or = torch.manual_seed(seed)

images = sd_pipeline(prompts, num_images_per_prompt=1, generator=generator, output_type="np").images Then we load the v1-5 checkpoint to generate images:   Copied model_ckpt_1_5 = "runwayml/stable-diffusion-v1-5"
sd_pipeline_1_5 = StableDiffusionPipeline.from_pretrained(model_ckpt_1_5, torch_dtype=weight_dtype).to(device)

images_1_5 = sd_pipeline_1_5(prompts, num_images_per_prompt=1, generator=generator, output_ty