editing real images is usually done by inverting the sampling
                             process to identify a noisy xT that will be denoised to the input image x0.
-                            We draw characteristics from edit friendly DDPM inversion [] and propose an efficient
+                            We draw characteristics from <a href="https://inbarhub.github.io/DDPM_inversion/" target="_blank">edit friendly DDPM inversion</a> and propose an efficient
                             inversion method that greatly reduces the required number
                             of steps while maintaining no reconstruction error.
                             DDPM can be viewed as a first-order
                             SDE solver when formulating the reverse diffusion process as an SDE. This
                             SDE can be solved more efficiently—in fewer steps—
                             using a higher-order differential equation solver, hence we derive a new, faster
-                            technique - dpm-solver++ Inversion.
+                            technique - <b>dpm-solver++ Inversion</b>.
 
                         </p>