We offer an automatic CFG parameter adjustment test function. Under the same model, same prompt conditions, and same seed, you only need to adjust the number of steps, and the system will automatically sample the CFG parameter adjustment nodes and generate different effect comparisons. You can choose the parameter that you think works best and apply it to your model. This allows you to easily optimize parameters and achieve the best generation effect. Try and select the most suitable parameters for your needs!