[Bug]: Sampling gone wrong after latest updates

[djp3k05]

What happened?

Using same project, exactly same settings, I was getting weird/bad samples. I could not understand way the sudden change in training quality. Till, as a last resort, I tried to generate a Image in A1111, using exactly same seed, same promt, same sampler. Here is the sample in Onetrainer and the sample in A1111:

So OneTrainer sampling is not getting any more same quality in sampling. And this is very misleading... I thought that something got very wrong while training, but it was not the training fault, it is the sampling fault,

EDIT: to clarify: The first image is generated at step 703 from OneTrainer while training. At this step I saved the .safetensor file and loaded it in A1111 and generated a image using same seed, promt and other settings.

Before the updates made in the last few days, the sampling from Onetrainer worked fine,,, I was getting same images while sampling compared with the models loaded in A1111.

What did you expect would happen?

Fix the sampling...

Relevant log output

No response

Output of pip freeze

No response