From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed open-world action-RPG prompt prompts = { "open_world_action_rpg_scene": ( "A dynamic and immersive scene from an open-world action RPG, where a powerful, majestic whale character, adorned with a glowing Bitcoin chain, " "glides through a vast, open oceanic world. The environment is rich with detail, featuring towering underwater ruins, vibrant coral reefs, and schools of fish. " "The whale, a legendary creature in the game, is a key quest figure, and it is depicted as both a guide and a formidable ally. " "Nearby, the protagonist, a skilled and agile warrior in customized, ocean-themed armor, swims with purpose, equipped with a trident and various gear for underwater exploration. " "The protagonist is ready for action, eyes fixed on a distant objective, while the whale emits a soft, ethereal glow, highlighting its importance. " "The open world is teeming with life, from bioluminescent creatures to hidden treasures scattered across the seabed, inviting players to explore every nook and cranny. " "The overall scene is a blend of action, exploration, and the thrill of discovery, capturing the essence of an open-world RPG where players forge their own path through a richly detailed environment." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()$