steps : 3000*2
network dim : 64
network alpha : 32







Training steps and dim : v1>v2>v3>v4
My preference : v1>v2>v4>v3
Set network alpha much larger, which largely effect learning rate.
Outputs result better and more stable , which could means less stylized.
Also perform well with simple prompts (last 2 posts for example).
Without trigger words the outputs result slightly different, maybe worthwhile to try.
This time I'm pretty confident about the quality of dataset, so there won't be more version which caused by dataset change.
I really want to use AOM3 more but ???? isn't allowed in my workspace (sad)
steps : 3000*2
network dim : 64
network alpha : 32
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