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AUTOMATIC1111
GitHub Repository: AUTOMATIC1111/stable-diffusion-webui
 Path: blob/master/extensions-builtin/Lora/network_lokr.py
2447 views
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import torch

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import lyco_helpers

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import network

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class ModuleTypeLokr(network.ModuleType):

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    def create_module(self, net: network.Network, weights: network.NetworkWeights):

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        has_1 = "lokr_w1" in weights.w or ("lokr_w1_a" in weights.w and "lokr_w1_b" in weights.w)

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        has_2 = "lokr_w2" in weights.w or ("lokr_w2_a" in weights.w and "lokr_w2_b" in weights.w)

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        if has_1 and has_2:

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            return NetworkModuleLokr(net, weights)

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        return None

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def make_kron(orig_shape, w1, w2):

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    if len(w2.shape) == 4:

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        w1 = w1.unsqueeze(2).unsqueeze(2)

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    w2 = w2.contiguous()

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    return torch.kron(w1, w2).reshape(orig_shape)

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class NetworkModuleLokr(network.NetworkModule):

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    def __init__(self,  net: network.Network, weights: network.NetworkWeights):

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        super().__init__(net, weights)

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        self.w1 = weights.w.get("lokr_w1")

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        self.w1a = weights.w.get("lokr_w1_a")

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        self.w1b = weights.w.get("lokr_w1_b")

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        self.dim = self.w1b.shape[0] if self.w1b is not None else self.dim

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        self.w2 = weights.w.get("lokr_w2")

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        self.w2a = weights.w.get("lokr_w2_a")

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        self.w2b = weights.w.get("lokr_w2_b")

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        self.dim = self.w2b.shape[0] if self.w2b is not None else self.dim

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        self.t2 = weights.w.get("lokr_t2")

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    def calc_updown(self, orig_weight):

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        if self.w1 is not None:

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            w1 = self.w1.to(orig_weight.device)

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        else:

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            w1a = self.w1a.to(orig_weight.device)

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            w1b = self.w1b.to(orig_weight.device)

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            w1 = w1a @ w1b

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        if self.w2 is not None:

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            w2 = self.w2.to(orig_weight.device)

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        elif self.t2 is None:

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            w2a = self.w2a.to(orig_weight.device)

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            w2b = self.w2b.to(orig_weight.device)

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            w2 = w2a @ w2b

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        else:

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            t2 = self.t2.to(orig_weight.device)

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            w2a = self.w2a.to(orig_weight.device)

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            w2b = self.w2b.to(orig_weight.device)

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            w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b)

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        output_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)]

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        if len(orig_weight.shape) == 4:

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            output_shape = orig_weight.shape

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        updown = make_kron(output_shape, w1, w2)

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        return self.finalize_updown(updown, orig_weight, output_shape)

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