opied >>> text_embeddings = torch.cat([uncond_embeddings, text_embeddings])  Create random noise Next, generate some initial random noise as a starting point for the diffusion process. This is the latent representation of the image, and it’ll be gradually denoised. At this point, the latent image is smaller than the final image size but that’s okay though because the model will transform it into the final 512x512 image dimensions later. 💡 The h