fix crashing in saving lora with clipskip

library/sai_model_spec.py

@@ -194,8 +194,8 @@ def build_metadata(
         # comma separated to tuple
         if isinstance(reso, str):
             reso = tuple(map(int, reso.split(",")))
-            if len(reso) == 1:
-                reso = (reso[0], reso[0])
+        if len(reso) == 1:
+            reso = (reso[0], reso[0])
     else:
         # resolution is defined in dataset, so use default
         if sdxl:
@@ -215,7 +215,11 @@ def build_metadata(
         metadata["modelspec.prediction_type"] = PRED_TYPE_EPSILON
 
     if timesteps is not None:
-        metadata["modelspec.timestep_range"] = timesteps
+        if isinstance(timesteps, str) or isinstance(timesteps, int):
+            timesteps = (timesteps, timesteps)
+        if len(timesteps) == 1:
+            timesteps = (timesteps[0], timesteps[0])
+        metadata["modelspec.timestep_range"] = f"{timesteps[0]},{timesteps[1]}"
     else:
         del metadata["modelspec.timestep_range"]
 
@@ -228,7 +232,7 @@ def build_metadata(
     # assert all([v is not None for v in metadata.values()]), metadata
     if not all([v is not None for v in metadata.values()]):
         print(f"Internal error: some metadata values are None: {metadata}")
-
+    
     return metadata
 
 

library/train_util.py

@@ -2521,7 +2521,7 @@ def get_sai_model_spec(
     sdxl: bool,
     lora: bool,
     textual_inversion: bool,
-    is_stable_diffusion_ckpt: Optional[bool] = None, # None for TI and LoRA
+    is_stable_diffusion_ckpt: Optional[bool] = None,  # None for TI and LoRA
 ):
     timestamp = time.time()
 
@@ -2546,15 +2546,15 @@ def get_sai_model_spec(
         lora,
         textual_inversion,
         timestamp,
-        title,
-        reso,
-        is_stable_diffusion_ckpt,
-        args.metadata_author,
-        args.metadata_description,
-        args.metadata_license,
-        args.metadata_tags,
-        timesteps,
-        args.clip_skip,  # None or int
+        title=title,
+        reso=reso,
+        is_stable_diffusion_ckpt=is_stable_diffusion_ckpt,
+        author=args.metadata_author,
+        description=args.metadata_description,
+        license=args.metadata_license,
+        tags=args.metadata_tags,
+        timesteps=timesteps,
+        clip_skip=args.clip_skip,  # None or int
     )
     return metadata