# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A private party scene with an elegant and luxurious atmosphere. The setting includes a sophisticated, high-end venue with dim, ambient lighting and tasteful decorations. " "In the midst of the party, an organizer and their partner find a private moment for intimacy. They are depicted in an intimate 69 position, showing passion and connection. " "Around them, the party continues with guests engaged in lively discussions and celebrations. The overall mood captures the contrast between the intimate moment and the festive atmosphere of the party." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 18 # Strong adherence to the prompt clip_guidance_dropout = 0.05 # Slight variations for realism hr_scale = 3.0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Subtle latent space adjustments prompt_weighting = ( "Private party scene with luxurious atmosphere::1.8 | Elegant venue with dim ambient lighting::1.7 | " "Organizer and partner in intimate 69 position::1.9 | Guests engaged in lively discussions::1.7 | " "Contrast between intimate moment and festive atmosphere::1.8" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail on interactions and elements symmetry = "none" # No symmetry to reflect natural scenes symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending of colors perlin_noise_scale = 0.1 # Low Perlin noise for smooth textures fractal_noise = False # Disable fractal noise depth_map = None # No depth map n