# 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 additional elements prompt = ( "An exhilarating, sensual scene inside a luxurious airplane cabin. The focus is on a go-go dancer, a stunning stewardess with an alluring presence, performing an energetic dance. She is dressed in a shimmering blue and silver go-go outfit with high-cut leg openings and strategic cutouts that highlight her figure, complete with flowing fabric that moves with her dance. The outfit sparkles with LED-like lights, adding to the sense of excitement. Her voluminous hair is styled in waves, adorned with a Bitcoin logo hairpin. The dancer interacts playfully with Bitcoin-themed confetti and wears a Bitcoin pendant as a necklace. She engages directly with a Bitcoin trader in a plush first-class seat. The cabin is adorned with Japanese-themed decorations like lanterns and subtle patterns, adding a touch of cultural flair. Dynamic lighting effects create a vibrant atmosphere, highlighting the dancer's movements and the luxurious surroundings. A digital display showing Bitcoin price trends or stock tickers is visible, enhancing the trading theme. The scene is alive with energy, with a color palette dominated by deep blues, golds, and vibrant reds." ) # Configuration settings clip_guidance_scale = 40 # Strong guidance to emphasize dynamic and sensual elements hr_scale = 5.0 # Higher resolution for detailed textures and vibrant lighting hr_upscaler = "R-ESRGAN" # High-quality upscaling for clarity latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Slight variation for realism prompt_weighting = ( "Go-Go Dancer::3.5 | Luxurious Airplane Cabin::3.0 | Sensual Outfit::3.0 | Bitcoin Symbols::2.5 | Interactive Pose::2.8 | Dynamic Lighting::3.0 | Japanese Elements::2.0" ) # Emphasizes key elements w

# 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 additional elements prompt = ( "An exhilarating , sensual scene inside a luxurious airplane cabin . The focus is on a go-go dancer , a stunning stewardess with an alluring presence , performing an energetic dance . She is dressed in a shimmering blue and silver go-go outfit with high-cut leg openings and strategic cutouts that highlight her figure , complete with flowing fabric that moves with her dance . The outfit sparkles with LED-like lights , adding to the sense of excitement . Her voluminous hair is styled in waves , adorned with a Bitcoin logo hairpin . The dancer interacts playfully with Bitcoin-themed confetti and wears a Bitcoin pendant as a necklace . She engages directly with a Bitcoin trader in a plush first-class seat . The cabin is adorned with Japanese-themed decorations like lanterns and subtle patterns , adding a touch of cultural flair . Dynamic lighting effects create a vibrant atmosphere , highlighting the dancer's movements and the luxurious surroundings . A digital display showing Bitcoin price trends or stock tickers is visible , enhancing the trading theme . The scene is alive with energy , with a color palette dominated by deep blues , golds , and vibrant reds . " ) # Configuration settings clip_guidance_scale = 40 # Strong guidance to emphasize dynamic and sensual elements hr_scale = 5 . 0 # Higher resolution for detailed textures and vibrant lighting hr_upscaler = "R-ESRGAN" # High-quality upscaling for clarity latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 02 # Slight variation for realism prompt_weighting = ( "Go-Go Dancer::3 . 5 | Luxurious Airplane Cabin::3 . 0 | Sensual Outfit::3 . 0 | Bitcoin Symbols::2 . 5 | Interactive Pose::2 . 8 | Dynamic Lighting::3 . 0 | Japanese Elements::2 . 0" ) # Emphasizes key elements w

معلومات

مقاس

768X1216

تاريخ

Aug 26, 2024

الوضع

الاستوديو

النوع

cell

Checkpoint & LoRA

Checkpoint

SeaArt Infinity

#SeaArt Infinity

0 تعليق

# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

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