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/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py

@@ -537,7 +537,7 @@ 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/text_to_image/train_text_to_image_sdxl.py

@@ -630,7 +630,7 @@ 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/sd3_lora_colab/README.md

@@ -6,7 +6,7 @@ This is an **EDUCATIONAL** project that provides utilities for DreamBooth LoRA t
 > SD3 is gated, so you need to make sure you agree to [share your contact info](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers) to access the model before using it with Diffusers. Once you have access, you need to log in so your system knows you’re authorized. Use the command below to log in:
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 This will also allow us to push the trained model parameters to the Hugging Face Hub platform.

examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb

@@ -60,7 +60,7 @@
       },
       "outputs": [],
       "source": [
-        "!huggingface-cli login"
+        "!hf auth login"
       ]
     },
     {
@@ -2425,4 +2425,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 0
-}
+}
\ No newline at end of file

examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py

@@ -623,7 +623,7 @@ 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/wuerstchen/text_to_image/README.md

@@ -26,7 +26,7 @@ accelerate config
 ```
 For this example we want to directly store the trained LoRA embeddings on the Hub, so we need to be logged in and add the `--push_to_hub` flag to the training script. To log in, run:
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 ## Prior training

examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py

@@ -446,7 +446,7 @@ 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/wuerstchen/text_to_image/train_text_to_image_prior.py

@@ -444,7 +444,7 @@ 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/t2i_adapter/README_sdxl.md

@@ -58,7 +58,7 @@ wget https://huggingface.co/datasets/huggingface/documentation-images/resolve/ma
 wget https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/controlnet_training/conditioning_image_2.png
 ```
 
-Then run `huggingface-cli login` to log into your Hugging Face account. This is needed to be able to push the trained T2IAdapter parameters to Hugging Face Hub.
+Then run `hf auth login` to log into your Hugging Face account. This is needed to be able to push the trained T2IAdapter parameters to Hugging Face Hub.
 
 ```bash
 export MODEL_DIR="stabilityai/stable-diffusion-xl-base-1.0"

examples/t2i_adapter/train_t2i_adapter_sdxl.py

@@ -783,7 +783,7 @@ 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/text_to_image/README.md

@@ -43,7 +43,7 @@ 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.
@@ -215,7 +215,7 @@ For this example we want to directly store the trained LoRA embeddings on the Hu
 we need to be logged in and add the `--push_to_hub` flag.
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 Now we can start training!

examples/text_to_image/README_sdxl.md

@@ -156,7 +156,7 @@ For this example we want to directly store the trained LoRA embeddings on the Hu
 we need to be logged in and add the `--push_to_hub` flag.
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 Now we can start training!

examples/text_to_image/train_text_to_image.py

@@ -531,7 +531,7 @@ 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/text_to_image/train_text_to_image_flax.py

@@ -264,7 +264,7 @@ 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.basicConfig(

examples/text_to_image/train_text_to_image_lora.py

@@ -450,7 +450,7 @@ 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/text_to_image/train_text_to_image_lora_sdxl.py

@@ -555,7 +555,7 @@ 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/text_to_image/train_text_to_image_sdxl.py

@@ -601,7 +601,7 @@ 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/textual_inversion/README.md

@@ -41,7 +41,7 @@ accelerate config
 First, let's login so that we can upload the checkpoint to the Hub during training:
 
 ```bash
-huggingface-cli login
+hf auth login
 ```
 
 Now let's get our dataset. For this example we will use some cat images: https://huggingface.co/datasets/diffusers/cat_toy_example .

examples/textual_inversion/textual_inversion.py

@@ -594,7 +594,7 @@ 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/textual_inversion/textual_inversion_flax.py

@@ -166,7 +166,7 @@ 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)."
         ),
     )