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/kandinsky2_2/text_to_image/train_text_to_image_decoder.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/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py

@@ -330,7 +330,7 @@ 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/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py

@@ -342,7 +342,7 @@ 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/kandinsky2_2/text_to_image/train_text_to_image_prior.py

@@ -445,7 +445,7 @@ 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/model_search/pipeline_easy.py

@@ -1249,7 +1249,7 @@ class EasyPipelineForText2Image(AutoPipelineForText2Image):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login`.
 
         </Tip>
 
@@ -1358,7 +1358,7 @@ class EasyPipelineForText2Image(AutoPipelineForText2Image):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login`.
 
         </Tip>
 
@@ -1507,7 +1507,7 @@ class EasyPipelineForImage2Image(AutoPipelineForImage2Image):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login`.
 
         </Tip>
 
@@ -1617,7 +1617,7 @@ class EasyPipelineForImage2Image(AutoPipelineForImage2Image):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login`.
 
         </Tip>
 
@@ -1766,7 +1766,7 @@ class EasyPipelineForInpainting(AutoPipelineForInpainting):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login
 
         </Tip>
 
@@ -1875,7 +1875,7 @@ class EasyPipelineForInpainting(AutoPipelineForInpainting):
         <Tip>
 
         To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with
-        `huggingface-cli login`.
+        `hf auth login
 
         </Tip>
 

examples/research_projects/autoencoderkl/train_autoencoderkl.py

@@ -568,7 +568,7 @@ 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/consistency_training/train_cm_ct_unconditional.py

@@ -789,7 +789,7 @@ 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."
         )
 
     accelerator_project_config = ProjectConfiguration(project_dir=args.output_dir, logging_dir=logging_dir)

examples/research_projects/controlnet/train_controlnet_webdataset.py

@@ -899,7 +899,7 @@ 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/diffusion_dpo/train_diffusion_dpo.py

@@ -470,7 +470,7 @@ 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/diffusion_dpo/train_diffusion_dpo_sdxl.py

@@ -512,7 +512,7 @@ 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/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py

@@ -502,7 +502,7 @@ 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/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py

@@ -609,7 +609,7 @@ 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/flux_lora_quantization/README.md

@@ -39,7 +39,7 @@ python compute_embeddings.py
 It should create a file named `embeddings.parquet`. We're then ready to launch training. First, authenticate so that you can access the Flux.1 Dev model: 
 
 ```bash
-huggingface-cli
+hf auth login
 ```
 
 Then launch:

examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py

@@ -587,7 +587,7 @@ 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/gligen/README.md

@@ -47,11 +47,11 @@ pip install git+https://github.com/xinyu1205/recognize-anything.git --no-deps
 Download the pre-trained model:
 
 ```bash
-huggingface-cli download --resume-download xinyu1205/recognize_anything_model ram_swin_large_14m.pth
-huggingface-cli download --resume-download IDEA-Research/grounding-dino-base
-huggingface-cli download --resume-download Salesforce/blip2-flan-t5-xxl
-huggingface-cli download --resume-download clip-vit-large-patch14
-huggingface-cli download --resume-download masterful/gligen-1-4-generation-text-box
+hf download --resume-download xinyu1205/recognize_anything_model ram_swin_large_14m.pth
+hf download --resume-download IDEA-Research/grounding-dino-base
+hf download --resume-download Salesforce/blip2-flan-t5-xxl
+hf download --resume-download clip-vit-large-patch14
+hf download --resume-download masterful/gligen-1-4-generation-text-box
 ```
 
 Make the training data on 8 GPUs:
@@ -66,7 +66,7 @@ torchrun --master_port 17673 --nproc_per_node=8 make_datasets.py \
 You can download the COCO training data from
 
 ```bash
-huggingface-cli download --resume-download Hzzone/GLIGEN_COCO coco_train2017.pth
+hf download --resume-download Hzzone/GLIGEN_COCO coco_train2017.pth
 ```
 
 It's in the format of
@@ -125,7 +125,7 @@ Note that although the pre-trained GLIGEN model has been loaded, the parameters
 The trained model can be downloaded from
 
 ```bash
-huggingface-cli download --resume-download Hzzone/GLIGEN_COCO config.json diffusion_pytorch_model.safetensors
+hf download --resume-download Hzzone/GLIGEN_COCO config.json diffusion_pytorch_model.safetensors
 ```
 
 You can run `demo.ipynb` to visualize the generated images.

examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py

@@ -488,7 +488,7 @@ 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/intel_opts/textual_inversion/textual_inversion_bf16.py

@@ -366,7 +366,7 @@ 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/lora/README.md

@@ -34,7 +34,7 @@ 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/research_projects/lora/train_text_to_image_lora.py

@@ -396,7 +396,7 @@ 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_subject_dreambooth/train_multi_subject_dreambooth.py

@@ -684,7 +684,7 @@ 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)