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https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-18 22:08:13 +00:00
update doc and code
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@@ -26,6 +26,11 @@ def load_state_dict_from_safetensors(file_path, torch_dtype=None, device="cpu"):
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def load_state_dict_from_bin(file_path, torch_dtype=None, device="cpu"):
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state_dict = torch.load(file_path, map_location=device, weights_only=True)
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if len(state_dict) == 1:
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if "state_dict" in state_dict:
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state_dict = state_dict["state_dict"]
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elif "module" in state_dict:
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state_dict = state_dict["module"]
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if torch_dtype is not None:
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for i in state_dict:
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if isinstance(state_dict[i], torch.Tensor):
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@@ -75,11 +80,19 @@ def load_keys_dict_from_safetensors(file_path):
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return keys_dict
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def load_keys_dict_from_bin(file_path):
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state_dict = load_state_dict_from_bin(file_path)
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def convert_state_dict_to_keys_dict(state_dict):
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keys_dict = {}
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for k, v in state_dict.items():
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keys_dict[k] = list(v.shape)
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if isinstance(v, torch.Tensor):
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keys_dict[k] = list(v.shape)
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else:
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keys_dict[k] = convert_state_dict_to_keys_dict(v)
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return keys_dict
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def load_keys_dict_from_bin(file_path):
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state_dict = load_state_dict_from_bin(file_path)
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keys_dict = convert_state_dict_to_keys_dict(state_dict)
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return keys_dict
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@@ -88,7 +101,7 @@ def convert_keys_dict_to_single_str(state_dict, with_shape=True):
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for key, value in state_dict.items():
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if isinstance(key, str):
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if isinstance(value, dict):
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keys.append(key + "|" + convert_state_dict_keys_to_single_str(value, with_shape=with_shape))
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keys.append(key + "|" + convert_keys_dict_to_single_str(value, with_shape=with_shape))
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else:
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if with_shape:
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shape = "_".join(map(str, list(value)))
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