Support inference with LyCORIS BOFT networks #14871
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@v0xie For the compatibility of "load weight" I may change the content of state dict in the near future. (Will be something in LyCORIS 2.1.0) Will review and refine this in next week |
LyCORIS will support save oft_blocks instead of oft_diag in the near future (for both OFT and BOFT) But this means we need to store the rescale if user enable it.
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This should be fine now. |
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There is an execution path where before if/else checks. |
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Support inference with LyCORIS BOFT networks
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Support inference with LyCORIS BOFT networks
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Description
This draft PR adds support for inference of BOFT networks trained with the dev branch of LyCORIS. The implementation is based on @KohakuBlueleaf's implementation here: https://github.com/KohakuBlueleaf/LyCORIS/blob/dev/lycoris/modules/boft.py
Since the name "oft_diag" is the same between OFT and BOFT, I think the simplest way to differentiate the two is the dimension of the weights (OFT: 3, BOFT: 4).
The calc_updown code is slightly modified from the get_weight function in the original. I'm not sure what to do about the scale parameter so I leave it at 1.0.
Screenshots/videos:
Checklist: