# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

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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 an elegant and intimate vibe prompt = ( "In a luxurious airplane cabin, a go-go dancer performs an elegant and intimate dance for a Bitcoin trader. The dancer is dressed in a flowing, translucent outfit with delicate Bitcoin-themed embroidery and a Bitcoin pendant. Her hair is styled in a sophisticated updo, adorned with a Bitcoin-themed hairpin. She moves gracefully, with a soft smile and inviting gestures towards the trader. The trader, seated in a plush, high-end seat, watches her with an appreciative and intrigued expression. The cabin is elegantly decorated with rich fabrics, soft golden lighting, and a romantic atmosphere. The lighting highlights the dancer’s graceful movements and enhances the intimate ambiance of the scene." ) # Configuration settings clip_guidance_scale = 25 # Stronger guidance for elegance and intimacy hr_scale = 3.5 # Higher resolution for finer details hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.015 # Slight variation for subtlety prompt_weighting = ( "Go-Go Dancer::4.5 | Elegant Dance::4.5 | Bitcoin Embroidery::3.5 | Intrigued Trader::4.5 | Luxurious Cabin::4.0 | Soft Lighting::4.5" ) # Emphasizes elegance and intimacy cross_attention_strength = 2.5 # Focused on Bitcoin themes and elegance shallow_depth_of_field = True # Shallow depth of field to highlight the dancer and trader lighting_style = "soft and romantic" # Soft, warm lighting effects color_match_strength = 2.0 # Rich color matching perlin_noise_scale = 0.015 # Subtle noise for texture fractal_noise = False # No fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt

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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 an elegant and intimate vibe prompt = ( "In a luxurious airplane cabin , a go-go dancer performs an elegant and intimate dance for a Bitcoin trader . The dancer is dressed in a flowing , translucent outfit with delicate Bitcoin-themed embroidery and a Bitcoin pendant . Her hair is styled in a sophisticated updo , adorned with a Bitcoin-themed hairpin . She moves gracefully , with a soft smile and inviting gestures towards the trader . The trader , seated in a plush , high-end seat , watches her with an appreciative and intrigued expression . The cabin is elegantly decorated with rich fabrics , soft golden lighting , and a romantic atmosphere . The lighting highlights the dancer’s graceful movements and enhances the intimate ambiance of the scene . " ) # Configuration settings clip_guidance_scale = 25 # Stronger guidance for elegance and intimacy hr_scale = 3 . 5 # Higher resolution for finer details hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 015 # Slight variation for subtlety prompt_weighting = ( "Go-Go Dancer::4 . 5 | Elegant Dance::4 . 5 | Bitcoin Embroidery::3 . 5 | Intrigued Trader::4 . 5 | Luxurious Cabin::4 . 0 | Soft Lighting::4 . 5" ) # Emphasizes elegance and intimacy cross_attention_strength = 2 . 5 # Focused on Bitcoin themes and elegance shallow_depth_of_field = True # Shallow depth of field to highlight the dancer and trader lighting_style = "soft and romantic" # Soft , warm lighting effects color_match_strength = 2 . 0 # Rich color matching perlin_noise_scale = 0 . 015 # Subtle noise for texture fractal_noise = False # No fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt

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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 an elegant and intimate vibe prompt = ( "In a luxurious airplane cabin, a go-go dancer performs an elegant and intimate dance for a Bitcoin trader. The dancer is dressed in a flowing, translucent outfit with delicate Bitcoin-themed embroidery and a Bitcoin pendant. Her hair is styled in a sophisticated updo, adorned with a Bitcoin-themed hairpin. She moves gracefully, with a soft smile and inviting gestures towards the trader. The trader, seated in a plush, high-end seat, watches her with an appreciative and intrigued expression. The cabin is elegantly decorated with rich fabrics, soft golden lighting, and a romantic atmosphere. The lighting highlights the dancer’s graceful movements and enhances the intimate ambiance of the scene." ) # Configuration settings clip_guidance_scale = 25 # Stronger guidance for elegance and intimacy hr_scale = 3.5 # Higher resolution for finer details hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.015 # Slight variation for subtlety prompt_weighting = ( "Go-Go Dancer::4.5 | Elegant Dance::4.5 | Bitcoin Embroidery::3.5 | Intrigued Trader::4.5 | Luxurious Cabin::4.0 | Soft Lighting::4.5" ) # Emphasizes elegance and intimacy cross_attention_strength = 2.5 # Focused on Bitcoin themes and elegance shallow_depth_of_field = True # Shallow depth of field to highlight the dancer and trader lighting_style = "soft and romantic" # Soft, warm lighting effects color_match_strength = 2.0 # Rich color matching perlin_noise_scale = 0.015 # Subtle noise for texture fractal_noise = False # No fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt

CFG Scale

7

Steps

25

Sampler

euler

Seed

2017919132

Scheduler

karras

Image Size

688 X 1024

Model

SeaArt Infinity

Generate

Size

688X1024

Date

Aug 26, 2024

Mode

Studio

Type

cell

Checkpoint & LoRA

Checkpoint

SeaArt Infinity

#Realistic

#SeaArt Infinity

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