on it"

num_samples_per_row = 2
num_rows = 2 Then run the pipeline (feel free to adjust the parameters like num_inference_steps and guidance_scale to see how they affect image quality), save the generated images and visualize them with the helper function you created at the beginning:   Copied all_images = []
for _ in range(num_rows):
    images = pipeline(prompt, num_images_per_prompt=num_samples_per_row, num_inference_steps=50, guidance_scale