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modules/SD15/SDToken.py

@@ -237,7 +237,7 @@ class SDTokenizer:
             - `min_length` (int, optional): The minimum length of the input. Defaults to None.
         """
         if tokenizer_path is None:
-            tokenizer_path = "_internal/sd1_tokenizer/"
+            tokenizer_path = "./_internal/sd1_tokenizer/"
         self.tokenizer = tokenizer_class.from_pretrained(tokenizer_path)
         self.max_length = max_length
         self.min_length = min_length

modules/UltimateSDUpscale/USDU_upscaler.py

@@ -37,7 +37,7 @@ class UpscaleModelLoader:
         #### Returns:
             - `tuple`: The loaded model.
         """
-        model_path = f"_internal/ESRGAN/{model_name}"
+        model_path = f"./_internal/ESRGAN/{model_name}"
         sd = util.load_torch_file(model_path, safe_load=True)
         if "module.layers.0.residual_group.blocks.0.norm1.weight" in sd:
             sd = util.state_dict_prefix_replace(sd, {"module.": ""})