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# img_gen_logic.py
from PIL import Image
import numpy as np

def generate_image(prompt, team, model, height, width, num_inference_steps, guidance_scale, seed, custom_prompt):
    print("=== Debug: Inside generate_image ===")
    print(f"Prompt: {prompt}")
    print(f"Team: {team}")
    print(f"Model: {model}")
    print(f"Height: {height}")
    print(f"Width: {width}")
    print(f"Inference Steps: {num_inference_steps}")
    print(f"Guidance Scale: {guidance_scale}")
    print(f"Seed: {seed}")
    print(f"Custom Prompt: {custom_prompt}")

    # Simulate API call or image generation logic
    try:
        # Replace this with your actual image generation logic
        print("=== Debug: Simulating API Call ===")
        # Example: Return a placeholder image or error message
        if not prompt:
            return "Error: Prompt is required.", None
        else:
            # Simulate a successful image generation
            image = Image.fromarray(np.random.randint(0, 255, (height, width, 3), dtype=np.uint8))
            return image, "Image generated successfully."
    except Exception as e:
        print(f"=== Debug: Error in generate_image ===")
        print(str(e))
        return str(e), None