From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the highly detailed and emotive prompt prompts = { "sensual_whale_scene": ( "A provocative and detailed digital painting featuring a massive, self-assured whale with a sparkling Bitcoin chain around its neck. " "The whale's expression is one of satisfaction, with a broad, self-satisfied smile. " "Mera, the Aqua Woman from Aquaman, is shown riding the whale in a dominant, sensual pose. " "Her face is flushed and her eyes are closed in an ecstatic expression, clearly experiencing pleasure. " "She is gripping the Bitcoin chain around the whale's neck, which is the source of her intense enjoyment. " "In the background, Aquaman is depicted in a dramatic pose, tears streaming down his face, showing his emotional distress and disbelief. " "The underwater environment is vividly colored, with exaggerated features to highlight the surreal and emotional contrast of the scene." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()$