Fix huggingface-hub failing tests (#11994)

* login

* more logins

* uploads

* missed login

* another missed login

* downloads

* examples and more logins

* fix

* setup

* Apply style fixes

* fix

* Apply style fixes

examples/textual_inversion/textual_inversion_sdxl.py

@@ -593,7 +593,7 @@ def main():
     if args.report_to == "wandb" and args.hub_token is not None:
         raise ValueError(
             "You cannot use both --report_to=wandb and --hub_token due to a security risk of exposing your token."
-            " Please use `huggingface-cli login` to authenticate with the Hub."
+            " Please use `hf auth login` to authenticate with the Hub."
         )
 
     logging_dir = os.path.join(args.output_dir, args.logging_dir)

examples/unconditional_image_generation/README.md

@@ -151,7 +151,7 @@ dataset = load_dataset("imagefolder", data_files={"train": ["path/to/file1", "pa
 Next, push it to the hub!
 
 ```python
-# assuming you have ran the huggingface-cli login command in a terminal
+# assuming you have ran the hf auth login command in a terminal
 dataset.push_to_hub("name_of_your_dataset")
 
 # if you want to push to a private repo, simply pass private=True:

setup.py

@@ -102,7 +102,7 @@ _deps = [
     "filelock",
     "flax>=0.4.1",
     "hf-doc-builder>=0.3.0",
-    "huggingface-hub>=0.27.0",
+    "huggingface-hub>=0.34.0",
     "requests-mock==1.10.0",
     "importlib_metadata",
     "invisible-watermark>=0.2.0",

src/diffusers/configuration_utils.py

@@ -407,7 +407,7 @@ class ConfigMixin:
                 raise EnvironmentError(
                     f"{pretrained_model_name_or_path} is not a local folder and is not a valid model identifier"
                     " listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a"
-                    " token having permission to this repo with `token` or log in with `huggingface-cli login`."
+                    " token having permission to this repo with `token` or log in with `hf auth login`."
                 )
             except RevisionNotFoundError:
                 raise EnvironmentError(

src/diffusers/dependency_versions_table.py

@@ -9,7 +9,7 @@ deps = {
     "filelock": "filelock",
     "flax": "flax>=0.4.1",
     "hf-doc-builder": "hf-doc-builder>=0.3.0",
-    "huggingface-hub": "huggingface-hub>=0.27.0",
+    "huggingface-hub": "huggingface-hub>=0.34.0",
     "requests-mock": "requests-mock==1.10.0",
     "importlib_metadata": "importlib_metadata",
     "invisible-watermark": "invisible-watermark>=0.2.0",

src/diffusers/guiders/guider_utils.py

@@ -249,8 +249,8 @@ class BaseGuidance(ConfigMixin, PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`. You can also activate the special
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login`. You can also activate the special
         ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
         firewalled environment.
 

src/diffusers/models/auto_model.py

@@ -117,8 +117,8 @@ class AutoModel(ConfigMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`. You can also activate the special
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login`. You can also activate the special
         ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
         firewalled environment.
 

src/diffusers/models/modeling_flax_utils.py

@@ -369,8 +369,7 @@ class FlaxModelMixin(PushToHubMixin):
                 raise EnvironmentError(
                     f"{pretrained_model_name_or_path} is not a local folder and is not a valid model identifier "
                     "listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a "
-                    "token having permission to this repo with `token` or log in with `huggingface-cli "
-                    "login`."
+                    "token having permission to this repo with `token` or log in with `hf auth login`."
                 )
             except RevisionNotFoundError:
                 raise EnvironmentError(

src/diffusers/models/modeling_utils.py

@@ -943,8 +943,8 @@ class ModelMixin(torch.nn.Module, PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`. You can also activate the special
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login`. You can also activate the special
         ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
         firewalled environment.
 

src/diffusers/pipelines/README.md

@@ -86,7 +86,7 @@ logic including pre-processing, an unrolled diffusion loop, and post-processing
 ### Text-to-Image generation with Stable Diffusion
 
 ```python
-# make sure you're logged in with `huggingface-cli login`
+# make sure you're logged in with `hf auth login`
 from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler
 
 pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")

src/diffusers/pipelines/auto_pipeline.py

@@ -392,8 +392,8 @@ class AutoPipelineForText2Image(ConfigMixin):
 
         <Tip>
 
-        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `hf
+        auth login`.
 
         </Tip>
 
@@ -687,8 +687,8 @@ class AutoPipelineForImage2Image(ConfigMixin):
 
         <Tip>
 
-        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `hf
+        auth login`.
 
         </Tip>
 
@@ -997,8 +997,8 @@ class AutoPipelineForInpainting(ConfigMixin):
 
         <Tip>
 
-        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `hf
+        auth login`.
 
         </Tip>
 

src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py

@@ -717,7 +717,7 @@ class CycleDiffusionPipeline(DiffusionPipeline, TextualInversionLoaderMixin, Sta
         from diffusers import CycleDiffusionPipeline, DDIMScheduler
 
         # load the pipeline
-        # make sure you're logged in with `huggingface-cli login`
+        # make sure you're logged in with `hf auth login`
         model_id_or_path = "CompVis/stable-diffusion-v1-4"
         scheduler = DDIMScheduler.from_pretrained(model_id_or_path, subfolder="scheduler")
         pipe = CycleDiffusionPipeline.from_pretrained(model_id_or_path, scheduler=scheduler).to("cuda")

src/diffusers/pipelines/pipeline_flax_utils.py

@@ -278,8 +278,8 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`.
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login`.
 
         </Tip>
 

src/diffusers/pipelines/pipeline_utils.py

@@ -710,8 +710,8 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with `hf
+        auth login`.
 
         </Tip>
 
@@ -1430,8 +1430,8 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`.
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login
 
         </Tip>
 

src/diffusers/pipelines/stable_diffusion/README.md

@@ -28,7 +28,7 @@ download the weights with `git lfs install; git clone https://huggingface.co/sta
 
 ### Using Stable Diffusion without being logged into the Hub.
 
-If you want to download the model weights using a single Python line, you need to be logged in via `huggingface-cli login`.
+If you want to download the model weights using a single Python line, you need to be logged in via `hf auth login`.
 
 ```python
 from diffusers import DiffusionPipeline
@@ -54,7 +54,7 @@ pipe = StableDiffusionPipeline.from_pretrained("./stable-diffusion-v1-5")
 ### Text-to-Image with default PLMS scheduler
 
 ```python
-# make sure you're logged in with `huggingface-cli login`
+# make sure you're logged in with `hf auth login`
 from diffusers import StableDiffusionPipeline
 
 pipe = StableDiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5")
@@ -69,7 +69,7 @@ image.save("astronaut_rides_horse.png")
 ### Text-to-Image with DDIM scheduler
 
 ```python
-# make sure you're logged in with `huggingface-cli login`
+# make sure you're logged in with `hf auth login`
 from diffusers import StableDiffusionPipeline, DDIMScheduler
 
 scheduler =  DDIMScheduler.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="scheduler")
@@ -88,7 +88,7 @@ image.save("astronaut_rides_horse.png")
 ### Text-to-Image with K-LMS scheduler
 
 ```python
-# make sure you're logged in with `huggingface-cli login`
+# make sure you're logged in with `hf auth login`
 from diffusers import StableDiffusionPipeline, LMSDiscreteScheduler
 
 lms = LMSDiscreteScheduler.from_pretrained("CompVis/stable-diffusion-v1-4", subfolder="scheduler")
@@ -118,7 +118,7 @@ from diffusers import CycleDiffusionPipeline, DDIMScheduler
 # load the scheduler. CycleDiffusion only supports stochastic schedulers.
 
 # load the pipeline
-# make sure you're logged in with `huggingface-cli login`
+# make sure you're logged in with `hf auth login`
 model_id_or_path = "CompVis/stable-diffusion-v1-4"
 scheduler = DDIMScheduler.from_pretrained(model_id_or_path, subfolder="scheduler")
 pipe = CycleDiffusionPipeline.from_pretrained(model_id_or_path, scheduler=scheduler).to("cuda")

src/diffusers/schedulers/scheduling_utils.py

@@ -140,8 +140,8 @@ class SchedulerMixin(PushToHubMixin):
 
         <Tip>
 
-        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with
-        `huggingface-cli login`. You can also activate the special
+        To use private or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models), log-in with `hf
+        auth login`. You can also activate the special
         ["offline-mode"](https://huggingface.co/diffusers/installation.html#offline-mode) to use this method in a
         firewalled environment.
 

src/diffusers/schedulers/scheduling_utils_flax.py

@@ -120,7 +120,7 @@ class FlaxSchedulerMixin(PushToHubMixin):
 
         <Tip>
 
-         It is required to be logged in (`huggingface-cli login`) when you want to use private or [gated
+         It is required to be logged in (`hf auth login`) when you want to use private or [gated
          models](https://huggingface.co/docs/hub/models-gated#gated-models).
 
         </Tip>

src/diffusers/utils/dynamic_modules_utils.py

@@ -318,8 +318,8 @@ def get_cached_module_file(
 
     <Tip>
 
-    You may pass a token in `token` if you are not logged in (`huggingface-cli login`) and want to use private or
-    [gated models](https://huggingface.co/docs/hub/models-gated#gated-models).
+    You may pass a token in `token` if you are not logged in (`hf auth login`) and want to use private or [gated
+    models](https://huggingface.co/docs/hub/models-gated#gated-models).
 
     </Tip>
 
@@ -505,8 +505,8 @@ def get_class_from_dynamic_module(
 
     <Tip>
 
-    You may pass a token in `token` if you are not logged in (`huggingface-cli login`) and want to use private or
-    [gated models](https://huggingface.co/docs/hub/models-gated#gated-models).
+    You may pass a token in `token` if you are not logged in (`hf auth login`) and want to use private or [gated
+    models](https://huggingface.co/docs/hub/models-gated#gated-models).
 
     </Tip>
 

src/diffusers/utils/hub_utils.py

@@ -304,8 +304,7 @@ def _get_model_file(
             raise EnvironmentError(
                 f"{pretrained_model_name_or_path} is not a local folder and is not a valid model identifier "
                 "listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a "
-                "token having permission to this repo with `token` or log in with `huggingface-cli "
-                "login`."
+                "token having permission to this repo with `token` or log in with `hf auth login`."
             ) from e
         except RevisionNotFoundError as e:
             raise EnvironmentError(
@@ -515,8 +514,8 @@ class PushToHubMixin:
                 Whether to make the repo private. If `None` (default), the repo will be public unless the
                 organization's default is private. This value is ignored if the repo already exists.
             token (`str`, *optional*):
-                The token to use as HTTP bearer authorization for remote files. The token generated when running
-                `huggingface-cli login` (stored in `~/.huggingface`).
+                The token to use as HTTP bearer authorization for remote files. The token generated when running `hf
+                auth login` (stored in `~/.huggingface`).
             create_pr (`bool`, *optional*, defaults to `False`):
                 Whether or not to create a PR with the uploaded files or directly commit.
             safe_serialization (`bool`, *optional*, defaults to `True`):