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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 prompt for the provocative whale scene
prompts = {
    "provocative_whale_scene": (
        "A humorous digital painting featuring a giant, self-absorbed whale with a mirror around its neck, striking a pose of extreme confidence. "
        "The whale is being adored by Mera, the Aqua Woman from Aquaman, who is playfully and provocatively positioned on top of the whale, showing her admiration. "
        "Mera is elegantly dressed, with a mischievous expression as she interacts with the whale in an exaggerated, playful manner. "
        "In the background, Aquaman looks on in a state of shock and disbelief, his muscles tensed in confusion. "
        "The underwater scene is colorful and vibrant, with whimsical and exaggerated features highlighting the humorous and provocative nature of the situation."
    )
}

# Generate the image for each 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 prompt for the provocative whale scene prompts = { "provocative_whale_scene": ( "A humorous digital painting featuring a giant , self-absorbed whale with a mirror around its neck , striking a pose of extreme confidence . " "The whale is being adored by Mera , the Aqua Woman from Aquaman , who is playfully and provocatively positioned on top of the whale , showing her admiration . " "Mera is elegantly dressed , with a mischievous expression as she interacts with the whale in an exaggerated , playful manner . " "In the background , Aquaman looks on in a state of shock and disbelief , his muscles tensed in confusion . " "The underwater scene is colorful and vibrant , with whimsical and exaggerated features highlighting the humorous and provocative nature of the situation . " ) } # Generate the image for each 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 prompt for the provocative whale scene prompts = { "provocative_whale_scene": ( "A humorous digital painting featuring a giant, self-absorbed whale with a mirror around its neck, striking a pose of extreme confidence. " "The whale is being adored by Mera, the Aqua Woman from Aquaman, who is playfully and provocatively positioned on top of the whale, showing her admiration. " "Mera is elegantly dressed, with a mischievous expression as she interacts with the whale in an exaggerated, playful manner. " "In the background, Aquaman looks on in a state of shock and disbelief, his muscles tensed in confusion. " "The underwater scene is colorful and vibrant, with whimsical and exaggerated features highlighting the humorous and provocative nature of the situation." ) } # Generate the image for each 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()
Escala CFG
7
Passos
25
Coletor
euler
Semente
879137180
Agendador
karras
Tamanho de Imagem
688 X 1024
Modelo
SeaArt Infinity
Criar
Tamanho
688X1024
Data
Aug 30, 2024
Modo
Estúdio
Tipo
cell
Checkpoint & LoRA
SeaArt Infinity
Checkpoint
SeaArt Infinity
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#SeaArt Infinity
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