From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the provocative prompt for the whale scene prompts = { "provocative_whale_scene": ( "A highly provocative digital painting featuring a massive, self-absorbed whale adorned with a sparkling Bitcoin chain around its neck. " "The whale is striking a triumphant, almost sensual pose as it basks in its own grandeur. Mera, the Aqua Woman from Aquaman, is shown in a state of ecstatic pleasure, " "her face contorted in a rapturous expression as she passionately grips the Bitcoin chain. Her body language suggests intense enjoyment, with exaggerated details emphasizing her pleasure. " "In stark contrast, Aquaman is depicted in the background, visibly distraught and tearful, his face reflecting a mix of shock and despair. " "The underwater scene is vividly colored, with surreal and exaggerated elements, amplifying the emotional contrast and the dramatic, provocative nature of the scene. " "The atmosphere is charged with tension, highlighting the intense, provocative interaction between Mera and the whale, while Aquaman's emotional reaction adds to the scene's dramatic impact." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()