Merge pull request #846 from kohya-ss/dev

Fix to work training U-Net only LoRA for SD1/2

train_network.py

@@ -12,10 +12,13 @@
 
 from tqdm import tqdm
 import torch
+
 try:
     import intel_extension_for_pytorch as ipex
+
     if torch.xpu.is_available():
         from library.ipex import ipex_init
+
         ipex_init()
 except Exception:
     pass
@@ -426,7 +429,12 @@ def train(self, args):
                 t_enc.train()
 
                 # set top parameter requires_grad = True for gradient checkpointing works
-                t_enc.text_model.embeddings.requires_grad_(True)
+                if train_text_encoder:
+                    t_enc.text_model.embeddings.requires_grad_(True)
+
+            # set top parameter requires_grad = True for gradient checkpointing works
+            if not train_text_encoder:  # train U-Net only
+                unet.parameters().__next__().requires_grad_(True)
         else:
             unet.eval()
             for t_enc in text_encoders: