# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

$# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A snake charmer woman styled like a 1980s Playboy model, depicted in a retro style. " "She has an innocent gaze, and she is kissing a snake, with a Bitcoin talisman hanging around her neck. " "The woman is dressed in a corset, with narrow lips, a high forehead, and a long nose. " "She is pouring milk in a thin stream to the snake. " "The scene is set with a vintage, sensual atmosphere, emphasizing the innocence in her expression and the surreal moment." ) # Configuration settings clip_guidance_scale = 22 # Emphasizing detailed adherence to the prompt, especially the facial features and retro styling hr_scale = 2.5 # High resolution to capture fine details like the Bitcoin talisman, the corset texture, and the snake hr_upscaler = "R-ESRGAN" # High-quality upscaling for sharp details, especially on the talisman and facial features latent_shift = torch.randn(1, 4, 64, 64) * 0.015 # Slight variation for a natural and dynamic effect, enhancing retro aesthetics prompt_weighting = ( "Snake charmer::2.0 | 1980s Playboy model::2.2 | Innocent gaze::1.8 | Kissing snake::2.1 | Bitcoin talisman::2.5 | Corset::2.0" ) # Emphasizing key elements like the retro Playboy style, innocence, and Bitcoin talisman cross_attention_strength = 1.2 # Slightly stronger focus on the central elements, particularly the snake and woman shallow_depth_of_field = False # No shallow depth, maintaining clarity across the scene lighting_style = "soft retro" # Ensuring the lighting reflects a retro, soft, and slightly muted tone color_match_strength = 0.9 # Harmonious color blending with a slight emphasis on the retro palette perlin_noise_scale = 0.015 # Low noise for a smooth, slightly vintage texture fractal_noise =$

# 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 prompt = ( "A snake charmer woman styled like a 1980s Playboy model, depicted in a retro style. " "She has an innocent gaze, and she is kissing a snake, with a Bitcoin talisman hanging around her neck. " "The woman is dressed in a corset, with narrow lips, a high forehead, and a long nose. " "She is pouring milk in a thin stream to the snake. " "The scene is set with a vintage, sensual atmosphere, emphasizing the innocence in her expression and the surreal moment." ) # Configuration settings clip_guidance_scale = 22 # Emphasizing detailed adherence to the prompt, especially the facial features and retro styling hr_scale = 2.5 # High resolution to capture fine details like the Bitcoin talisman, the corset texture, and the snake hr_upscaler = "R-ESRGAN" # High-quality upscaling for sharp details, especially on the talisman and facial features latent_shift = torch.randn(1, 4, 64, 64) * 0.015 # Slight variation for a natural and dynamic effect, enhancing retro aesthetics prompt_weighting = ( "Snake charmer::2.0 | 1980s Playboy model::2.2 | Innocent gaze::1.8 | Kissing snake::2.1 | Bitcoin talisman::2.5 | Corset::2.0" ) # Emphasizing key elements like the retro Playboy style, innocence, and Bitcoin talisman cross_attention_strength = 1.2 # Slightly stronger focus on the central elements, particularly the snake and woman shallow_depth_of_field = False # No shallow depth, maintaining clarity across the scene lighting_style = "soft retro" # Ensuring the lighting reflects a retro, soft, and slightly muted tone color_match_strength = 0.9 # Harmonious color blending with a slight emphasis on the retro palette perlin_noise_scale = 0.015 # Low noise for a smooth, slightly vintage texture fractal_noise =

Generation Data

السجل

# 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 prompt = ( "A snake charmer woman styled like a 1980s Playboy model , depicted in a retro style . " "She has an innocent gaze , and she is kissing a snake , with a Bitcoin talisman hanging around her neck . " "The woman is dressed in a corset , with narrow lips , a high forehead , and a long nose . " "She is pouring milk in a thin stream to the snake . " "The scene is set with a vintage , sensual atmosphere , emphasizing the innocence in her expression and the surreal moment . " ) # Configuration settings clip_guidance_scale = 22 # Emphasizing detailed adherence to the prompt , especially the facial features and retro styling hr_scale = 2 . 5 # High resolution to capture fine details like the Bitcoin talisman , the corset texture , and the snake hr_upscaler = "R-ESRGAN" # High-quality upscaling for sharp details , especially on the talisman and facial features latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 015 # Slight variation for a natural and dynamic effect , enhancing retro aesthetics prompt_weighting = ( "Snake charmer::2 . 0 | 1980s Playboy model::2 . 2 | Innocent gaze::1 . 8 | Kissing snake::2 . 1 | Bitcoin talisman::2 . 5 | Corset::2 . 0" ) # Emphasizing key elements like the retro Playboy style , innocence , and Bitcoin talisman cross_attention_strength = 1 . 2 # Slightly stronger focus on the central elements , particularly the snake and woman shallow_depth_of_field = False # No shallow depth , maintaining clarity across the scene lighting_style = "soft retro" # Ensuring the lighting reflects a retro , soft , and slightly muted tone color_match_strength = 0 . 9 # Harmonious color blending with a slight emphasis on the retro palette perlin_noise_scale = 0 . 015 # Low noise for a smooth , slightly vintage texture fractal_noise =

معلومات

مقاس

688X1024

تاريخ

Aug 24, 2024

الوضع

الاستوديو

النوع

cell

Checkpoint & LoRA

SeaArt Infinity

SeaArt Infinity

#SeaArt Infinity

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