# Import necessary libraries from stable_diffusion import StableDiffusionPipelin

$# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A hidden accounting office behind bookshelves in an old café, with a vintage and cozy atmosphere. Inside the office, a couple familiar with Bitcoin engages in a discussion about financial strategies involving cryptocurrency. " "The scene captures their intellectual and physical connection, where the discussion leads to an intimate moment of mutual satisfaction. The setting combines a sense of secrecy and intellectual engagement with a warm, vintage aesthetic." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 18 # Strong adherence to the prompt clip_guidance_dropout = 0.05 # Slight variations for realism hr_scale = 3.0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Subtle latent space adjustments prompt_weighting = ( "Hidden accounting office behind bookshelves::1.8 | Vintage café atmosphere::1.7 | Couple discussing Bitcoin strategies::1.9 | Intellectual and physical connection::1.8 | Warm, cozy setting::1.7" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail on interactions and setting symmetry = "none" # No symmetry to reflect natural scenes symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending of colors perlin_noise_scale = 0.1 # Low Perlin noise for smooth textures fractal_noise = False # Disable fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt_weighting, tile_mode=tile_mode, clip_guidance_scale=cl$

# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A hidden accounting office behind bookshelves in an old café, with a vintage and cozy atmosphere. Inside the office, a couple familiar with Bitcoin engages in a discussion about financial strategies involving cryptocurrency. " "The scene captures their intellectual and physical connection, where the discussion leads to an intimate moment of mutual satisfaction. The setting combines a sense of secrecy and intellectual engagement with a warm, vintage aesthetic." ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 18 # Strong adherence to the prompt clip_guidance_dropout = 0.05 # Slight variations for realism hr_scale = 3.0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch.randn(1, 4, 64, 64) * 0.02 # Subtle latent space adjustments prompt_weighting = ( "Hidden accounting office behind bookshelves::1.8 | Vintage café atmosphere::1.7 | Couple discussing Bitcoin strategies::1.9 | Intellectual and physical connection::1.8 | Warm, cozy setting::1.7" ) # Weight for enhancing key elements cross_attention_strength = 1.0 # Maximum detail on interactions and setting symmetry = "none" # No symmetry to reflect natural scenes symmetry_loss_weight = 0.1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0.85 # Harmonious blending of colors perlin_noise_scale = 0.1 # Low Perlin noise for smooth textures fractal_noise = False # Disable fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt_weighting, tile_mode=tile_mode, clip_guidance_scale=cl

Generation Data

Registro

# Import necessary libraries from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Configure Stable Diffusion pipe = StableDiffusionPipeline . from_pretrained("stable-diffusion-v1-4") # Define the prompt prompt = ( "A hidden accounting office behind bookshelves in an old café , with a vintage and cozy atmosphere . Inside the office , a couple familiar with Bitcoin engages in a discussion about financial strategies involving cryptocurrency . " "The scene captures their intellectual and physical connection , where the discussion leads to an intimate moment of mutual satisfaction . The setting combines a sense of secrecy and intellectual engagement with a warm , vintage aesthetic . " ) # Configuration settings tile_mode = "none" # Disable tiling generation clip_guidance_scale = 18 # Strong adherence to the prompt clip_guidance_dropout = 0 . 05 # Slight variations for realism hr_scale = 3 . 0 # High-resolution scaling for detailed textures hr_upscaler = "R-ESRGAN" # High-quality upscaling latent_shift = torch . randn(1 , 4 , 64 , 64) * 0 . 02 # Subtle latent space adjustments prompt_weighting = ( "Hidden accounting office behind bookshelves::1 . 8 | Vintage café atmosphere::1 . 7 | Couple discussing Bitcoin strategies::1 . 9 | Intellectual and physical connection::1 . 8 | Warm , cozy setting::1 . 7" ) # Weight for enhancing key elements cross_attention_strength = 1 . 0 # Maximum detail on interactions and setting symmetry = "none" # No symmetry to reflect natural scenes symmetry_loss_weight = 0 . 1 # Minimal impact of symmetry reference_image = None # No reference image needed color_match_strength = 0 . 85 # Harmonious blending of colors perlin_noise_scale = 0 . 1 # Low Perlin noise for smooth textures fractal_noise = False # Disable fractal noise depth_map = None # No depth map needed parallax_effect = False # No parallax effect # Generate the image image = pipe( prompt=prompt_weighting , tile_mode=tile_mode , clip_guidance_scale=cl

INFO

Tamaño

688X1024

Fecha

Aug 23, 2024

Modo

Estudio

Tipo

cell

Checkpoint & LoRA

SeaArt Infinity

SeaArt Infinity

#SeaArt Infinity

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