[Core] remove resume_download from Hub related stuff

examples/community/checkpoint_merger.py

@@ -71,7 +71,7 @@ def merge(self, pretrained_model_name_or_path_list: List[Union[str, os.PathLike]
             **kwargs:
                 Supports all the default DiffusionPipeline.get_config_dict kwargs viz..
 
-                cache_dir, resume_download, force_download, proxies, local_files_only, token, revision, torch_dtype, device_map.
+                cache_dir, force_download, proxies, local_files_only, token, revision, torch_dtype, device_map.
 
                 alpha - The interpolation parameter. Ranges from 0 to 1.  It affects the ratio in which the checkpoints are merged. A 0.8 alpha
                     would mean that the first model checkpoints would affect the final result far less than an alpha of 0.2
@@ -86,7 +86,6 @@ def merge(self, pretrained_model_name_or_path_list: List[Union[str, os.PathLike]
         """
         # Default kwargs from DiffusionPipeline
         cache_dir = kwargs.pop("cache_dir", None)
-        resume_download = kwargs.pop("resume_download", False)
         force_download = kwargs.pop("force_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", False)
@@ -124,7 +123,6 @@ def merge(self, pretrained_model_name_or_path_list: List[Union[str, os.PathLike]
             config_dict = DiffusionPipeline.load_config(
                 pretrained_model_name_or_path,
                 cache_dir=cache_dir,
-                resume_download=resume_download,
                 force_download=force_download,
                 proxies=proxies,
                 local_files_only=local_files_only,
@@ -160,7 +158,6 @@ def merge(self, pretrained_model_name_or_path_list: List[Union[str, os.PathLike]
                 else snapshot_download(
                     pretrained_model_name_or_path,
                     cache_dir=cache_dir,
-                    resume_download=resume_download,
                     proxies=proxies,
                     local_files_only=local_files_only,
                     token=token,

examples/community/ip_adapter_face_id.py

@@ -267,7 +267,6 @@ def __init__(
     def load_ip_adapter_face_id(self, pretrained_model_name_or_path_or_dict, weight_name, **kwargs):
         cache_dir = kwargs.pop("cache_dir", None)
         force_download = kwargs.pop("force_download", False)
-        resume_download = kwargs.pop("resume_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", None)
         token = kwargs.pop("token", None)
@@ -283,7 +282,6 @@ def load_ip_adapter_face_id(self, pretrained_model_name_or_path_or_dict, weight_
             weights_name=weight_name,
             cache_dir=cache_dir,
             force_download=force_download,
-            resume_download=resume_download,
             proxies=proxies,
             local_files_only=local_files_only,
             token=token,

examples/community/stable_diffusion_tensorrt_img2img.py

@@ -783,7 +783,6 @@ def __loadModels(self):
     @validate_hf_hub_args
     def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
         cache_dir = kwargs.pop("cache_dir", None)
-        resume_download = kwargs.pop("resume_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", False)
         token = kwargs.pop("token", None)
@@ -795,7 +794,6 @@ def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os
             else snapshot_download(
                 pretrained_model_name_or_path,
                 cache_dir=cache_dir,
-                resume_download=resume_download,
                 proxies=proxies,
                 local_files_only=local_files_only,
                 token=token,

examples/community/stable_diffusion_tensorrt_inpaint.py

@@ -783,7 +783,6 @@ def __loadModels(self):
     @validate_hf_hub_args
     def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
         cache_dir = kwargs.pop("cache_dir", None)
-        resume_download = kwargs.pop("resume_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", False)
         token = kwargs.pop("token", None)
@@ -795,7 +794,6 @@ def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os
             else snapshot_download(
                 pretrained_model_name_or_path,
                 cache_dir=cache_dir,
-                resume_download=resume_download,
                 proxies=proxies,
                 local_files_only=local_files_only,
                 token=token,

examples/community/stable_diffusion_tensorrt_txt2img.py

@@ -695,7 +695,6 @@ def __loadModels(self):
     @validate_hf_hub_args
     def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
         cache_dir = kwargs.pop("cache_dir", None)
-        resume_download = kwargs.pop("resume_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", False)
         token = kwargs.pop("token", None)
@@ -707,7 +706,6 @@ def set_cached_folder(cls, pretrained_model_name_or_path: Optional[Union[str, os
             else snapshot_download(
                 pretrained_model_name_or_path,
                 cache_dir=cache_dir,
-                resume_download=resume_download,
                 proxies=proxies,
                 local_files_only=local_files_only,
                 token=token,

src/diffusers/configuration_utils.py

@@ -310,9 +310,6 @@ def load_config(
             force_download (`bool`, *optional*, defaults to `False`):
                 Whether or not to force the (re-)download of the model weights and configuration files, overriding the
                 cached versions if they exist.
-            resume_download:
-                Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v1
-                of Diffusers.
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -343,7 +340,6 @@ def load_config(
         local_dir = kwargs.pop("local_dir", None)
         local_dir_use_symlinks = kwargs.pop("local_dir_use_symlinks", "auto")
         force_download = kwargs.pop("force_download", False)
-        resume_download = kwargs.pop("resume_download", None)
         proxies = kwargs.pop("proxies", None)
         token = kwargs.pop("token", None)
         local_files_only = kwargs.pop("local_files_only", False)
@@ -386,7 +382,6 @@ def load_config(
                     cache_dir=cache_dir,
                     force_download=force_download,
                     proxies=proxies,
-                    resume_download=resume_download,
                     local_files_only=local_files_only,
                     token=token,
                     user_agent=user_agent,

src/diffusers/loaders/ip_adapter.py

@@ -90,9 +90,7 @@ def load_ip_adapter(
             force_download (`bool`, *optional*, defaults to `False`):
                 Whether or not to force the (re-)download of the model weights and configuration files, overriding the
                 cached versions if they exist.
-            resume_download:
-                Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v1
-                of Diffusers.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -135,7 +133,6 @@ def load_ip_adapter(
         # Load the main state dict first.
         cache_dir = kwargs.pop("cache_dir", None)
         force_download = kwargs.pop("force_download", False)
-        resume_download = kwargs.pop("resume_download", None)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", None)
         token = kwargs.pop("token", None)
@@ -171,7 +168,6 @@ def load_ip_adapter(
                     weights_name=weight_name,
                     cache_dir=cache_dir,
                     force_download=force_download,
-                    resume_download=resume_download,
                     proxies=proxies,
                     local_files_only=local_files_only,
                     token=token,

src/diffusers/loaders/lora.py

@@ -170,9 +170,7 @@ def lora_state_dict(
             force_download (`bool`, *optional*, defaults to `False`):
                 Whether or not to force the (re-)download of the model weights and configuration files, overriding the
                 cached versions if they exist.
-            resume_download:
-                Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v1
-                of Diffusers.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -194,7 +192,6 @@ def lora_state_dict(
         # UNet and text encoder or both.
         cache_dir = kwargs.pop("cache_dir", None)
         force_download = kwargs.pop("force_download", False)
-        resume_download = kwargs.pop("resume_download", None)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", None)
         token = kwargs.pop("token", None)
@@ -235,7 +232,6 @@ def lora_state_dict(
                         weights_name=weight_name or LORA_WEIGHT_NAME_SAFE,
                         cache_dir=cache_dir,
                         force_download=force_download,
-                        resume_download=resume_download,
                         proxies=proxies,
                         local_files_only=local_files_only,
                         token=token,
@@ -261,7 +257,6 @@ def lora_state_dict(
                     weights_name=weight_name or LORA_WEIGHT_NAME,
                     cache_dir=cache_dir,
                     force_download=force_download,
-                    resume_download=resume_download,
                     proxies=proxies,
                     local_files_only=local_files_only,
                     token=token,
@@ -1427,9 +1422,7 @@ def lora_state_dict(
             force_download (`bool`, *optional*, defaults to `False`):
                 Whether or not to force the (re-)download of the model weights and configuration files, overriding the
                 cached versions if they exist.
-            resume_download (`bool`, *optional*, defaults to `False`):
-                Whether or not to resume downloading the model weights and configuration files. If set to `False`, any
-                incompletely downloaded files are deleted.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -1450,7 +1443,6 @@ def lora_state_dict(
         # UNet and text encoder or both.
         cache_dir = kwargs.pop("cache_dir", None)
         force_download = kwargs.pop("force_download", False)
-        resume_download = kwargs.pop("resume_download", False)
         proxies = kwargs.pop("proxies", None)
         local_files_only = kwargs.pop("local_files_only", None)
         token = kwargs.pop("token", None)
@@ -1481,7 +1473,6 @@ def lora_state_dict(
                         weights_name=weight_name or LORA_WEIGHT_NAME_SAFE,
                         cache_dir=cache_dir,
                         force_download=force_download,
-                        resume_download=resume_download,
                         proxies=proxies,
                         local_files_only=local_files_only,
                         token=token,
@@ -1503,7 +1494,6 @@ def lora_state_dict(
                     weights_name=weight_name or LORA_WEIGHT_NAME,
                     cache_dir=cache_dir,
                     force_download=force_download,
-                    resume_download=resume_download,
                     proxies=proxies,
                     local_files_only=local_files_only,
                     token=token,

src/diffusers/loaders/single_file.py

@@ -242,7 +242,6 @@ def _download_diffusers_model_config_from_hub(
     revision,
     proxies,
     force_download=None,
-    resume_download=None,
     local_files_only=None,
     token=None,
 ):
@@ -253,7 +252,6 @@ def _download_diffusers_model_config_from_hub(
         revision=revision,
         proxies=proxies,
         force_download=force_download,
-        resume_download=resume_download,
         local_files_only=local_files_only,
         token=token,
         allow_patterns=allow_patterns,
@@ -288,9 +286,7 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
             cache_dir (`Union[str, os.PathLike]`, *optional*):
                 Path to a directory where a downloaded pretrained model configuration is cached if the standard cache
                 is not used.
-            resume_download:
-                Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v1
-                of Diffusers.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -352,7 +348,6 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
             deprecate("original_config_file", "1.0.0", deprecation_message)
             original_config = original_config_file
 
-        resume_download = kwargs.pop("resume_download", None)
         force_download = kwargs.pop("force_download", False)
         proxies = kwargs.pop("proxies", None)
         token = kwargs.pop("token", None)
@@ -382,7 +377,6 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
 
         checkpoint = load_single_file_checkpoint(
             pretrained_model_link_or_path,
-            resume_download=resume_download,
             force_download=force_download,
             proxies=proxies,
             token=token,
@@ -412,7 +406,6 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
                     revision=revision,
                     proxies=proxies,
                     force_download=force_download,
-                    resume_download=resume_download,
                     local_files_only=local_files_only,
                     token=token,
                 )
@@ -435,7 +428,6 @@ def from_single_file(cls, pretrained_model_link_or_path, **kwargs):
                         revision=revision,
                         proxies=proxies,
                         force_download=force_download,
-                        resume_download=resume_download,
                         local_files_only=False,
                         token=token,
                     )

src/diffusers/loaders/single_file_model.py

@@ -137,9 +137,7 @@ def from_single_file(cls, pretrained_model_link_or_path_or_dict: Optional[str] =
             cache_dir (`Union[str, os.PathLike]`, *optional*):
                 Path to a directory where a downloaded pretrained model configuration is cached if the standard cache
                 is not used.
-            resume_download (`bool`, *optional*, defaults to `False`):
-                Whether or not to resume downloading the model weights and configuration files. If set to `False`, any
-                incompletely downloaded files are deleted.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.
@@ -188,7 +186,6 @@ def from_single_file(cls, pretrained_model_link_or_path_or_dict: Optional[str] =
                 "`from_single_file` cannot accept both `config` and `original_config` arguments. Please provide only one of these arguments"
             )
 
-        resume_download = kwargs.pop("resume_download", None)
         force_download = kwargs.pop("force_download", False)
         proxies = kwargs.pop("proxies", None)
         token = kwargs.pop("token", None)
@@ -203,7 +200,6 @@ def from_single_file(cls, pretrained_model_link_or_path_or_dict: Optional[str] =
         else:
             checkpoint = load_single_file_checkpoint(
                 pretrained_model_link_or_path_or_dict,
-                resume_download=resume_download,
                 force_download=force_download,
                 proxies=proxies,
                 token=token,

src/diffusers/loaders/single_file_utils.py

@@ -313,7 +313,6 @@ def _is_model_weights_in_cached_folder(cached_folder, name):
 
 def load_single_file_checkpoint(
     pretrained_model_link_or_path,
-    resume_download=False,
     force_download=False,
     proxies=None,
     token=None,
@@ -331,7 +330,6 @@ def load_single_file_checkpoint(
             weights_name=weights_name,
             force_download=force_download,
             cache_dir=cache_dir,
-            resume_download=resume_download,
             proxies=proxies,
             local_files_only=local_files_only,
             token=token,

src/diffusers/loaders/textual_inversion.py

@@ -38,7 +38,6 @@
 def load_textual_inversion_state_dicts(pretrained_model_name_or_paths, **kwargs):
     cache_dir = kwargs.pop("cache_dir", None)
     force_download = kwargs.pop("force_download", False)
-    resume_download = kwargs.pop("resume_download", None)
     proxies = kwargs.pop("proxies", None)
     local_files_only = kwargs.pop("local_files_only", None)
     token = kwargs.pop("token", None)
@@ -72,7 +71,6 @@ def load_textual_inversion_state_dicts(pretrained_model_name_or_paths, **kwargs)
                         weights_name=weight_name or TEXT_INVERSION_NAME_SAFE,
                         cache_dir=cache_dir,
                         force_download=force_download,
-                        resume_download=resume_download,
                         proxies=proxies,
                         local_files_only=local_files_only,
                         token=token,
@@ -93,7 +91,6 @@ def load_textual_inversion_state_dicts(pretrained_model_name_or_paths, **kwargs)
                     weights_name=weight_name or TEXT_INVERSION_NAME,
                     cache_dir=cache_dir,
                     force_download=force_download,
-                    resume_download=resume_download,
                     proxies=proxies,
                     local_files_only=local_files_only,
                     token=token,
@@ -308,9 +305,7 @@ def load_textual_inversion(
             force_download (`bool`, *optional*, defaults to `False`):
                 Whether or not to force the (re-)download of the model weights and configuration files, overriding the
                 cached versions if they exist.
-            resume_download:
-                Deprecated and ignored. All downloads are now resumed by default when possible. Will be removed in v1
-                of Diffusers.
+
             proxies (`Dict[str, str]`, *optional*):
                 A dictionary of proxy servers to use by protocol or endpoint, for example, `{'http': 'foo.bar:3128',
                 'http://hostname': 'foo.bar:4012'}`. The proxies are used on each request.