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 from PIL import Image

import io

# Hypothetical AI model for generating images

class AIImageGenerator:

    def generate_image(self, description, width, height):

        # Placeholder for AI image generation logic

        # This function should return image bytes

        return f"Generated image bytes based on: {description}".encode()

def generate_tshirt_design(theme, style, colors, width, height):

    ai_generator = AIImageGenerator()

    # Description for the AI model to generate a T-shirt design

    description = (

        f"A 4K T-shirt design with the theme '{theme}'. The design should incorporate "

        f"a {style} style and use the following colors: {', '.join(colors)}. "

        "The design should be modern, trendy, and appealing for a wide audience."

    )

    # Generate the image

    image_bytes = ai_generator.generate_image(description, width, height)

    

    # Convert the image bytes to an Image object

    image = Image.open(io.BytesIO(image_bytes))

    return image

def save_image_as_png(image, file_path):

    image.save(file_path, format="PNG")

# Example usage

theme = "Space Exploration"

style = "abstract"

colors = ["blue", "black", "white"]

width = 3840 # 4K width

height = 2160 # 4K height

# Generate the T-shirt design

tshirt_design_image = generate_tshirt_design(theme, style, colors, width, height)

# Save the design as a PNG file

file_path = "tshirt_design.png"

save_image_as_png(tshirt_design_image, file_path)

print

(f"4K T-shirt design saved as {file_path}")