Unsupervised Semantic Correspondence Using Stable Diffusion 483 Supplementary Material 484 In this supplementary material we: 485 provide per-category quantitative results on SPair71k dataset; 486

U-Net layers: Randomly selected within the range of 7 to 15. Learning rate for prompt optimization:: A random value between 0.01 and 5e-4 was chosen for Noise level: Randomly chosen within the range t =1 to t = 10, where T = 50. Number of optimization steps: Randomly chosen in the range of 100 to 300. Learning rate for prompt optimization: 2. 37 10 Image crop size: Crop size as a percentage of the original image is 93. The architecture in Figure 3 is based on the stable diffusion model version 1.4 [ Correct correspondences are indicated in blue, while incorrect ones are depicted in orange. Correct correspondences are indicated in blue, while incorrect ones are depicted in orange.