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align flux lora format (#204)
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@@ -248,5 +248,52 @@ class GeneralLoRAFromPeft:
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return None
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class FluxLoRAConverter:
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def __init__(self):
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pass
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def align_to_opensource_format(self, state_dict, alpha=1.0):
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prefix_rename_dict = {
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"single_blocks": "lora_unet_single_blocks",
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"blocks": "lora_unet_double_blocks",
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}
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middle_rename_dict = {
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"norm.linear": "modulation_lin",
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"to_qkv_mlp": "linear1",
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"proj_out": "linear2",
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"norm1_a.linear": "img_mod_lin",
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"norm1_b.linear": "txt_mod_lin",
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"attn.a_to_qkv": "img_attn_qkv",
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"attn.b_to_qkv": "txt_attn_qkv",
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"attn.a_to_out": "img_attn_proj",
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"attn.b_to_out": "txt_attn_proj",
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"ff_a.0": "img_mlp_0",
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"ff_a.2": "img_mlp_2",
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"ff_b.0": "txt_mlp_0",
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"ff_b.2": "txt_mlp_2",
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}
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suffix_rename_dict = {
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"lora_B.weight": "lora_up.weight",
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"lora_A.weight": "lora_down.weight",
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}
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state_dict_ = {}
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for name, param in state_dict.items():
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names = name.split(".")
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if names[-2] != "lora_A" and names[-2] != "lora_B":
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names.pop(-2)
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prefix = names[0]
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middle = ".".join(names[2:-2])
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suffix = ".".join(names[-2:])
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block_id = names[1]
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if middle not in middle_rename_dict:
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continue
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rename = prefix_rename_dict[prefix] + "_" + block_id + "_" + middle_rename_dict[middle] + "." + suffix_rename_dict[suffix]
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state_dict_[rename] = param
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if rename.endswith("lora_up.weight"):
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state_dict_[rename.replace("lora_up.weight", "alpha")] = torch.tensor((alpha,))[0]
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return state_dict_
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def get_lora_loaders():
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return [SDLoRAFromCivitai(), SDXLLoRAFromCivitai(), GeneralLoRAFromPeft(), FluxLoRAFromCivitai()]
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