# 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 = ( "An illustrative book cover featuring a central apple motif and a coiled green snake. " "The apple has a smooth, rounded shape, transitioning from dark green at the top to a peach or light orange hue at the bottom, resembling a buttocks. " "The snake, in dark forest green with lighter green accents, encircles the apple in a whimsical manner, its body forming an arch that frames the title. " "The snake's head, positioned at the bottom right, has a prominent eye with a black pupil and white sclera, a small curved mouth, and a forked tongue protruding forward. " "Above the apple, the word 'Emmanuelle' is displayed in a bold, black serif font that slightly curves to fit the circular layout. " "Below the apple, the text 'Emmanuelle Arsan' appears in a smaller, red sans-serif font. " "The background is a plain beige color with subtle marks and slight discolorations, giving it a worn look. " "The composition is centered and symmetrical, with medium contrast and high saturation. " "The lighting is even, ensuring all elements are clearly visible without shadows or highlights. " "The color palette includes dark forest green, apple red, peach orange, and beige, creating a visually striking and balanced design that evokes a mysterious and intriguing mood." ) # Configuration settings clip_guidance_scale = 18 # High adherence to the detailed prompt hr_scale = 2.5 # High resolution for detailed illustration hr_upscaler = "R-ESRGAN" # High-quality upscaling for sharp details latent_shift = torch.randn(1, 4, 64, 64) * 0.015 # Slight variation in the latent space for natural effects prompt_weighting = ( "Apple motif::2.0 | Coiled green snake::2.0 | Bold serif font::1.8 | Subtle backgr