Handle missing global_step key in scripts/convert_original_stable_diffusion_to_diffusers.py (#1612)

handle missing global_step key and don't download config if it already exists

scripts/convert_original_stable_diffusion_to_diffusers.py

@@ -854,7 +854,13 @@ if __name__ == "__main__":
     prediction_type = args.prediction_type
 
     checkpoint = torch.load(args.checkpoint_path)
+
+    # Sometimes models don't have the global_step item
+    if "global_step" in checkpoint:
         global_step = checkpoint["global_step"]
+    else:
+        print("global_step key not found in model")
+        global_step = None
     checkpoint = checkpoint["state_dict"]
 
     upcast_attention = False
@@ -862,9 +868,11 @@ if __name__ == "__main__":
         key_name = "model.diffusion_model.input_blocks.2.1.transformer_blocks.0.attn2.to_k.weight"
 
         if key_name in checkpoint and checkpoint[key_name].shape[-1] == 1024:
+            if not os.path.isfile("v2-inference-v.yaml"):
                 # model_type = "v2"
                 os.system(
                     "wget https://raw.githubusercontent.com/Stability-AI/stablediffusion/main/configs/stable-diffusion/v2-inference-v.yaml"
+                    " -O v2-inference-v.yaml"
                 )
             args.original_config_file = "./v2-inference-v.yaml"
 
@@ -872,9 +880,11 @@ if __name__ == "__main__":
                 # v2.1 needs to upcast attention
                 upcast_attention = True
         else:
+            if not os.path.isfile("v1-inference.yaml"):
                 # model_type = "v1"
                 os.system(
                     "wget https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml"
+                    " -O v1-inference.yaml"
                 )
             args.original_config_file = "./v1-inference.yaml"