From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed first-person shooter-style prompt prompts = { "cooking_for_bitcoin_whale_fps": ( "A first-person shooter-style scene where the player character, shown from a first-person perspective, " "is holding a futuristic cooking utensil like a weapon, aiming it at a massive, armored whale sitting at a high-tech kitchen table. " "The whale, wearing a glowing Bitcoin chain, looks imposing and untouchable, with holographic Bitcoin symbols floating around it. " "The player's view includes a pair of gloved hands holding the utensil, ready to serve the whale while maintaining a combat stance. " "In the player's peripheral vision, a sleek shark with a Bitcoin symbol on its fin lurks in the shadows, representing a potential threat. " "The environment is dark and gritty, with neon lights and high-tech gadgets typical of a sci-fi shooter game. " "The overall atmosphere is intense and immersive, capturing the tension and focus of a first-person shooter." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()$