# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A stunning Latin-Romani woman, around 4, standing confidently in an elegant Japanese tea room. She wears sensual red lingerie made from layers of silk and roses in varying shades of red, from deep crimson to light coral, " "covering her body in an artful and suggestive manner. Her hair is intricately braided with a Bitcoin symbol hairpin, and she gazes seductively at the camera, holding a traditional Japanese fan decorated with Bitcoin and Japanese flag motifs. " "The fan is partially covering her face, leaving only her eyes visible, which have a knowing and playful expression. Behind her, the room is adorned with traditional Japanese elements such as tatami mats, shoji screens, and a low wooden table set for tea, " "but with a modern twist: a digital display shows live Bitcoin trading charts on the wall, seamlessly blending the old and the new. The lighting is soft and warm, casting gentle shadows that highlight the intricate details of her attire and the textures of the room. " "The color palette is rich, featuring reds, golds, and natural wood tones, creating a harmonious and inviting atmosphere. In the corner, a small Bitcoin symbol is subtly integrated into the design of a traditional Japanese scroll hanging on the wall. " "Her stance is confident, with one leg slightly forward, emphasizing her poise and the elegance of the scene. The overall mood is one of allure, sophistication, and the blending of tradition with modernity, all while subtly promoting the importance of safety in trading." ) # Configuration settings clip_guidance_scale = 30 # Strong guidance to focus on the interplay of traditional Japanese elements and modern Bitcoin themes hr_scale = 3.5 # High resolution to captu