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lora guard against param change on-the-fly

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Signed-off-by: Vladimir Mandic <mandic00@live.com>
This commit is contained in:
Vladimir Mandic
2026-07-01 15:53:38 +02:00
parent e361675f2e
commit 7eacfafa4a
1 changed files with 2 additions and 2 deletions
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modules/lora/lora_apply.py
+2 -2
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@@ -259,7 +259,7 @@ def network_apply_weights(self: torch.nn.Conv2d | torch.nn.Linear | torch.nn.Gro
return
t0 = time.time()
if weights_backup is not None:
if weights_backup is not None and not isinstance(weights_backup, bool):
self.weight = None
if updown is not None and len(weights_backup.shape) == 4 and weights_backup.shape[1] == 9: # inpainting model. zero pad updown to make channel[1] 4 to 9
updown = torch.nn.functional.pad(updown, (0, 0, 0, 0, 0, 5)) # pylint: disable=not-callable
@@ -281,7 +281,7 @@ def network_apply_weights(self: torch.nn.Conv2d | torch.nn.Linear | torch.nn.Gro
self.svd_up, self.svd_down = None, None
# del self.sdnq_dequantizer_backup, self.sdnq_scale_backup, self.sdnq_zero_point_backup, self.sdnq_svd_up_backup, self.sdnq_svd_down_backup
if bias_backup is not None:
if bias_backup is not None and not isinstance(bias_backup, bool):
self.bias = None
if ex_bias is not None:
network_add_weights(self, model_weights=bias_backup, lora_weights=ex_bias, deactivate=deactivate, device=device, bias=True)