Cannot repeat outputs from image_log

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Hi, I am having issue to get similar outputs as in image_log. I have trained the model on sd2 core with custom dataset. I also prepare gradio_foo.py script to make an inference and I writer another script on based on ControlLDM class(to use the same params as training) and image log method, but non of these approaches gave me similar results as results in image_log during the training. The outputs don't need to be the same, but quality of output have to. Almost all images from training are good enough for end solution, but inference on gradio is giving me completely unuseful outputs.

So the main question is, how to make outputs with similar quality?

Unfortunately I cannot show any examples, the data is private.

Start with gradio_foo.py and the script based on the ControlLDM class, then compare their parameters and inference path with the training image_log method. Done would mean producing inference outputs with comparable quality, but the private data and missing examples make the difference difficult to reproduce or verify.

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