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From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

from stable_diffusion import StableDiffusionPipeline
import torch
from PIL import Image

# Load the Stable Diffusion model
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4")

# Define the prompt with Bitcoin elements and our custom configurations
prompt = (
    "A photograph capturing a woman standing in a dramatic, intense pose, slightly to the right of the camera's perspective. "
    "The woman is covered in mud, giving her a glossy, wet appearance. Her wet, curly hair is damp and clings to her face and body, with strands falling around her head, partially obscuring it. "
    "She is wearing a black sleeveless top that is knotted at the front, exposing her midriff, and a dark gray skirt with a drawstring waistband. "
    "Her body is covered in mud, which appears both dark brown and light brown, creating varying textures and patterns across her skin and clothing. "
    "The woman's expression is focused and intense, with her face turned slightly downward and to the left. Her right arm is extended forward with her hand partially visible, while her left arm is bent at the elbow. "
    "Incorporate subtle Bitcoin symbols in the mud textures on her skin and clothing, and add a faint Bitcoin logo reflection in her eyes. "
    "The lighting is bright and artificial, highlighting the texture of the mud on her skin and clothing, casting soft shadows that accentuate her form. "
    "The background is plain and out of focus, consisting of a light-colored wall on the left side and a darker structure on the right, which contrasts with the subject and emphasizes her figure. "
    "The overall mood of the image is intense and dramatic, with a balanced exposure and neutral white balance. "
    "The composition is centered, with the subject occupying most of the frame, creating a powerful visual impact that draws attention to the subject's form and the textures of the mud."
)

# Configuration settings
clip_guidance_scale = 20  # Strong guidance for intense fo
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from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt with Bitcoin elements and our custom configurations prompt = ( "A photograph capturing a woman standing in a dramatic, intense pose, slightly to the right of the camera's perspective. " "The woman is covered in mud, giving her a glossy, wet appearance. Her wet, curly hair is damp and clings to her face and body, with strands falling around her head, partially obscuring it. " "She is wearing a black sleeveless top that is knotted at the front, exposing her midriff, and a dark gray skirt with a drawstring waistband. " "Her body is covered in mud, which appears both dark brown and light brown, creating varying textures and patterns across her skin and clothing. " "The woman's expression is focused and intense, with her face turned slightly downward and to the left. Her right arm is extended forward with her hand partially visible, while her left arm is bent at the elbow. " "Incorporate subtle Bitcoin symbols in the mud textures on her skin and clothing, and add a faint Bitcoin logo reflection in her eyes. " "The lighting is bright and artificial, highlighting the texture of the mud on her skin and clothing, casting soft shadows that accentuate her form. " "The background is plain and out of focus, consisting of a light-colored wall on the left side and a darker structure on the right, which contrasts with the subject and emphasizes her figure. " "The overall mood of the image is intense and dramatic, with a balanced exposure and neutral white balance. " "The composition is centered, with the subject occupying most of the frame, creating a powerful visual impact that draws attention to the subject's form and the textures of the mud." ) # Configuration settings clip_guidance_scale = 20 # Strong guidance for intense fo

avatar
M
Muk Yad
Generation Data
Records
Prompts
Copy
from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline . from_pretrained("stable-diffusion-v1-4") # Define the prompt with Bitcoin elements and our custom configurations prompt = ( "A photograph capturing a woman standing in a dramatic , intense pose , slightly to the right of the camera's perspective . " "The woman is covered in mud , giving her a glossy , wet appearance . Her wet , curly hair is damp and clings to her face and body , with strands falling around her head , partially obscuring it . " "She is wearing a black sleeveless top that is knotted at the front , exposing her midriff , and a dark gray skirt with a drawstring waistband . " "Her body is covered in mud , which appears both dark brown and light brown , creating varying textures and patterns across her skin and clothing . " "The woman's expression is focused and intense , with her face turned slightly downward and to the left . Her right arm is extended forward with her hand partially visible , while her left arm is bent at the elbow . " "Incorporate subtle Bitcoin symbols in the mud textures on her skin and clothing , and add a faint Bitcoin logo reflection in her eyes . " "The lighting is bright and artificial , highlighting the texture of the mud on her skin and clothing , casting soft shadows that accentuate her form . " "The background is plain and out of focus , consisting of a light-colored wall on the left side and a darker structure on the right , which contrasts with the subject and emphasizes her figure . " "The overall mood of the image is intense and dramatic , with a balanced exposure and neutral white balance . " "The composition is centered , with the subject occupying most of the frame , creating a powerful visual impact that draws attention to the subject's form and the textures of the mud . " ) # Configuration settings clip_guidance_scale = 20 # Strong guidance for intense fo
INFO
Prompts
from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt with Bitcoin elements and our custom configurations prompt = ( "A photograph capturing a woman standing in a dramatic, intense pose, slightly to the right of the camera's perspective. " "The woman is covered in mud, giving her a glossy, wet appearance. Her wet, curly hair is damp and clings to her face and body, with strands falling around her head, partially obscuring it. " "She is wearing a black sleeveless top that is knotted at the front, exposing her midriff, and a dark gray skirt with a drawstring waistband. " "Her body is covered in mud, which appears both dark brown and light brown, creating varying textures and patterns across her skin and clothing. " "The woman's expression is focused and intense, with her face turned slightly downward and to the left. Her right arm is extended forward with her hand partially visible, while her left arm is bent at the elbow. " "Incorporate subtle Bitcoin symbols in the mud textures on her skin and clothing, and add a faint Bitcoin logo reflection in her eyes. " "The lighting is bright and artificial, highlighting the texture of the mud on her skin and clothing, casting soft shadows that accentuate her form. " "The background is plain and out of focus, consisting of a light-colored wall on the left side and a darker structure on the right, which contrasts with the subject and emphasizes her figure. " "The overall mood of the image is intense and dramatic, with a balanced exposure and neutral white balance. " "The composition is centered, with the subject occupying most of the frame, creating a powerful visual impact that draws attention to the subject's form and the textures of the mud." ) # Configuration settings clip_guidance_scale = 20 # Strong guidance for intense fo
CFG Scale
7
Steps
25
Sampler
euler
Seed
298124391
Scheduler
karras
Image Size
688 X 1024
Model
SeaArt Infinity
Generate
Size
688X1024
Date
Aug 27, 2024
Mode
Studio
Type
cell
Checkpoint & LoRA
SeaArt Infinity
Checkpoint
SeaArt Infinity
#Realistic
#Photography
#SeaArt Infinity
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