Regarding anima training

I tried training a style LoRA on the recently popular Anima. Due to improvements in the VAE, the color effects have seen notable enhancements compared to SDXL,

but the results weren't as stunning as I had imagined. For the parameters, I directly applied the experience from training SDXL models,

and I'm wondering if this might be unsuitable for the DiT architecture?

For example, parameters like Min SNR gamma, Timestep Sampling, Discrete Flow Shift, etc.? After checking some other forums and websites, I still haven't reached a definitive conclusion. Additionally, the trainer I used is kohya_ss_anima.