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       Key highlights driving our model's exceptional speed and fidelity include: <br>
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       <li>Parallel DiT architecture with 16-channel VAE, enabling maximum garment fidelity and fine detail retention </li>
       <li>CFG-augmented consistency distillation, allowing generation in as few as 8 inference steps without needing CFG during inference</li>
       <li>Enhanced dilated clothing-agnostic masking strategy, resulting in more accurate garment outlines</li>
       <li>Trained on 1M+ proprietary garment-image pairs, spanning flatlays, model-to-model scenarios, and a wide diversity of garment types</li>
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-        Please note that “1 second” refers to the try-on generation’s actual processing time. In pactice, additional pre-processing is applied to the model image with computing intermediate representations, and it may add to the overall latency.<br>
+        <sup>*</sup>Please note that “1 second” refers to the try-on generation’s actual processing time. In pactice, additional pre-processing is applied to the model image with computing intermediate representations, and it may add to the overall latency.<br>
         However, these pre-processing overheads can be largely optimized with caching, and deliver a near real-time experience in applications.
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