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From stable_diffusion import StableDiffusionPipeline import torch from PIL impor

from stable_diffusion import StableDiffusionPipeline
import torch
from PIL import Image

# Load the Stable Diffusion model
pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4")
pipe = pipe.to("cuda")  # Use GPU if available

# Define the detailed and playful prompt
prompts = {
    "cooking_for_bitcoin_whale_anime": (
        "An anime-style illustration featuring a beautiful young woman with large, expressive eyes, "
        "wearing a casual yet slightly revealing home outfit, cooking for a large, smug-looking whale that sits at a cozy kitchen table. "
        "The whale, with a shiny gold Bitcoin chain around its neck, has a content and self-satisfied expression. "
        "The woman, with a playful smile and a slight blush on her cheeks, is feeding the whale with a spoon, leaning forward seductively. "
        "Her hair is tied up in a cute, messy bun with a ribbon, adding to her charm. "
        "The kitchen is warmly lit, featuring soft colors and a welcoming atmosphere typical of slice-of-life anime settings. "
        "In the background, a sleek shark with a Bitcoin symbol on its fin observes the scene, reflecting the competitive nature of the Bitcoin market. "
        "The overall scene captures the light-hearted and humorous dynamic between the characters, with a distinct anime aesthetic."
    )
}

# Generate the image for the prompt
for name, prompt in prompts.items():
    # Generate the image using the prompt
    image = pipe(prompt).images[0]
    
    # Save the generated image
    filename = f"{name.lower().replace(' ', '_')}.png"
    image.save(filename)
    print(f"Saved image: {filename}")

    # Optionally, show the generated image
    image.show()
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from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed and playful prompt prompts = { "cooking_for_bitcoin_whale_anime": ( "An anime-style illustration featuring a beautiful young woman with large, expressive eyes, " "wearing a casual yet slightly revealing home outfit, cooking for a large, smug-looking whale that sits at a cozy kitchen table. " "The whale, with a shiny gold Bitcoin chain around its neck, has a content and self-satisfied expression. " "The woman, with a playful smile and a slight blush on her cheeks, is feeding the whale with a spoon, leaning forward seductively. " "Her hair is tied up in a cute, messy bun with a ribbon, adding to her charm. " "The kitchen is warmly lit, featuring soft colors and a welcoming atmosphere typical of slice-of-life anime settings. " "In the background, a sleek shark with a Bitcoin symbol on its fin observes the scene, reflecting the competitive nature of the Bitcoin market. " "The overall scene captures the light-hearted and humorous dynamic between the characters, with a distinct anime aesthetic." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()

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S
SHEM TEREM
Generation Data
Records
Prompts
Copy
from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline . from_pretrained("stable-diffusion-v1-4") pipe = pipe . to("cuda") # Use GPU if available # Define the detailed and playful prompt prompts = { "cooking_for_bitcoin_whale_anime": ( "An anime-style illustration featuring a beautiful young woman with large , expressive eyes , " "wearing a casual yet slightly revealing home outfit , cooking for a large , smug-looking whale that sits at a cozy kitchen table . " "The whale , with a shiny gold Bitcoin chain around its neck , has a content and self-satisfied expression . " "The woman , with a playful smile and a slight blush on her cheeks , is feeding the whale with a spoon , leaning forward seductively . " "Her hair is tied up in a cute , messy bun with a ribbon , adding to her charm . " "The kitchen is warmly lit , featuring soft colors and a welcoming atmosphere typical of slice-of-life anime settings . " "In the background , a sleek shark with a Bitcoin symbol on its fin observes the scene , reflecting the competitive nature of the Bitcoin market . " "The overall scene captures the light-hearted and humorous dynamic between the characters , with a distinct anime aesthetic . " ) } # Generate the image for the prompt for name , prompt in prompts . items(): # Generate the image using the prompt image = pipe(prompt) . images[0] # Save the generated image filename = f"{name . lower() . replace(' ' , '_')} . png" image . save(filename) print(f"Saved image: {filename}") # Optionally , show the generated image image . show()
INFO
Prompts
from stable_diffusion import StableDiffusionPipeline import torch from PIL import Image # Load the Stable Diffusion model pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-4") pipe = pipe.to("cuda") # Use GPU if available # Define the detailed and playful prompt prompts = { "cooking_for_bitcoin_whale_anime": ( "An anime-style illustration featuring a beautiful young woman with large, expressive eyes, " "wearing a casual yet slightly revealing home outfit, cooking for a large, smug-looking whale that sits at a cozy kitchen table. " "The whale, with a shiny gold Bitcoin chain around its neck, has a content and self-satisfied expression. " "The woman, with a playful smile and a slight blush on her cheeks, is feeding the whale with a spoon, leaning forward seductively. " "Her hair is tied up in a cute, messy bun with a ribbon, adding to her charm. " "The kitchen is warmly lit, featuring soft colors and a welcoming atmosphere typical of slice-of-life anime settings. " "In the background, a sleek shark with a Bitcoin symbol on its fin observes the scene, reflecting the competitive nature of the Bitcoin market. " "The overall scene captures the light-hearted and humorous dynamic between the characters, with a distinct anime aesthetic." ) } # Generate the image for the prompt for name, prompt in prompts.items(): # Generate the image using the prompt image = pipe(prompt).images[0] # Save the generated image filename = f"{name.lower().replace(' ', '_')}.png" image.save(filename) print(f"Saved image: {filename}") # Optionally, show the generated image image.show()
CFG Scale
7
Steps
25
Sampler
euler
Seed
255221127
Scheduler
karras
Image Size
688 X 1024
Model
SeaArt Infinity
Generate
Size
688X1024
Date
Aug 31, 2024
Mode
Studio
Type
cell
Checkpoint & LoRA
SeaArt Infinity
Checkpoint
SeaArt Infinity
#Anime
#Breasts
#Anime Bishoujo
#Swimsuit
#SeaArt Infinity
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