From diffusers import StableDiffusionPipeline import torch

from diffusers import StableDiffusionPipeline import torch # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", torch_dtype=torch.float16) pipe.to("cuda") # Define prompts prompts = { "Club_Interior": "Interior of a private Bitcoin-themed club with a minimalist design and cryptocurrency elements. Bitcoin charts, logos, and cryptocurrency symbols are prominently displayed on the walls and tables.", "Party_Attendees": "A group of people in elegant attire enjoying a party at a private Bitcoin-themed club. Attendees interact, discuss new Bitcoin project details, exchange passionate glances and touches, with Bitcoin-related visual elements enhancing the scene.", "Intimate_Discussion": "A couple in a secluded corner of the Bitcoin-themed club, discussing the details of a new Bitcoin project. They exchange glances and touches, with cryptocurrency terms enhancing the atmosphere of intimacy and excitement.", "Physical_Intimacy": "An intimate scene in the Bitcoin-themed club where partners use Bitcoin elements, such as coins or logos, as symbolic accessories. The interaction between partners is filled with passion and sensuality, with Bitcoin symbolism enhancing the atmosphere.", "Emotional_and_Physical_Excitement": "An intimate moment in the Bitcoin-themed club where members and their partners are in close contact. Glances, touches, and Bitcoin elements create a sensual atmosphere, intensifying emotional and physical excitement." } # Generate images for scene, prompt in prompts.items(): print(f"Generating image for: {scene}") image = pipe(prompt).images[0] image.save(f"{scene}.png") print("Image generation complete.")