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v0xie 2023-10-19 12:52:14 -07:00
parent 321680ccd0
commit d10c4db57e
2 changed files with 2 additions and 37 deletions
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4
extensions-builtin/Lora/network_oft.py
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@ -37,7 +37,7 @@ class NetworkModuleOFT(network.NetworkModule):
def apply_to(self): def apply_to(self):
self.org_forward = self.org_module[0].forward self.org_forward = self.org_module[0].forward
self.org_module[0].forward = self.forward self.org_module[0].forward = self.forward
def get_weight(self, oft_blocks, multiplier=None): def get_weight(self, oft_blocks, multiplier=None):
block_Q = oft_blocks - oft_blocks.transpose(1, 2) block_Q = oft_blocks - oft_blocks.transpose(1, 2)
norm_Q = torch.norm(block_Q.flatten()) norm_Q = torch.norm(block_Q.flatten())
@ -66,7 +66,7 @@ class NetworkModuleOFT(network.NetworkModule):
output_shape = self.oft_blocks.shape output_shape = self.oft_blocks.shape
return self.finalize_updown(updown, orig_weight, output_shape) return self.finalize_updown(updown, orig_weight, output_shape)
def forward(self, x, y=None): def forward(self, x, y=None):
x = self.org_forward(x) x = self.org_forward(x)
if self.multiplier() == 0.0: if self.multiplier() == 0.0:

35
extensions-builtin/Lora/networks.py
View File

@ -169,10 +169,6 @@ def load_network(name, network_on_disk):
else: else:
emb_dict[vec_name] = weight emb_dict[vec_name] = weight
bundle_embeddings[emb_name] = emb_dict bundle_embeddings[emb_name] = emb_dict
#if key_network_without_network_parts == "oft_unet":
# print(key_network_without_network_parts)
# pass
key = convert_diffusers_name_to_compvis(key_network_without_network_parts, is_sd2) key = convert_diffusers_name_to_compvis(key_network_without_network_parts, is_sd2)
sd_module = shared.sd_model.network_layer_mapping.get(key, None) sd_module = shared.sd_model.network_layer_mapping.get(key, None)
@ -196,31 +192,8 @@ def load_network(name, network_on_disk):
sd_module = shared.sd_model.network_layer_mapping.get(key, None) sd_module = shared.sd_model.network_layer_mapping.get(key, None)
elif sd_module is None and "oft_unet" in key_network_without_network_parts: elif sd_module is None and "oft_unet" in key_network_without_network_parts:
# UNET_TARGET_REPLACE_MODULE_ALL_LINEAR = ["Transformer2DModel"]
# UNET_TARGET_REPLACE_MODULE_CONV2D_3X3 = ["ResnetBlock2D", "Downsample2D", "Upsample2D"]
UNET_TARGET_REPLACE_MODULE_ATTN_ONLY = ["CrossAttention"]
# TODO: Change matchedm odules based on whether all linear, conv, etc
key = key_network_without_network_parts.replace("oft_unet", "diffusion_model") key = key_network_without_network_parts.replace("oft_unet", "diffusion_model")
sd_module = shared.sd_model.network_layer_mapping.get(key, None) sd_module = shared.sd_model.network_layer_mapping.get(key, None)
#key_no_suffix = key.rsplit("_to_", 1)[0]
## Match all modules of class CrossAttention
#replace_module_list = []
#for module_type in UNET_TARGET_REPLACE_MODULE_ATTN_ONLY:
# replace_module_list += [module for k, module in shared.sd_model.network_layer_mapping.items() if module_type in module.__class__.__name__]
#matched_module = replace_module_list.get(key_no_suffix, None)
#if key.endswith('to_q'):
# sd_module = matched_module.to_q or None
#if key.endswith('to_k'):
# sd_module = matched_module.to_k or None
#if key.endswith('to_v'):
# sd_module = matched_module.to_v or None
#if key.endswith('to_out_0'):
# sd_module = matched_module.to_out[0] or None
#if key.endswith('to_out_1'):
# sd_module = matched_module.to_out[1] or None
if sd_module is None: if sd_module is None:
keys_failed_to_match[key_network] = key keys_failed_to_match[key_network] = key
@ -242,14 +215,6 @@ def load_network(name, network_on_disk):
raise AssertionError(f"Could not find a module type (out of {', '.join([x.__class__.__name__ for x in module_types])}) that would accept those keys: {', '.join(weights.w)}") raise AssertionError(f"Could not find a module type (out of {', '.join([x.__class__.__name__ for x in module_types])}) that would accept those keys: {', '.join(weights.w)}")
net.modules[key] = net_module net.modules[key] = net_module
# replaces forward method of original Linear
# applied_to_count = 0
#for key, created_module in net.modules.items():
# if isinstance(created_module, network_oft.NetworkModuleOFT):
# net_module.apply_to()
#applied_to_count += 1
# print(f'Applied OFT modules: {applied_to_count}')
embeddings = {} embeddings = {}
for emb_name, data in bundle_embeddings.items(): for emb_name, data in bundle_embeddings.items():