Issue loading a PEFT lora model

[frutiemax92]

When trying to load this PEFT Lora model I have multiple issues.
https://www.dropbox.com/scl/fi/30y9yn26ao8pnwch7z1ex/test_lora.zip?rlkey=r6kvgzwvrqm9tnw4jz8ctgu2f&st=x8r69pb3&dl=0

The first is that the code crashes at the line k = new_modelpatcher.add_patches(loaded, strength) in lora.py when using the automatic cfg node after loading the lora.

Also, when I am trying to load the Lora, it doesn't find all the layers it needs to patch i.e. only 14 layers out of 574of them... There is an image generating but it doesn't load the lora correctly!

PixArt: LoRA conversion has leftover keys! (14 vs 574)
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PixArt: LoRA conversion has missing keys! (probably)

[frutiemax92]

Replaced the get_lora_depth function but the ff and to_out layers are still not handled correctly.

PixArt: LoRA conversion has leftover keys! (350 vs 574)
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PixArt: LoRA conversion has missing keys! (probably)

[frutiemax92]

Even with the latest merged PR, I am still getting different results between using the node and merging to a checkpoint. I believe there are some missing layers/weights still!

[frutiemax92]

Here is a lora example I just published:
https://civitai.com/models/578802?modelVersionId=645548

I've seen that I need to crank the lora strength quite a bit i.e. up to 1.8 to get good results. Is there anything in the patching algorithm that needs quite a boost in the strength?