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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 |