diff --git a/iopaint/download.py b/iopaint/download.py
index 7908d53..b55e5a6 100644
--- a/iopaint/download.py
+++ b/iopaint/download.py
@@ -36,10 +36,7 @@ def cli_download_model(model: str):
         from diffusers import DiffusionPipeline
 
         downloaded_path = handle_from_pretrained_exceptions(
-            DiffusionPipeline.download,
-            pretrained_model_name=model,
-            variant="fp16",
-            resume_download=True,
+            DiffusionPipeline.download, pretrained_model_name=model, variant="fp16"
         )
         logger.info(f"Done. Downloaded to {downloaded_path}")
 
diff --git a/iopaint/model/controlnet.py b/iopaint/model/controlnet.py
index 7b4d243..24db2b6 100644
--- a/iopaint/model/controlnet.py
+++ b/iopaint/model/controlnet.py
@@ -79,6 +79,7 @@ class ControlNet(DiffusionInpaintModel):
             from diffusers import (
                 StableDiffusionControlNetInpaintPipeline as PipeClass,
             )
+
             original_config_file_name = "v1"
 
         elif model_info.model_type in [
@@ -88,11 +89,11 @@ class ControlNet(DiffusionInpaintModel):
             from diffusers import (
                 StableDiffusionXLControlNetInpaintPipeline as PipeClass,
             )
+
             original_config_file_name = "xl"
 
         controlnet = ControlNetModel.from_pretrained(
             pretrained_model_name_or_path=controlnet_method,
-            resume_download=True,
             local_files_only=model_kwargs["local_files_only"],
             torch_dtype=self.torch_dtype,
         )
@@ -139,7 +140,6 @@ class ControlNet(DiffusionInpaintModel):
         self.controlnet_method = new_method
         controlnet = ControlNetModel.from_pretrained(
             new_method,
-            resume_download=True,
             local_files_only=self.local_files_only,
             torch_dtype=self.torch_dtype,
         ).to(self.model.device)