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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 PvPvE genre
prompts = {
    "pvpve_battle_scene": (
        "A high-stakes PvPvE battle scene in a vibrant digital painting. The image features a chaotic and dynamic battlefield where players are engaged in combat with both other players and fierce environment-based enemies. "
        "In the foreground, a team of diverse characters, each with unique armor and weapons, fights against powerful AI-controlled monsters or hostile creatures. "
        "In the background, rival players can be seen competing for control over strategic points or resources, adding a layer of tension and competition. "
        "The environment is a mix of rugged terrain and advanced technology, showcasing a post-apocalyptic or futuristic setting with detailed textures and vivid colors. "
        "Explosions, magical effects, and environmental hazards add to the chaos, creating an intense and immersive atmosphere. The overall composition emphasizes the thrill of battling on multiple fronts."
    )
}

# 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 prompt for PvPvE genre prompts = { "pvpve_battle_scene": ( "A high-stakes PvPvE battle scene in a vibrant digital painting. The image features a chaotic and dynamic battlefield where players are engaged in combat with both other players and fierce environment-based enemies. " "In the foreground, a team of diverse characters, each with unique armor and weapons, fights against powerful AI-controlled monsters or hostile creatures. " "In the background, rival players can be seen competing for control over strategic points or resources, adding a layer of tension and competition. " "The environment is a mix of rugged terrain and advanced technology, showcasing a post-apocalyptic or futuristic setting with detailed textures and vivid colors. " "Explosions, magical effects, and environmental hazards add to the chaos, creating an intense and immersive atmosphere. The overall composition emphasizes the thrill of battling on multiple fronts." ) } # 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 prompt for PvPvE genre prompts = { "pvpve_battle_scene": ( "A high-stakes PvPvE battle scene in a vibrant digital painting . The image features a chaotic and dynamic battlefield where players are engaged in combat with both other players and fierce environment-based enemies . " "In the foreground , a team of diverse characters , each with unique armor and weapons , fights against powerful AI-controlled monsters or hostile creatures . " "In the background , rival players can be seen competing for control over strategic points or resources , adding a layer of tension and competition . " "The environment is a mix of rugged terrain and advanced technology , showcasing a post-apocalyptic or futuristic setting with detailed textures and vivid colors . " "Explosions , magical effects , and environmental hazards add to the chaos , creating an intense and immersive atmosphere . The overall composition emphasizes the thrill of battling on multiple fronts . " ) } # 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 prompt for PvPvE genre prompts = { "pvpve_battle_scene": ( "A high-stakes PvPvE battle scene in a vibrant digital painting. The image features a chaotic and dynamic battlefield where players are engaged in combat with both other players and fierce environment-based enemies. " "In the foreground, a team of diverse characters, each with unique armor and weapons, fights against powerful AI-controlled monsters or hostile creatures. " "In the background, rival players can be seen competing for control over strategic points or resources, adding a layer of tension and competition. " "The environment is a mix of rugged terrain and advanced technology, showcasing a post-apocalyptic or futuristic setting with detailed textures and vivid colors. " "Explosions, magical effects, and environmental hazards add to the chaos, creating an intense and immersive atmosphere. The overall composition emphasizes the thrill of battling on multiple fronts." ) } # 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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