# 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 woman reclining on a chaise lounge, her body softly illuminated, with Bitcoin symbols subtly integrated into the background. " "The woman has light skin and is dressed in an elegant, flowing gown that drapes over the chaise lounge. " "The lighting is gentle, casting soft shadows that highlight her form. " "The background features Bitcoin symbols that blend seamlessly into the overall design, adding a modern touch to the classic setting. " "The atmosphere is tranquil and sophisticated, with a focus on the woman's relaxed pose and the subtle integration of cryptocurrency elements." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 14 # Emphasize key elements like the woman and Bitcoin symbols clip_guidance_dropout = 0.03 # Slight variations for natural lighting effects 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 = ( "Woman reclining on chaise lounge::1.6 | Soft illumination highlighting her form::1.7 | " "Elegant gown::1.5 | Bitcoin symbols subtly integrated::1.6 | Tranquil and sophisticated atmosphere::1.5" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for focus on the subject symmetry = "none" # Natural, relaxed pose without symmetry symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious color blending perlin_noise_scale = 0.25 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = None # No d