| pip install tensorflow keras_cv --upgrade --quiet | |
| import time | |
| import keras_cv | |
| from tensorflow import keras | |
| import matplotlib.pyplot as plt | |
| model = keras_cv.models.StableDiffusion(img_width=512, img_height=512) | |
| images = model.text_to_image("photograph of an astronaut riding a horse", batch_size=3) | |
| def plot_images(images): | |
| plt.figure(figsize=(20, 20)) | |
| for i in range(len(images)): | |
| ax = plt.subplot(1, len(images), i + 1) | |
| plt.imshow(images[i]) | |
| plt.axis("off") | |
| plot_images(images) |