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 highly detailed and emotive prompt prompts = { "sensual_whale_scene": ( "A provocative and detailed digital painting featuring a massive, self-assured whale with a dazzling Bitcoin chain around its neck. " "The whale has a broad, satisfied smile, exuding an aura of supreme confidence and charm. " "Mera, the Aqua Woman from Aquaman, is shown in an intense, dominant riding position on top of the whale. " "Her face is flushed with genuine, ecstatic pleasure, with eyes closed and a broad, satisfied smile, as she grips the Bitcoin chain tightly. " "The scene emphasizes her intense enjoyment, with exaggerated, realistic details of her blissful expression. " "In the background, Aquaman is depicted in a dramatic and sorrowful pose, with tears streaming down his face, his expression one of deep anguish and disbelief. " "The underwater environment is vividly colored and surreal, heightening the emotional and dramatic contrast of the scene." ) } # 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()