# 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 lighter and more engaging elements prompt = ( "A lively and enchanting scene inside a stylish airplane cabin. The focus is on a cheerful go-go dancer, a radiant stewardess with a playful presence, performing an energetic and graceful dance. She is dressed in a light, airy outfit with flowing, translucent fabric that billows around her, adorned with delicate sequins. The outfit is accented with bright Bitcoin-themed accessories, including a small Bitcoin pendant and playful Bitcoin confetti scattered around. Her hair is styled in loose waves, with a Bitcoin logo hairpin. The cabin features soft, colorful lighting with pinks and golds, adding a vibrant, warm glow. The background includes subtle Japanese decorations like cherry blossoms or lanterns to enhance the cultural theme. The dancer's expression is flirtatious and joyful, capturing a sense of fun and lightness. The overall atmosphere is energetic and bright, with a color palette featuring vivid reds, soft golds, and bright pinks. The lighting is dynamic and enhances the dancer’s movements, creating an inviting and sensual vibe." ) # Configuration settings clip_guidance_scale = 25 # Moderate guidance to maintain lightness and playfulness hr_scale = 3.0 # Balanced resolution for clarity without heaviness hr_upscaler = "R-ESRGAN" # High-quality upscaling for vibrant details latent_shift = torch.randn(1, 4, 64, 64) * 0.01 # Slight variation for a more natural feel prompt_weighting = ( "Go-Go Dancer::3.0 | Airy Outfit::3.5 | Bitcoin Accessories::2.5 | Playful Pose::3.0 | Vibrant Lighting::3.5 | Japanese Accents::2.0" ) # Emphasizes key elements with balanced weights cross_attention_strength = 2.5 # Focus on integrating Bitcoin motifs and cultural elements s

# 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 lighter and more engaging elements prompt = ( "A lively and enchanting scene inside a stylish airplane cabin . The focus is on a cheerful go-go dancer , a radiant stewardess with a playful presence , performing an energetic and graceful dance . She is dressed in a light , airy outfit with flowing , translucent fabric that billows around her , adorned with delicate sequins . The outfit is accented with bright Bitcoin-themed accessories , including a small Bitcoin pendant and playful Bitcoin confetti scattered around . Her hair is styled in loose waves , with a Bitcoin logo hairpin . The cabin features soft , colorful lighting with pinks and golds , adding a vibrant , warm glow . The background includes subtle Japanese decorations like cherry blossoms or lanterns to enhance the cultural theme . The dancer's expression is flirtatious and joyful , capturing a sense of fun and lightness . The overall atmosphere is energetic and bright , with a color palette featuring vivid reds , soft golds , and bright pinks . The lighting is dynamic and enhances the dancer’s movements , creating an inviting and sensual vibe . " ) # Configuration settings clip_guidance_scale = 25 # Moderate guidance to maintain lightness and playfulness hr_scale = 3 . 0 # Balanced resolution for clarity without heaviness hr_upscaler = "R-ESRGAN" # High-quality upscaling for vibrant details latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 01 # Slight variation for a more natural feel prompt_weighting = ( "Go-Go Dancer::3 . 0 | Airy Outfit::3 . 5 | Bitcoin Accessories::2 . 5 | Playful Pose::3 . 0 | Vibrant Lighting::3 . 5 | Japanese Accents::2 . 0" ) # Emphasizes key elements with balanced weights cross_attention_strength = 2 . 5 # Focus on integrating Bitcoin motifs and cultural elements s

INFO

Tamaño

688X1024

Fecha

Aug 26, 2024

Modo

Estudio

Tipo

cell

Checkpoint & LoRA

Checkpoint

SeaArt Infinity

#Realista

#SeaArt Infinity

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# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

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