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 and action-packed prompt prompts = { "cooking_for_bitcoin_whale_shooter": ( "A third-person shooter-style scene featuring a badass female character in tactical gear, " "engaged in an intense action sequence. She is in a dynamic pose, holding a futuristic cooking utensil like a weapon, " "as she prepares a meal for a massive, armored whale sitting at a high-tech kitchen table. " "The whale, wearing a glowing Bitcoin chain, looks smug and untouchable, surrounded by holographic displays. " "The woman, with a determined expression, feeds the whale while staying alert, as if ready for battle. " "In the background, a sleek and dangerous-looking shark with a Bitcoin symbol on its fin circles the scene, " "adding to the tension. 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 action-packed, capturing the high stakes and energy 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()