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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 |