Precalculate .safetensors model hashes after training

networks/lora.py

@@ -7,6 +7,8 @@ import math
 import os
 import torch
 
+from library import train_util
+
 
 class LoRAModule(torch.nn.Module):
   """
@@ -221,6 +223,14 @@ class LoRANetwork(torch.nn.Module):
 
     if os.path.splitext(file)[1] == '.safetensors':
       from safetensors.torch import save_file
+
+      # Precalculate model hashes to save time on indexing
+      if metadata is None:
+        metadata = {}
+      model_hash, legacy_hash = train_util.precalculate_safetensors_hashes(state_dict, metadata)
+      metadata["sshs_model_hash"] = model_hash
+      metadata["sshs_legacy_hash"] = legacy_hash
+
       save_file(state_dict, file, metadata)
     else:
       torch.save(state_dict, file)