From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed third-person action game-style prompt prompts = { "cooking_for_bitcoin_whale_action_game": ( "A dynamic, third-person action game scene where a powerful, muscular whale, adorned with a glowing Bitcoin chain, is the central character. " "The whale is engaged in an intense standoff in a futuristic, dystopian kitchen that doubles as a high-tech battle arena. " "A beautiful woman in tactical gear, with a sleek and agile build, is preparing to serve the whale food, but her posture and expression indicate " "she's ready to spring into action at any moment. Her eyes are locked on the whale, who is smirking confidently, seemingly unaware of the impending danger. " "Behind the whale, the environment is filled with destructible objects, flickering lights, and a sense of tension, as if a battle is about to break out. " "The camera angle is over-the-shoulder, focusing on the woman as she moves stealthily, ready to either serve or strike, depending on the player's choice. " "The scene is packed with action elements, including explosions, debris, and other characters who are either allies or enemies, adding to the chaos and intensity. " "The overall atmosphere is gritty and suspenseful, capturing the high stakes and adrenaline-pumping action typical of a third-person shooter." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()$