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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 prompt for the whale scene
prompts = {
    "provocative_whale_scene": (
        "A highly provocative digital painting featuring a massive, self-absorbed whale adorned with a sparkling Bitcoin chain around its neck. "
        "The whale is striking a triumphant, almost sensual pose as it basks in its own grandeur. Mera, the Aqua Woman from Aquaman, is shown in a state of ecstatic pleasure, "
        "her face contorted in a rapturous expression as she passionately grips the Bitcoin chain. Her body language suggests intense enjoyment, with exaggerated details emphasizing her pleasure. "
        "In stark contrast, Aquaman is depicted in the background, visibly distraught and tearful, his face reflecting a mix of shock and despair. "
        "The underwater scene is vividly colored, with surreal and exaggerated elements, amplifying the emotional contrast and the dramatic, provocative nature of the scene. "
        "The atmosphere is charged with tension, highlighting the intense, provocative interaction between Mera and the whale, while Aquaman's emotional reaction adds to the scene's dramatic impact."
    )
}

# 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 prompt for the whale scene prompts = { "provocative_whale_scene": ( "A highly provocative digital painting featuring a massive, self-absorbed whale adorned with a sparkling Bitcoin chain around its neck. " "The whale is striking a triumphant, almost sensual pose as it basks in its own grandeur. Mera, the Aqua Woman from Aquaman, is shown in a state of ecstatic pleasure, " "her face contorted in a rapturous expression as she passionately grips the Bitcoin chain. Her body language suggests intense enjoyment, with exaggerated details emphasizing her pleasure. " "In stark contrast, Aquaman is depicted in the background, visibly distraught and tearful, his face reflecting a mix of shock and despair. " "The underwater scene is vividly colored, with surreal and exaggerated elements, amplifying the emotional contrast and the dramatic, provocative nature of the scene. " "The atmosphere is charged with tension, highlighting the intense, provocative interaction between Mera and the whale, while Aquaman's emotional reaction adds to the scene's dramatic impact." ) } # 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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J
Junior Mbasu
Generation Data
Protokolle
Prompts
Prompts kopieren
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 prompt for the whale scene prompts = { "provocative_whale_scene": ( "A highly provocative digital painting featuring a massive , self-absorbed whale adorned with a sparkling Bitcoin chain around its neck . " "The whale is striking a triumphant , almost sensual pose as it basks in its own grandeur . Mera , the Aqua Woman from Aquaman , is shown in a state of ecstatic pleasure , " "her face contorted in a rapturous expression as she passionately grips the Bitcoin chain . Her body language suggests intense enjoyment , with exaggerated details emphasizing her pleasure . " "In stark contrast , Aquaman is depicted in the background , visibly distraught and tearful , his face reflecting a mix of shock and despair . " "The underwater scene is vividly colored , with surreal and exaggerated elements , amplifying the emotional contrast and the dramatic , provocative nature of the scene . " "The atmosphere is charged with tension , highlighting the intense , provocative interaction between Mera and the whale , while Aquaman's emotional reaction adds to the scene's dramatic impact . " ) } # 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 provocative prompt for the whale scene prompts = { "provocative_whale_scene": ( "A highly provocative digital painting featuring a massive, self-absorbed whale adorned with a sparkling Bitcoin chain around its neck. " "The whale is striking a triumphant, almost sensual pose as it basks in its own grandeur. Mera, the Aqua Woman from Aquaman, is shown in a state of ecstatic pleasure, " "her face contorted in a rapturous expression as she passionately grips the Bitcoin chain. Her body language suggests intense enjoyment, with exaggerated details emphasizing her pleasure. " "In stark contrast, Aquaman is depicted in the background, visibly distraught and tearful, his face reflecting a mix of shock and despair. " "The underwater scene is vividly colored, with surreal and exaggerated elements, amplifying the emotional contrast and the dramatic, provocative nature of the scene. " "The atmosphere is charged with tension, highlighting the intense, provocative interaction between Mera and the whale, while Aquaman's emotional reaction adds to the scene's dramatic impact." ) } # 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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