Merge pull request #10089 from AUTOMATIC1111/LoraFix (b15bbef7) · Commits · github_fork / Stable Diffusion Webui

extensions-builtin/Lora/lora.py

+5 −1

Original line number	Diff line number	Diff line
		@@ -166,8 +166,10 @@ def load_lora(name, filename):
		module = torch.nn.Linear(weight.shape[1], weight.shape[0], bias=False)
		elif type(sd_module) == torch.nn.MultiheadAttention:
		module = torch.nn.Linear(weight.shape[1], weight.shape[0], bias=False)
		elif type(sd_module) == torch.nn.Conv2d:
		elif type(sd_module) == torch.nn.Conv2d and weight.shape[2:] == (1, 1):
		module = torch.nn.Conv2d(weight.shape[1], weight.shape[0], (1, 1), bias=False)
		elif type(sd_module) == torch.nn.Conv2d and weight.shape[2:] == (3, 3):
		module = torch.nn.Conv2d(weight.shape[1], weight.shape[0], (3, 3), bias=False)
		else:
		print(f'Lora layer {key_diffusers} matched a layer with unsupported type: {type(sd_module).__name__}')
		continue
		@@ -233,6 +235,8 @@ def lora_calc_updown(lora, module, target):

		if up.shape[2:] == (1, 1) and down.shape[2:] == (1, 1):
		updown = (up.squeeze(2).squeeze(2) @ down.squeeze(2).squeeze(2)).unsqueeze(2).unsqueeze(3)
		elif up.shape[2:] == (3, 3) or down.shape[2:] == (3, 3):
		updown = torch.nn.functional.conv2d(down.permute(1, 0, 2, 3), up).permute(1, 0, 2, 3)
		else:
		updown = up @ down