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| author | AUTOMATIC1111 <16777216c@gmail.com> | 2023-07-17 12:51:59 +0000 |
|---|---|---|
| committer | GitHub <noreply@github.com> | 2023-07-17 12:51:59 +0000 |
| commit | 2164578738edba6f56c4e95409c56f9ccef442e0 (patch) | |
| tree | eedb5d43663dc108f15e7b36ea51b0570e919c7b /extensions-builtin/Lora/network_lokr.py | |
| parent | 05d23c78376ce73d3de932c7e7b8871914295675 (diff) | |
| parent | 35510f7529dc05437a82496187ef06b852be9ab1 (diff) | |
| download | stable-diffusion-webui-gfx803-2164578738edba6f56c4e95409c56f9ccef442e0.tar.gz stable-diffusion-webui-gfx803-2164578738edba6f56c4e95409c56f9ccef442e0.tar.bz2 stable-diffusion-webui-gfx803-2164578738edba6f56c4e95409c56f9ccef442e0.zip | |
Merge pull request #11821 from AUTOMATIC1111/lora_lyco
lora extension rework to include other types of networks
Diffstat (limited to 'extensions-builtin/Lora/network_lokr.py')
| -rw-r--r-- | extensions-builtin/Lora/network_lokr.py | 64 |
1 files changed, 64 insertions, 0 deletions
diff --git a/extensions-builtin/Lora/network_lokr.py b/extensions-builtin/Lora/network_lokr.py new file mode 100644 index 00000000..920062e2 --- /dev/null +++ b/extensions-builtin/Lora/network_lokr.py @@ -0,0 +1,64 @@ +import torch
+
+import lyco_helpers
+import network
+
+
+class ModuleTypeLokr(network.ModuleType):
+ def create_module(self, net: network.Network, weights: network.NetworkWeights):
+ has_1 = "lokr_w1" in weights.w or ("lokr_w1a" in weights.w and "lokr_w1b" in weights.w)
+ has_2 = "lokr_w2" in weights.w or ("lokr_w2a" in weights.w and "lokr_w2b" in weights.w)
+ if has_1 and has_2:
+ return NetworkModuleLokr(net, weights)
+
+ return None
+
+
+def make_kron(orig_shape, w1, w2):
+ if len(w2.shape) == 4:
+ w1 = w1.unsqueeze(2).unsqueeze(2)
+ w2 = w2.contiguous()
+ return torch.kron(w1, w2).reshape(orig_shape)
+
+
+class NetworkModuleLokr(network.NetworkModule):
+ def __init__(self, net: network.Network, weights: network.NetworkWeights):
+ super().__init__(net, weights)
+
+ self.w1 = weights.w.get("lokr_w1")
+ self.w1a = weights.w.get("lokr_w1_a")
+ self.w1b = weights.w.get("lokr_w1_b")
+ self.dim = self.w1b.shape[0] if self.w1b else self.dim
+ self.w2 = weights.w.get("lokr_w2")
+ self.w2a = weights.w.get("lokr_w2_a")
+ self.w2b = weights.w.get("lokr_w2_b")
+ self.dim = self.w2b.shape[0] if self.w2b else self.dim
+ self.t2 = weights.w.get("lokr_t2")
+
+ def calc_updown(self, orig_weight):
+ if self.w1 is not None:
+ w1 = self.w1.to(orig_weight.device, dtype=orig_weight.dtype)
+ else:
+ w1a = self.w1a.to(orig_weight.device, dtype=orig_weight.dtype)
+ w1b = self.w1b.to(orig_weight.device, dtype=orig_weight.dtype)
+ w1 = w1a @ w1b
+
+ if self.w2 is not None:
+ w2 = self.w2.to(orig_weight.device, dtype=orig_weight.dtype)
+ elif self.t2 is None:
+ w2a = self.w2a.to(orig_weight.device, dtype=orig_weight.dtype)
+ w2b = self.w2b.to(orig_weight.device, dtype=orig_weight.dtype)
+ w2 = w2a @ w2b
+ else:
+ t2 = self.t2.to(orig_weight.device, dtype=orig_weight.dtype)
+ w2a = self.w2a.to(orig_weight.device, dtype=orig_weight.dtype)
+ w2b = self.w2b.to(orig_weight.device, dtype=orig_weight.dtype)
+ w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b)
+
+ output_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)]
+ if len(orig_weight.shape) == 4:
+ output_shape = orig_weight.shape
+
+ updown = make_kron(output_shape, w1, w2)
+
+ return self.finalize_updown(updown, orig_weight, output_shape)
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