# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

$# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A couple wrapped in silk sheets, with the Bitcoin logo subtly appearing as a pattern on the fabric. " "The scene is intimate and luxurious, with the soft silk sheets enveloping the couple, creating a sense of closeness and warmth. " "The Bitcoin logo is woven into the fabric, blending seamlessly with the silk, and is visible without being overly prominent. " "The lighting is soft, enhancing the smooth texture of the silk and the gentle expressions of the couple. " "The background is blurred to keep the focus on the couple and the detailed silk pattern, creating a serene and elegant mood." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 15 # Strengthen adherence to the prompt clip_guidance_dropout = 0.05 # Subtle variations for realism hr_scale = 3.0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Subtle latent space adjustments prompt_weighting = ( "Couple wrapped in silk sheets::1.7 | Bitcoin logo subtly patterned on fabric::1.6 | " "Intimate and luxurious atmosphere::1.7 | Soft, flattering lighting::1.6 | " "Focus on couple and silk texture::1.6 | Serene and elegant mood::1.7" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for the couple and the silk symmetry = "none" # No symmetry to maintain natural positioning symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending perlin_noise_scale = 0.1 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = N$

# 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 couple wrapped in silk sheets, with the Bitcoin logo subtly appearing as a pattern on the fabric. " "The scene is intimate and luxurious, with the soft silk sheets enveloping the couple, creating a sense of closeness and warmth. " "The Bitcoin logo is woven into the fabric, blending seamlessly with the silk, and is visible without being overly prominent. " "The lighting is soft, enhancing the smooth texture of the silk and the gentle expressions of the couple. " "The background is blurred to keep the focus on the couple and the detailed silk pattern, creating a serene and elegant mood." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 15 # Strengthen adherence to the prompt clip_guidance_dropout = 0.05 # Subtle 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 = ( "Couple wrapped in silk sheets::1.7 | Bitcoin logo subtly patterned on fabric::1.6 | " "Intimate and luxurious atmosphere::1.7 | Soft, flattering lighting::1.6 | " "Focus on couple and silk texture::1.6 | Serene and elegant mood::1.7" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for the couple and the silk symmetry = "none" # No symmetry to maintain natural positioning symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending perlin_noise_scale = 0.1 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = N

Generation Data

السجل

# 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 couple wrapped in silk sheets , with the Bitcoin logo subtly appearing as a pattern on the fabric . " "The scene is intimate and luxurious , with the soft silk sheets enveloping the couple , creating a sense of closeness and warmth . " "The Bitcoin logo is woven into the fabric , blending seamlessly with the silk , and is visible without being overly prominent . " "The lighting is soft , enhancing the smooth texture of the silk and the gentle expressions of the couple . " "The background is blurred to keep the focus on the couple and the detailed silk pattern , creating a serene and elegant mood . " ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 15 # Strengthen adherence to the prompt clip_guidance_dropout = 0 . 05 # Subtle 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 = ( "Couple wrapped in silk sheets::1 . 7 | Bitcoin logo subtly patterned on fabric::1 . 6 | " "Intimate and luxurious atmosphere::1 . 7 | Soft , flattering lighting::1 . 6 | " "Focus on couple and silk texture::1 . 6 | Serene and elegant mood::1 . 7" ) # Weight for enhancing key elements cross_attention_strength = 1 . 0 # Maximum detail for the couple and the silk symmetry = "none" # No symmetry to maintain natural positioning symmetry_loss_weight = 0 . 1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0 . 85 # Harmonious blending perlin_noise_scale = 0 . 1 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = N

معلومات

مقاس

688X1024

تاريخ

Aug 23, 2024

الوضع

الاستوديو

النوع

cell

Checkpoint & LoRA

SeaArt Infinity

SeaArt Infinity

#SeaArt Infinity

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