Much Worse test result when using gradio_canny2image.py than validation result.

Hi Thanks for your great work. I've trained Controlnet using Canny Edge. After 30 epoch, the validation images in image_log show quite realistic good results. So I used the model and run gradio_canny2image.py and tried with a lot of different parameter settings like CFG, but it shows always so bad result compared to the validation results. Is there any difference between validation process or parameter settings and web version?

Please help me~! Thank you!