do not save metadata in .pt/.ckpt

gen_img_diffusers.py

@@ -1975,16 +1975,11 @@ def main(args):
         network_weight = args.network_weights[i]
         print("load network weights from:", network_weight)
 
-        metadata = None
         if os.path.splitext(network_weight)[1] == '.safetensors':
           from safetensors.torch import safe_open
           with safe_open(network_weight, framework="pt") as f:
             metadata = f.metadata()
-        else:
-          with zipfile.ZipFile(network_weight, "r") as zipf:
-            if "sd_scripts_metadata.json" in zipf.namelist():
-              with zipf.open("sd_scripts_metadata.json", "r") as jsfile:
-                metadata = json.load(jsfile)
+          if metadata is not None:
             print(f"metadata for: {network_weight}: {metadata}")
 
         network.load_weights(network_weight)

networks/lora.py

@@ -6,8 +6,6 @@
 import math
 import os
 import torch
-import zipfile
-import json
 
 
 class LoRAModule(torch.nn.Module):
@@ -58,7 +56,6 @@ class LoRANetwork(torch.nn.Module):
   TEXT_ENCODER_TARGET_REPLACE_MODULE = ["CLIPAttention", "CLIPMLP"]
   LORA_PREFIX_UNET = 'lora_unet'
   LORA_PREFIX_TEXT_ENCODER = 'lora_te'
-  METADATA_KEY_NAME = "sd_scripts_metadata"
 
   def __init__(self, text_encoder, unet, multiplier=1.0, lora_dim=4) -> None:
     super().__init__()
@@ -193,6 +190,4 @@ class LoRANetwork(torch.nn.Module):
       from safetensors.torch import save_file
       save_file(state_dict, file, metadata)
     else:
-      if metadata is not None:
-        state_dict[LoRANetwork.METADATA_KEY_NAME] = metadata
       torch.save(state_dict, file)