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# 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
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# 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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H
HelgaBlue
Generation Data
Records
Prompts
Copy
# 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
INFO
Prompts
# 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
CFG Scale
7
Steps
25
Sampler
euler
Seed
1585671528
Scheduler
karras
Image Size
688 X 1024
Model
SeaArt Infinity
Generate
Size
688X1024
Date
Aug 23, 2024
Mode
Studio
Type
cell
Checkpoint & LoRA
SeaArt Infinity
Checkpoint
SeaArt Infinity
#Realistic
#Openlegs
#Lingerie
#SeaArt Infinity
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