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/research_projects/multi_token_textual_inversion/README.md

@@ -60,7 +60,7 @@ You have to be a registered user in 🤗 Hugging Face Hub, and you'll also need
 Run the following command to authenticate your token
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 If you have already cloned the repo, then you won't need to go through these steps.

examples/research_projects/multi_token_textual_inversion/textual_inversion.py

@@ -551,7 +551,7 @@ 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/research_projects/multi_token_textual_inversion/textual_inversion_flax.py

@@ -153,7 +153,7 @@ def parse_args():
         "--use_auth_token",
         action="store_true",
         help=(
-            "Will use the token generated when running `huggingface-cli login` (necessary to use this script with"
+            "Will use the token generated when running `hf auth login` (necessary to use this script with"
             " private models)."
         ),
     )

examples/research_projects/onnxruntime/text_to_image/README.md

@@ -41,7 +41,7 @@ You have to be a registered user in 🤗 Hugging Face Hub, and you'll also need
 Run the following command to authenticate your token
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 If you have already cloned the repo, then you won't need to go through these steps.

examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py

@@ -415,7 +415,7 @@ 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."
         )
 
     if args.non_ema_revision is not None:

examples/research_projects/onnxruntime/textual_inversion/README.md

@@ -46,7 +46,7 @@ You have to be a registered user in 🤗 Hugging Face Hub, and you'll also need
 Run the following command to authenticate your token
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 If you have already cloned the repo, then you won't need to go through these steps.

examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py

@@ -566,7 +566,7 @@ 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/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py

@@ -280,7 +280,7 @@ def main(args):
     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/research_projects/pixart/train_pixart_controlnet_hf.py

@@ -562,7 +562,7 @@ 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 = Path(args.output_dir, args.logging_dir)

examples/research_projects/pytorch_xla/inference/flux/README.md

@@ -40,7 +40,7 @@ cd examples/research_projects/pytorch_xla/inference/flux/
 As the model is gated, before using it with diffusers you first need to go to the [FLUX.1 [dev] Hugging Face page](https://huggingface.co/black-forest-labs/FLUX.1-dev), fill in the form and accept the gate. Once you are in, you need to log in so that your system knows you’ve accepted the gate. Use the command below to log in:
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 Then run:

examples/research_projects/pytorch_xla/training/text_to_image/README.md

@@ -80,7 +80,7 @@ pip3 install .'
 Run the following command to authenticate your token.
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 This script only trains the unet part of the network. The VAE and text encoder

examples/research_projects/realfill/train_realfill.py

@@ -535,7 +535,7 @@ def main(args):
     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 = Path(args.output_dir, args.logging_dir)

examples/research_projects/sana/README.md

@@ -19,7 +19,7 @@ mkdir -p $your_local_path # Create the directory if it doesn't exist
 Download the SANA Sprint teacher model from Hugging Face Hub. The script uses the 1.6B parameter model.
 
 ```bash
-huggingface-cli download Efficient-Large-Model/SANA_Sprint_1.6B_1024px_teacher_diffusers --local-dir $your_local_path/SANA_Sprint_1.6B_1024px_teacher_diffusers
+hf download Efficient-Large-Model/SANA_Sprint_1.6B_1024px_teacher_diffusers --local-dir $your_local_path/SANA_Sprint_1.6B_1024px_teacher_diffusers
 ```
 
 *(Optional: You can also download the 0.6B model by replacing the model name: `Efficient-Large-Model/Sana_Sprint_0.6B_1024px_teacher_diffusers`)*

examples/research_projects/sana/train_sana_sprint_diffusers.py

@@ -940,7 +940,7 @@ def main(args):
     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."
         )
 
     if torch.backends.mps.is_available() and args.mixed_precision == "bf16":

examples/research_projects/sana/train_sana_sprint_diffusers.sh

 your_local_path='output'
 
-huggingface-cli download Efficient-Large-Model/SANA_Sprint_1.6B_1024px_teacher_diffusers  --local-dir $your_local_path/SANA_Sprint_1.6B_1024px_teacher_diffusers
+hf download Efficient-Large-Model/SANA_Sprint_1.6B_1024px_teacher_diffusers  --local-dir $your_local_path/SANA_Sprint_1.6B_1024px_teacher_diffusers
 
 # or Sana_Sprint_0.6B_1024px_teacher_diffusers
 

examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py

@@ -854,7 +854,7 @@ def main(args):
     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 = Path(args.output_dir, args.logging_dir)

examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py

@@ -782,7 +782,7 @@ def main(args):
     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 = Path(args.output_dir, args.logging_dir)

examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py

@@ -1054,7 +1054,7 @@ def main(args):
     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."
         )
 
     if args.do_edm_style_training and args.snr_gamma is not None:

examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py

@@ -547,7 +547,7 @@ 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."
         )
 
     if args.non_ema_revision is not None:

examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py

@@ -442,7 +442,7 @@ 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 = Path(args.output_dir, args.logging_dir)