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comfyanonymous 2025-12-05 01:11:22 -05:00 committed by GitHub
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comfy/sd.py
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@ -1217,8 +1217,6 @@ def load_text_encoder_state_dicts(state_dicts=[], embedding_directory=None, clip
parameters = 0 parameters = 0
for c in clip_data: for c in clip_data:
if "_quantization_metadata" in c:
c.pop("_quantization_metadata")
parameters += comfy.utils.calculate_parameters(c) parameters += comfy.utils.calculate_parameters(c)
tokenizer_data, model_options = comfy.text_encoders.long_clipl.model_options_long_clip(c, tokenizer_data, model_options) tokenizer_data, model_options = comfy.text_encoders.long_clipl.model_options_long_clip(c, tokenizer_data, model_options)
@ -1410,9 +1408,6 @@ def load_diffusion_model_state_dict(sd, model_options={}, metadata=None):
temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True) temp_sd = comfy.utils.state_dict_prefix_replace(sd, {diffusion_model_prefix: ""}, filter_keys=True)
if len(temp_sd) > 0: if len(temp_sd) > 0:
sd = temp_sd sd = temp_sd
quant_key = "{}_quantization_metadata".format(diffusion_model_prefix)
if metadata is not None and quant_key in metadata:
metadata["_quantization_metadata"] = metadata.pop(quant_key)
sd, metadata = comfy.utils.convert_old_quants(sd, "", metadata=metadata) sd, metadata = comfy.utils.convert_old_quants(sd, "", metadata=metadata)
parameters = comfy.utils.calculate_parameters(sd) parameters = comfy.utils.calculate_parameters(sd)