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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 provocative and detailed prompt
prompts = {
    "sensual_whale_scene": (
        "A provocative digital painting featuring a colossal, self-assured whale with a gleaming Bitcoin chain around its neck. "
        "The whale is depicted in an elaborate pose, radiating confidence and charm. Mera, the Aqua Woman from Aquaman, is shown in a dominant riding position on top of the whale. "
        "Her expression is one of intense, almost ecstatic pleasure, as she holds onto the Bitcoin chain, clearly enjoying the interaction. "
        "The scene emphasizes the erotic and powerful connection between Mera and the whale, with exaggerated details of her pleasure. "
        "Aquaman, in the background, is depicted with a heartbroken, tearful expression, his face showing deep sorrow and disbelief. "
        "The underwater environment is richly colored and surreal, enhancing the emotional and dramatic contrast of the scene."
    )
}

# 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 provocative and detailed prompt prompts = { "sensual_whale_scene": ( "A provocative digital painting featuring a colossal , self-assured whale with a gleaming Bitcoin chain around its neck . " "The whale is depicted in an elaborate pose , radiating confidence and charm . Mera , the Aqua Woman from Aquaman , is shown in a dominant riding position on top of the whale . " "Her expression is one of intense , almost ecstatic pleasure , as she holds onto the Bitcoin chain , clearly enjoying the interaction . " "The scene emphasizes the erotic and powerful connection between Mera and the whale , with exaggerated details of her pleasure . " "Aquaman , in the background , is depicted with a heartbroken , tearful expression , his face showing deep sorrow and disbelief . " "The underwater environment is richly colored and surreal , enhancing the emotional and dramatic contrast of the scene . " ) } # 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 provocative and detailed prompt prompts = { "sensual_whale_scene": ( "A provocative digital painting featuring a colossal, self-assured whale with a gleaming Bitcoin chain around its neck. " "The whale is depicted in an elaborate pose, radiating confidence and charm. Mera, the Aqua Woman from Aquaman, is shown in a dominant riding position on top of the whale. " "Her expression is one of intense, almost ecstatic pleasure, as she holds onto the Bitcoin chain, clearly enjoying the interaction. " "The scene emphasizes the erotic and powerful connection between Mera and the whale, with exaggerated details of her pleasure. " "Aquaman, in the background, is depicted with a heartbroken, tearful expression, his face showing deep sorrow and disbelief. " "The underwater environment is richly colored and surreal, enhancing the emotional and dramatic contrast of the scene." ) } # 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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Aug 30, 2024
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