From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

$from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed turn-based RPG prompt prompts = { "turn_based_rpg_scene": ( "A strategic and intense scene from a turn-based RPG, set in a mystical oceanic arena where the players are engaged in a critical battle. " "The setting is a grand, ancient underwater temple with glowing runes on the walls, surrounded by pillars of coral and bioluminescent plants. " "At the center of the scene, a powerful, enigmatic whale adorned with a shining Bitcoin emblem hovers majestically, ready to make its move. " "Opposite the whale, three adventurers stand in battle formation, each with unique abilities and weapons: a fierce warrior wielding a trident, " "a cunning mage casting a spell with glowing blue energy, and a skilled healer holding a staff, ready to support the team. " "The scene captures the tension of the moment, with the whale's glowing eyes locked onto the adventurers, and the adventurers poised for action, " "strategically planning their next moves. The overall atmosphere is one of high stakes and tactical depth, where every decision matters, and the outcome of the battle hangs in the balance." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()$