A Demonstration of Architectures Figure 11: The architecture of Stable Diffusion [ 4

Table 7: We randomly select 100 samples for each fine-tuning. CelebA-HQ [27], we select 10 people, below are their id-number in dataset.Dataset fine-tuning Classes ImageNet [26] "wearing glasses" may be expressed with lower Higher α expresses more editing. If using A/B training, the images become "colorful castle" and emphasize the "laptop". We report three results for each input image. There are some mistaken cases, such as the "teddybear" But fine-tuning would fix the incompatible.