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 interactive movie scene prompt prompts = { "interactive_film_scene": ( "A cinematic and emotionally charged digital painting depicting a pivotal scene from an interactive film. " "The scene is set in a dimly lit room with dramatic lighting, casting long shadows and creating a tense atmosphere. " "In the center, two characters are engaged in a crucial conversation. One character, with a worried expression, is standing with clenched fists, " "while the other, calm and composed, is sitting at a desk with an open dossier of documents. " "The room is filled with details: a large, ornate desk with scattered papers, a flickering desk lamp, and a window showing a rainy night outside. " "The background features rich textures and elements that add to the narrative tension, such as framed photographs and personal items. " "The overall tone of the scene is dramatic and immersive, capturing the essence of decision-making and emotional depth characteristic of interactive films." ) } # 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()