# 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 man and a woman lying side by side, their hands gently resting on a large Bitcoin coin between them. " "The scene is softly lit, emphasizing the closeness between the two individuals. " "The man and woman are dressed in casual, comfortable clothing, with a serene expression on their faces. " "The Bitcoin coin is prominently placed in the center, symbolizing a shared connection or bond. " "The background is minimalistic, with soft gradients and subtle textures, allowing the focus to remain on the couple and the Bitcoin coin." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 15 # Strengthen focus on the couple and the Bitcoin coin clip_guidance_dropout = 0.04 # 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 = ( "Man and woman lying side by side::1.6 | Hands resting on Bitcoin coin::1.7 | " "Soft lighting::1.6 | Casual, comfortable clothing::1.5 | Serene expressions::1.6 | " "Minimalistic background::1.5" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for focus on the subjects and coin symmetry = "none" # No symmetry to maintain a natural, intimate pose 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 = 0.2 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = None # No depth map needed parallax_effect = Fals