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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

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

# Define the prompt with a playful and sensual vibe
prompt = (
    "Inside a high-end airplane cabin, a go-go dancer performs an alluring and playful dance for a Bitcoin trader. The dancer wears a light, shimmering outfit with subtle Bitcoin symbols, including a Bitcoin charm on her necklace and sparkles in her costume. Her long hair is styled in soft waves, with a Bitcoin-themed hair accessory. She is dancing provocatively, with playful gestures and a flirtatious smile aimed at the trader. The trader, sitting comfortably in a luxurious seat, watches her with a captivated expression. The cabin features plush seating, elegant decor, and ambient lighting in warm pinks and golds, enhancing the intimate and engaging atmosphere. The scene is bright and vibrant, with dynamic lighting highlighting the dancer’s movements and adding a lively feel to the interaction."
)

# Configuration settings
clip_guidance_scale = 20  # Moderate guidance for a playful and light-hearted tone
hr_scale = 3.0  # Balanced resolution for clear details
hr_upscaler = "R-ESRGAN"  # High-quality upscaling for vivid details
latent_shift = torch.randn(1, 4, 64, 64) * 0.02  # Slight variation for natural look
prompt_weighting = (
    "Go-Go Dancer::4.0 | Playful Dance::4.5 | Bitcoin Charms::3.0 | Captivated Trader::4.0 | Luxurious Cabin::3.5 | Warm Lighting::4.0"
)  # Emphasizes playful interaction and key elements
cross_attention_strength = 2.0  # Balanced focus on Bitcoin symbols and atmosphere
shallow_depth_of_field = True  # Shallow depth of field for emphasis on the dancer and trader
lighting_style = "warm and vibrant"  # Warm, engaging lighting effects
color_match_strength = 1.5  # Enhanced color matching for vibrant hues
perlin_noise_scale = 0.01  # Subtle noise for texture
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# Import necessary libraries 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 a playful and sensual vibe prompt = ( "Inside a high-end airplane cabin , a go-go dancer performs an alluring and playful dance for a Bitcoin trader . The dancer wears a light , shimmering outfit with subtle Bitcoin symbols , including a Bitcoin charm on her necklace and sparkles in her costume . Her long hair is styled in soft waves , with a Bitcoin-themed hair accessory . She is dancing provocatively , with playful gestures and a flirtatious smile aimed at the trader . The trader , sitting comfortably in a luxurious seat , watches her with a captivated expression . The cabin features plush seating , elegant decor , and ambient lighting in warm pinks and golds , enhancing the intimate and engaging atmosphere . The scene is bright and vibrant , with dynamic lighting highlighting the dancer’s movements and adding a lively feel to the interaction . " ) # Configuration settings clip_guidance_scale = 20 # Moderate guidance for a playful and light-hearted tone hr_scale = 3 . 0 # Balanced resolution for clear details hr_upscaler = "R-ESRGAN" # High-quality upscaling for vivid details latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 02 # Slight variation for natural look prompt_weighting = ( "Go-Go Dancer::4 . 0 | Playful Dance::4 . 5 | Bitcoin Charms::3 . 0 | Captivated Trader::4 . 0 | Luxurious Cabin::3 . 5 | Warm Lighting::4 . 0" ) # Emphasizes playful interaction and key elements cross_attention_strength = 2 . 0 # Balanced focus on Bitcoin symbols and atmosphere shallow_depth_of_field = True # Shallow depth of field for emphasis on the dancer and trader lighting_style = "warm and vibrant" # Warm , engaging lighting effects color_match_strength = 1 . 5 # Enhanced color matching for vibrant hues perlin_noise_scale = 0 . 01 # Subtle noise for texture
INFO
Prompts
# Import necessary libraries 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 a playful and sensual vibe prompt = ( "Inside a high-end airplane cabin, a go-go dancer performs an alluring and playful dance for a Bitcoin trader. The dancer wears a light, shimmering outfit with subtle Bitcoin symbols, including a Bitcoin charm on her necklace and sparkles in her costume. Her long hair is styled in soft waves, with a Bitcoin-themed hair accessory. She is dancing provocatively, with playful gestures and a flirtatious smile aimed at the trader. The trader, sitting comfortably in a luxurious seat, watches her with a captivated expression. The cabin features plush seating, elegant decor, and ambient lighting in warm pinks and golds, enhancing the intimate and engaging atmosphere. The scene is bright and vibrant, with dynamic lighting highlighting the dancer’s movements and adding a lively feel to the interaction." ) # Configuration settings clip_guidance_scale = 20 # Moderate guidance for a playful and light-hearted tone hr_scale = 3.0 # Balanced resolution for clear details hr_upscaler = "R-ESRGAN" # High-quality upscaling for vivid details latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Slight variation for natural look prompt_weighting = ( "Go-Go Dancer::4.0 | Playful Dance::4.5 | Bitcoin Charms::3.0 | Captivated Trader::4.0 | Luxurious Cabin::3.5 | Warm Lighting::4.0" ) # Emphasizes playful interaction and key elements cross_attention_strength = 2.0 # Balanced focus on Bitcoin symbols and atmosphere shallow_depth_of_field = True # Shallow depth of field for emphasis on the dancer and trader lighting_style = "warm and vibrant" # Warm, engaging lighting effects color_match_strength = 1.5 # Enhanced color matching for vibrant hues perlin_noise_scale = 0.01 # Subtle noise for texture
CFG Scale
7
Steps
25
Sampler
euler
Seed
1630739575
Scheduler
karras
Image Size
688 X 1024
Model
SeaArt Infinity
Generate
Size
688X1024
Date
Aug 26, 2024
Mode
Studio
Type
cell
Checkpoint & LoRA
SeaArt Infinity
Checkpoint
SeaArt Infinity
#Realistic
#SeaArt Infinity
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