# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

$# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A woman lounging in a chair, with Bitcoin coins scattered around her, gazing seductively at the camera. " "The scene exudes luxury and allure, with the woman's relaxed pose and intense gaze drawing attention. " "Bitcoin coins are scattered across the chair and surrounding area, catching the light and adding a modern, opulent touch. " "The lighting is soft and flattering, highlighting the woman's features and the texture of the chair. " "The background is slightly blurred, ensuring that the focus remains on the woman and the scattered Bitcoin coins." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 15 # Strengthen adherence to the prompt clip_guidance_dropout = 0.05 # Subtle variations for realism hr_scale = 3.0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Subtle latent space adjustments prompt_weighting = ( "Woman lounging in a chair::1.7 | Bitcoin coins scattered around::1.6 | Seductive gaze at the camera::1.6 | " "Soft, flattering lighting::1.6 | Luxurious and modern atmosphere::1.7 | Focus on woman and Bitcoin coins::1.6" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for the woman, chair, and coins symmetry = "none" # No symmetry to maintain natural pose symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending perlin_noise_scale = 0.1 # Low Perlin noise for subtle texture fractal_noise = False # Disable fractal noise depth_map = None # No depth map needed parallax_effect = False # No par$

# 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 lounging in a chair, with Bitcoin coins scattered around her, gazing seductively at the camera. " "The scene exudes luxury and allure, with the woman's relaxed pose and intense gaze drawing attention. " "Bitcoin coins are scattered across the chair and surrounding area, catching the light and adding a modern, opulent touch. " "The lighting is soft and flattering, highlighting the woman's features and the texture of the chair. " "The background is slightly blurred, ensuring that the focus remains on the woman and the scattered Bitcoin coins." ) # 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 = ( "Woman lounging in a chair::1.7 | Bitcoin coins scattered around::1.6 | Seductive gaze at the camera::1.6 | " "Soft, flattering lighting::1.6 | Luxurious and modern atmosphere::1.7 | Focus on woman and Bitcoin coins::1.6" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail for the woman, chair, and coins symmetry = "none" # No symmetry to maintain natural pose 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 = None # No depth map needed parallax_effect = False # No par

# 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 lounging in a chair , with Bitcoin coins scattered around her , gazing seductively at the camera . " "The scene exudes luxury and allure , with the woman's relaxed pose and intense gaze drawing attention . " "Bitcoin coins are scattered across the chair and surrounding area , catching the light and adding a modern , opulent touch . " "The lighting is soft and flattering , highlighting the woman's features and the texture of the chair . " "The background is slightly blurred , ensuring that the focus remains on the woman and the scattered Bitcoin coins . " ) # 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 = ( "Woman lounging in a chair::1 . 7 | Bitcoin coins scattered around::1 . 6 | Seductive gaze at the camera::1 . 6 | " "Soft , flattering lighting::1 . 6 | Luxurious and modern atmosphere::1 . 7 | Focus on woman and Bitcoin coins::1 . 6" ) # Weight for enhancing key elements cross_attention_strength = 1 . 0 # Maximum detail for the woman , chair , and coins symmetry = "none" # No symmetry to maintain natural pose 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 = None # No depth map needed parallax_effect = False # No par

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688X1024

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Aug 23, 2024

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Estúdio

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cell

Checkpoint & LoRA

SeaArt Infinity

SeaArt Infinity

#Abrir as pernas

#SeaArt Infinity

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