diff --git a/benchmarks/README.md b/benchmarks/README.md index 574779bb50..afab1b0de3 100644 --- a/benchmarks/README.md +++ b/benchmarks/README.md @@ -31,7 +31,7 @@ pip install -r requirements.txt We need to be authenticated to access some of the checkpoints used during benchmarking: ```sh -huggingface-cli login +hf auth login ``` We use an L40 GPU with 128GB RAM to run the benchmark CI. As such, the benchmarks are configured to run on NVIDIA GPUs. So, make sure you have access to a similar machine (or modify the benchmarking scripts accordingly). diff --git a/docs/source/en/api/configuration.md b/docs/source/en/api/configuration.md index 46d9ede0c9..bc58e190b8 100644 --- a/docs/source/en/api/configuration.md +++ b/docs/source/en/api/configuration.md @@ -16,7 +16,7 @@ Schedulers from [`~schedulers.scheduling_utils.SchedulerMixin`] and models from -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`. diff --git a/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md b/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md index 9eb58a49d7..211b26889a 100644 --- a/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md +++ b/docs/source/en/api/pipelines/stable_diffusion/stable_diffusion_3.md @@ -31,7 +31,7 @@ _As the model is gated, before using it with diffusers you first need to go to t Use the command below to log in: ```bash -huggingface-cli login +hf auth login ``` diff --git a/docs/source/en/training/cogvideox.md b/docs/source/en/training/cogvideox.md index f277d56136..d0700c4da7 100644 --- a/docs/source/en/training/cogvideox.md +++ b/docs/source/en/training/cogvideox.md @@ -145,10 +145,10 @@ When running `accelerate config`, if you use torch.compile, there can be dramati If you would like to push your model to the Hub after training is completed with a neat model card, make sure you're logged in: ```bash -huggingface-cli login +hf auth login # Alternatively, you could upload your model manually using: -# huggingface-cli upload my-cool-account-name/my-cool-lora-name /path/to/awesome/lora +# hf upload my-cool-account-name/my-cool-lora-name /path/to/awesome/lora ``` Make sure your data is prepared as described in [Data Preparation](#data-preparation). When ready, you can begin training! diff --git a/docs/source/en/training/create_dataset.md b/docs/source/en/training/create_dataset.md index f3221beb40..8e0d6f9200 100644 --- a/docs/source/en/training/create_dataset.md +++ b/docs/source/en/training/create_dataset.md @@ -67,7 +67,7 @@ dataset = load_dataset( Then use the [`~datasets.Dataset.push_to_hub`] method to upload the dataset 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: diff --git a/docs/source/en/tutorials/basic_training.md b/docs/source/en/tutorials/basic_training.md index 1ed81dd672..9a35b3438f 100644 --- a/docs/source/en/tutorials/basic_training.md +++ b/docs/source/en/tutorials/basic_training.md @@ -42,7 +42,7 @@ We encourage you to share your model with the community, and in order to do that Or login in from the terminal: ```bash -huggingface-cli login +hf auth login ``` Since the model checkpoints are quite large, install [Git-LFS](https://git-lfs.com/) to version these large files: diff --git a/docs/source/ko/optimization/mps.md b/docs/source/ko/optimization/mps.md index 218c4790a5..4daeaf5dba 100644 --- a/docs/source/ko/optimization/mps.md +++ b/docs/source/ko/optimization/mps.md @@ -37,7 +37,7 @@ Diffusers는 Stable Diffusion 추론을 위해 PyTorch `mps`를 사용해 Apple ```python -# `huggingface-cli login`에 로그인되어 있음을 확인 +# `hf auth login`에 로그인되어 있음을 확인 from diffusers import DiffusionPipeline pipe = DiffusionPipeline.from_pretrained("stable-diffusion-v1-5/stable-diffusion-v1-5") diff --git a/docs/source/ko/training/create_dataset.md b/docs/source/ko/training/create_dataset.md index 401a73ebf2..a869cd09f0 100644 --- a/docs/source/ko/training/create_dataset.md +++ b/docs/source/ko/training/create_dataset.md @@ -75,7 +75,7 @@ dataset = load_dataset( [push_to_hub(https://huggingface.co/docs/datasets/v2.13.1/en/package_reference/main_classes#datasets.Dataset.push_to_hub) 을 사용해서 Hub에 데이터셋을 업로드 합니다: ```python -# 터미널에서 huggingface-cli login 커맨드를 이미 실행했다고 가정합니다 +# 터미널에서 hf auth login 커맨드를 이미 실행했다고 가정합니다 dataset.push_to_hub("name_of_your_dataset") # 개인 repo로 push 하고 싶다면, `private=True` 을 추가하세요: diff --git a/docs/source/ko/training/lora.md b/docs/source/ko/training/lora.md index 41ea8dbd46..5bcef27143 100644 --- a/docs/source/ko/training/lora.md +++ b/docs/source/ko/training/lora.md @@ -39,7 +39,7 @@ specific language governing permissions and limitations under the License. 모델을 저장하거나 커뮤니티와 공유하려면 Hugging Face 계정에 로그인하세요(아직 계정이 없는 경우 [생성](https://huggingface.co/join)하세요): ```bash -huggingface-cli login +hf auth login ``` ## Text-to-image diff --git a/docs/source/ko/tutorials/basic_training.md b/docs/source/ko/tutorials/basic_training.md index bb49771052..2c4c89edd1 100644 --- a/docs/source/ko/tutorials/basic_training.md +++ b/docs/source/ko/tutorials/basic_training.md @@ -42,7 +42,7 @@ Unconditional 이미지 생성은 학습에 사용된 데이터셋과 유사한 또는 터미널로 로그인할 수 있습니다: ```bash -huggingface-cli login +hf auth login ``` 모델 체크포인트가 상당히 크기 때문에 [Git-LFS](https://git-lfs.com/)에서 대용량 파일의 버전 관리를 할 수 있습니다. diff --git a/docs/source/ko/using-diffusers/other-formats.md b/docs/source/ko/using-diffusers/other-formats.md index 95b2485f61..3034551f48 100644 --- a/docs/source/ko/using-diffusers/other-formats.md +++ b/docs/source/ko/using-diffusers/other-formats.md @@ -42,7 +42,7 @@ Stable Diffusion 모델들은 학습 및 저장된 프레임워크와 다운로 시작하기 전에 스크립트를 실행할 🤗 Diffusers의 로컬 클론(clone)이 있는지 확인하고 Hugging Face 계정에 로그인하여 pull request를 열고 변환된 모델을 허브에 푸시할 수 있도록 하세요. ```bash -huggingface-cli login +hf auth login ``` 스크립트를 사용하려면: diff --git a/examples/advanced_diffusion_training/README.md b/examples/advanced_diffusion_training/README.md index eedb1c96e4..c9c3c1c508 100644 --- a/examples/advanced_diffusion_training/README.md +++ b/examples/advanced_diffusion_training/README.md @@ -69,7 +69,7 @@ Note also that we use PEFT library as backend for LoRA training, make sure to ha Lastly, we recommend logging into your HF account so that your trained LoRA is automatically uploaded to the hub: ```bash -huggingface-cli login +hf auth login ``` This command will prompt you for a token. Copy-paste yours from your [settings/tokens](https://huggingface.co/settings/tokens),and press Enter. diff --git a/examples/advanced_diffusion_training/README_flux.md b/examples/advanced_diffusion_training/README_flux.md index 62f9078949..65e59ba6e7 100644 --- a/examples/advanced_diffusion_training/README_flux.md +++ b/examples/advanced_diffusion_training/README_flux.md @@ -67,7 +67,7 @@ Note also that we use PEFT library as backend for LoRA training, make sure to ha Lastly, we recommend logging into your HF account so that your trained LoRA is automatically uploaded to the hub: ```bash -huggingface-cli login +hf auth login ``` This command will prompt you for a token. Copy-paste yours from your [settings/tokens](https://huggingface.co/settings/tokens),and press Enter. diff --git a/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py b/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py index 0b2e721b94..c18d4553ed 100644 --- a/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py +++ b/examples/advanced_diffusion_training/train_dreambooth_lora_flux_advanced.py @@ -1321,7 +1321,7 @@ 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": diff --git a/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py b/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py index 2c4682d62a..355a2bcce8 100644 --- a/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py +++ b/examples/advanced_diffusion_training/train_dreambooth_lora_sd15_advanced.py @@ -1050,7 +1050,7 @@ 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) diff --git a/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py b/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py index 7f88d1cbdd..a3d500615b 100644 --- a/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py +++ b/examples/advanced_diffusion_training/train_dreambooth_lora_sdxl_advanced.py @@ -1292,7 +1292,7 @@ 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: diff --git a/examples/cogvideo/README.md b/examples/cogvideo/README.md index dc74690983..ab0facc0a1 100644 --- a/examples/cogvideo/README.md +++ b/examples/cogvideo/README.md @@ -125,10 +125,10 @@ When running `accelerate config`, if we specify torch compile mode to True there If you would like to push your model to the HF Hub after training is completed with a neat model card, make sure you're logged in: ``` -huggingface-cli login +hf auth login # Alternatively, you could upload your model manually using: -# huggingface-cli upload my-cool-account-name/my-cool-lora-name /path/to/awesome/lora +# hf upload my-cool-account-name/my-cool-lora-name /path/to/awesome/lora ``` Make sure your data is prepared as described in [Data Preparation](#data-preparation). When ready, you can begin training! diff --git a/examples/cogvideo/train_cogvideox_image_to_video_lora.py b/examples/cogvideo/train_cogvideox_image_to_video_lora.py index 47245ed896..1ebc58b494 100644 --- a/examples/cogvideo/train_cogvideox_image_to_video_lora.py +++ b/examples/cogvideo/train_cogvideox_image_to_video_lora.py @@ -962,7 +962,7 @@ 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": diff --git a/examples/cogvideo/train_cogvideox_lora.py b/examples/cogvideo/train_cogvideox_lora.py index caa970d4bf..f6903fde0a 100644 --- a/examples/cogvideo/train_cogvideox_lora.py +++ b/examples/cogvideo/train_cogvideox_lora.py @@ -984,7 +984,7 @@ 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": diff --git a/examples/cogview4-control/README.md b/examples/cogview4-control/README.md index 746a99a1a4..c73c5ed3ca 100644 --- a/examples/cogview4-control/README.md +++ b/examples/cogview4-control/README.md @@ -10,7 +10,7 @@ To incorporate additional condition latents, we expand the input features of Cog > As the model is gated, before using it with diffusers you first need to go to the [CogView4 Hugging Face page](https://huggingface.co/THUDM/CogView4-6B), 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 ``` The example command below shows how to launch fine-tuning for pose conditions. The dataset ([`raulc0399/open_pose_controlnet`](https://huggingface.co/datasets/raulc0399/open_pose_controlnet)) being used here already has the pose conditions of the original images, so we don't have to compute them. diff --git a/examples/cogview4-control/train_control_cogview4.py b/examples/cogview4-control/train_control_cogview4.py index 9b2f22452b..93b33a189e 100644 --- a/examples/cogview4-control/train_control_cogview4.py +++ b/examples/cogview4-control/train_control_cogview4.py @@ -705,7 +705,7 @@ 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_out_dir = Path(args.output_dir, args.logging_dir) diff --git a/examples/community/README.md b/examples/community/README.md index e046b5367f..e4fbd79366 100644 --- a/examples/community/README.md +++ b/examples/community/README.md @@ -3129,7 +3129,7 @@ from io import BytesIO from diffusers import DiffusionPipeline # 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 = "stable-diffusion-v1-5/stable-diffusion-v1-5" # can also be used with dreamlike-art/dreamlike-photoreal-2.0 pipe = DiffusionPipeline.from_pretrained(model_id_or_path, torch_dtype=torch.float16, custom_pipeline="pipeline_fabric").to("cuda") diff --git a/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py b/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py index bedd64da74..5822967d05 100644 --- a/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py +++ b/examples/consistency_distillation/train_lcm_distill_lora_sd_wds.py @@ -877,7 +877,7 @@ 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) diff --git a/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py b/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py index 113a374c12..e7f64ef14d 100644 --- a/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py +++ b/examples/consistency_distillation/train_lcm_distill_lora_sdxl.py @@ -709,7 +709,7 @@ 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) diff --git a/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py b/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py index cd50ff176c..4b79a59134 100644 --- a/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py +++ b/examples/consistency_distillation/train_lcm_distill_lora_sdxl_wds.py @@ -872,7 +872,7 @@ 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) diff --git a/examples/consistency_distillation/train_lcm_distill_sd_wds.py b/examples/consistency_distillation/train_lcm_distill_sd_wds.py index e223b71aea..057b86eaaa 100644 --- a/examples/consistency_distillation/train_lcm_distill_sd_wds.py +++ b/examples/consistency_distillation/train_lcm_distill_sd_wds.py @@ -842,7 +842,7 @@ 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) diff --git a/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py b/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py index 20d5c59cc1..09982f0546 100644 --- a/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py +++ b/examples/consistency_distillation/train_lcm_distill_sdxl_wds.py @@ -882,7 +882,7 @@ 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) diff --git a/examples/controlnet/README.md b/examples/controlnet/README.md index 3b223c8c46..9976761739 100644 --- a/examples/controlnet/README.md +++ b/examples/controlnet/README.md @@ -359,7 +359,7 @@ wget https://huggingface.co/datasets/huggingface/documentation-images/resolve/ma We encourage you to store or share your model with the community. To use huggingface hub, please login to your Hugging Face account, or ([create one](https://huggingface.co/docs/diffusers/main/en/training/hf.co/join) if you don’t have one already): ```sh -huggingface-cli login +hf auth login ``` Make sure you have the `MODEL_DIR`,`OUTPUT_DIR` and `HUB_MODEL_ID` environment variables set. The `OUTPUT_DIR` and `HUB_MODEL_ID` variables specify where to save the model to on the Hub: diff --git a/examples/controlnet/README_flux.md b/examples/controlnet/README_flux.md index fcac6df110..fefe0148a5 100644 --- a/examples/controlnet/README_flux.md +++ b/examples/controlnet/README_flux.md @@ -22,7 +22,7 @@ Here is a gpu memory consumption for reference, tested on a single A100 with 80G > **Gated access** > -> 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: `huggingface-cli login` +> 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: `hf auth login` ## Running locally with PyTorch @@ -88,7 +88,7 @@ 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 ControlNet 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 ControlNet parameters to Hugging Face Hub. we can define the num_layers, num_single_layers, which determines the size of the control(default values are num_layers=4, num_single_layers=10) diff --git a/examples/controlnet/README_sd3.md b/examples/controlnet/README_sd3.md index b62e33362d..9c2d6aaac3 100644 --- a/examples/controlnet/README_sd3.md +++ b/examples/controlnet/README_sd3.md @@ -56,7 +56,7 @@ First download the SD3 model from [Hugging Face Hub](https://huggingface.co/stab > As the model is gated, before using it with diffusers you first need to go to the [Stable Diffusion 3 Medium Hugging Face page](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers) or [Stable Diffusion 3.5 Large Hugging Face page](https://huggingface.co/stabilityai/stable-diffusion-3.5-medium), 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 ``` This will also allow us to push the trained model parameters to the Hugging Face Hub platform. diff --git a/examples/controlnet/README_sdxl.md b/examples/controlnet/README_sdxl.md index 75511385ff..442cfd386a 100644 --- a/examples/controlnet/README_sdxl.md +++ b/examples/controlnet/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 ControlNet 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 ControlNet parameters to Hugging Face Hub. ```bash export MODEL_DIR="stabilityai/stable-diffusion-xl-base-1.0" diff --git a/examples/controlnet/train_controlnet.py b/examples/controlnet/train_controlnet.py index 1ddbe5c56a..c9be7a7f92 100644 --- a/examples/controlnet/train_controlnet.py +++ b/examples/controlnet/train_controlnet.py @@ -734,7 +734,7 @@ 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) diff --git a/examples/controlnet/train_controlnet_flax.py b/examples/controlnet/train_controlnet_flax.py index 90fe426b49..2c08ffc49a 100644 --- a/examples/controlnet/train_controlnet_flax.py +++ b/examples/controlnet/train_controlnet_flax.py @@ -665,7 +665,7 @@ 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( diff --git a/examples/controlnet/train_controlnet_flux.py b/examples/controlnet/train_controlnet_flux.py index cde1c4d0be..d281668e11 100644 --- a/examples/controlnet/train_controlnet_flux.py +++ b/examples/controlnet/train_controlnet_flux.py @@ -814,7 +814,7 @@ 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_out_dir = Path(args.output_dir, args.logging_dir) diff --git a/examples/controlnet/train_controlnet_sd3.py b/examples/controlnet/train_controlnet_sd3.py index 592e5d7766..033c9d7f26 100644 --- a/examples/controlnet/train_controlnet_sd3.py +++ b/examples/controlnet/train_controlnet_sd3.py @@ -928,7 +928,7 @@ 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": diff --git a/examples/controlnet/train_controlnet_sdxl.py b/examples/controlnet/train_controlnet_sdxl.py index 03296a81f0..3d182f8f4c 100644 --- a/examples/controlnet/train_controlnet_sdxl.py +++ b/examples/controlnet/train_controlnet_sdxl.py @@ -829,7 +829,7 @@ 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) diff --git a/examples/custom_diffusion/train_custom_diffusion.py b/examples/custom_diffusion/train_custom_diffusion.py index 83ea952299..ce4fec0a12 100644 --- a/examples/custom_diffusion/train_custom_diffusion.py +++ b/examples/custom_diffusion/train_custom_diffusion.py @@ -663,7 +663,7 @@ 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) diff --git a/examples/dreambooth/README.md b/examples/dreambooth/README.md index f0697609b3..c6c119ff97 100644 --- a/examples/dreambooth/README.md +++ b/examples/dreambooth/README.md @@ -330,7 +330,7 @@ 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! diff --git a/examples/dreambooth/README_flux.md b/examples/dreambooth/README_flux.md index 18273746c2..242f018b65 100644 --- a/examples/dreambooth/README_flux.md +++ b/examples/dreambooth/README_flux.md @@ -19,7 +19,7 @@ The `train_dreambooth_flux.py` script shows how to implement the training proced > 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 ``` This will also allow us to push the trained model parameters to the Hugging Face Hub platform. diff --git a/examples/dreambooth/README_hidream.md b/examples/dreambooth/README_hidream.md index 2c6b68f3f6..58df99d9f6 100644 --- a/examples/dreambooth/README_hidream.md +++ b/examples/dreambooth/README_hidream.md @@ -95,7 +95,7 @@ accelerate launch train_dreambooth_lora_hidream.py \ For using `push_to_hub`, make you're logged into your Hugging Face account: ```bash -huggingface-cli login +hf auth login ``` To better track our training experiments, we're using the following flags in the command above: diff --git a/examples/dreambooth/README_lumina2.md b/examples/dreambooth/README_lumina2.md index f691acd266..d8998ccbed 100644 --- a/examples/dreambooth/README_lumina2.md +++ b/examples/dreambooth/README_lumina2.md @@ -101,7 +101,7 @@ accelerate launch train_dreambooth_lora_lumina2.py \ For using `push_to_hub`, make you're logged into your Hugging Face account: ```bash -huggingface-cli login +hf auth login ``` To better track our training experiments, we're using the following flags in the command above: diff --git a/examples/dreambooth/README_sana.md b/examples/dreambooth/README_sana.md index 1cc189149b..7972434b5e 100644 --- a/examples/dreambooth/README_sana.md +++ b/examples/dreambooth/README_sana.md @@ -101,7 +101,7 @@ accelerate launch train_dreambooth_lora_sana.py \ For using `push_to_hub`, make you're logged into your Hugging Face account: ```bash -huggingface-cli login +hf auth login ``` To better track our training experiments, we're using the following flags in the command above: diff --git a/examples/dreambooth/README_sd3.md b/examples/dreambooth/README_sd3.md index 5b706930e9..91d540a446 100644 --- a/examples/dreambooth/README_sd3.md +++ b/examples/dreambooth/README_sd3.md @@ -8,7 +8,7 @@ The `train_dreambooth_sd3.py` script shows how to implement the training procedu > As the model is gated, before using it with diffusers you first need to go to the [Stable Diffusion 3 Medium Hugging Face page](https://huggingface.co/stabilityai/stable-diffusion-3-medium-diffusers), 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 ``` This will also allow us to push the trained model parameters to the Hugging Face Hub platform. diff --git a/examples/dreambooth/train_dreambooth.py b/examples/dreambooth/train_dreambooth.py index 15f59569b8..1807e9bd80 100644 --- a/examples/dreambooth/train_dreambooth.py +++ b/examples/dreambooth/train_dreambooth.py @@ -807,7 +807,7 @@ 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) diff --git a/examples/dreambooth/train_dreambooth_flux.py b/examples/dreambooth/train_dreambooth_flux.py index c575cf654e..1a2b60c5d5 100644 --- a/examples/dreambooth/train_dreambooth_flux.py +++ b/examples/dreambooth/train_dreambooth_flux.py @@ -1013,7 +1013,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora.py b/examples/dreambooth/train_dreambooth_lora.py index d882bac0e7..aaf61f9813 100644 --- a/examples/dreambooth/train_dreambooth_lora.py +++ b/examples/dreambooth/train_dreambooth_lora.py @@ -756,7 +756,7 @@ 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) diff --git a/examples/dreambooth/train_dreambooth_lora_flux.py b/examples/dreambooth/train_dreambooth_lora_flux.py index e5bade0b7e..73ac6af50c 100644 --- a/examples/dreambooth/train_dreambooth_lora_flux.py +++ b/examples/dreambooth/train_dreambooth_lora_flux.py @@ -1051,7 +1051,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_flux_kontext.py b/examples/dreambooth/train_dreambooth_lora_flux_kontext.py index 984e0c50c3..38896728fa 100644 --- a/examples/dreambooth/train_dreambooth_lora_flux_kontext.py +++ b/examples/dreambooth/train_dreambooth_lora_flux_kontext.py @@ -1199,7 +1199,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_hidream.py b/examples/dreambooth/train_dreambooth_lora_hidream.py index 4fa0c906b5..199a8a68ea 100644 --- a/examples/dreambooth/train_dreambooth_lora_hidream.py +++ b/examples/dreambooth/train_dreambooth_lora_hidream.py @@ -936,7 +936,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_lumina2.py b/examples/dreambooth/train_dreambooth_lora_lumina2.py index 5128e87166..ee84de66d2 100644 --- a/examples/dreambooth/train_dreambooth_lora_lumina2.py +++ b/examples/dreambooth/train_dreambooth_lora_lumina2.py @@ -859,7 +859,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_sana.py b/examples/dreambooth/train_dreambooth_lora_sana.py index d84a532a15..14e922dc20 100644 --- a/examples/dreambooth/train_dreambooth_lora_sana.py +++ b/examples/dreambooth/train_dreambooth_lora_sana.py @@ -852,7 +852,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_sd3.py b/examples/dreambooth/train_dreambooth_lora_sd3.py index c049f9b482..5ab21df518 100644 --- a/examples/dreambooth/train_dreambooth_lora_sd3.py +++ b/examples/dreambooth/train_dreambooth_lora_sd3.py @@ -1063,7 +1063,7 @@ 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": diff --git a/examples/dreambooth/train_dreambooth_lora_sdxl.py b/examples/dreambooth/train_dreambooth_lora_sdxl.py index 12f8ab3602..5758db8508 100644 --- a/examples/dreambooth/train_dreambooth_lora_sdxl.py +++ b/examples/dreambooth/train_dreambooth_lora_sdxl.py @@ -983,7 +983,7 @@ 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: diff --git a/examples/dreambooth/train_dreambooth_sd3.py b/examples/dreambooth/train_dreambooth_sd3.py index e96e4844cc..b130b9ff21 100644 --- a/examples/dreambooth/train_dreambooth_sd3.py +++ b/examples/dreambooth/train_dreambooth_sd3.py @@ -988,7 +988,7 @@ 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": diff --git a/examples/flux-control/README.md b/examples/flux-control/README.md index 14afa499db..5463fc1552 100644 --- a/examples/flux-control/README.md +++ b/examples/flux-control/README.md @@ -13,7 +13,7 @@ To incorporate additional condition latents, we expand the input features of Flu > 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 ``` The example command below shows how to launch fine-tuning for pose conditions. The dataset ([`raulc0399/open_pose_controlnet`](https://huggingface.co/datasets/raulc0399/open_pose_controlnet)) being used here already has the pose conditions of the original images, so we don't have to compute them. diff --git a/examples/flux-control/train_control_flux.py b/examples/flux-control/train_control_flux.py index bce1c6626b..63cb770ccd 100644 --- a/examples/flux-control/train_control_flux.py +++ b/examples/flux-control/train_control_flux.py @@ -697,7 +697,7 @@ 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_out_dir = Path(args.output_dir, args.logging_dir) diff --git a/examples/flux-control/train_control_lora_flux.py b/examples/flux-control/train_control_lora_flux.py index 53ee0f89e2..2990d5701a 100644 --- a/examples/flux-control/train_control_lora_flux.py +++ b/examples/flux-control/train_control_lora_flux.py @@ -725,7 +725,7 @@ 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.use_lora_bias and args.gaussian_init_lora: raise ValueError("`gaussian` LoRA init scheme isn't supported when `use_lora_bias` is True.") diff --git a/examples/instruct_pix2pix/train_instruct_pix2pix.py b/examples/instruct_pix2pix/train_instruct_pix2pix.py index 62ee176101..b6b29fce27 100644 --- a/examples/instruct_pix2pix/train_instruct_pix2pix.py +++ b/examples/instruct_pix2pix/train_instruct_pix2pix.py @@ -430,7 +430,7 @@ 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: diff --git a/examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py b/examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py index 74735c94ec..ef55321f58 100644 --- a/examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py +++ b/examples/instruct_pix2pix/train_instruct_pix2pix_sdxl.py @@ -483,7 +483,7 @@ 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: diff --git a/examples/kandinsky2_2/text_to_image/README.md b/examples/kandinsky2_2/text_to_image/README.md index c14e02f6d0..c6afca8689 100644 --- a/examples/kandinsky2_2/text_to_image/README.md +++ b/examples/kandinsky2_2/text_to_image/README.md @@ -41,7 +41,7 @@ For all our examples, we will directly store the trained weights on the Hub, so Run the following command to authenticate your token ```bash -huggingface-cli login +hf auth login ``` We also use [Weights and Biases](https://docs.wandb.ai/quickstart) logging by default, because it is really useful to monitor the training progress by regularly generating sample images during training. To install wandb, run diff --git a/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py b/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py index acc305384b..56a8136ab2 100644 --- a/examples/kandinsky2_2/text_to_image/train_text_to_image_decoder.py +++ b/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) diff --git a/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py b/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py index 15b215ac24..7461f5b742 100644 --- a/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_decoder.py +++ b/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) diff --git a/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py b/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py index 904115410b..64fd8ba3cb 100644 --- a/examples/kandinsky2_2/text_to_image/train_text_to_image_lora_prior.py +++ b/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) diff --git a/examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py b/examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py index ae5a807eba..fd4694d862 100644 --- a/examples/kandinsky2_2/text_to_image/train_text_to_image_prior.py +++ b/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) diff --git a/examples/model_search/pipeline_easy.py b/examples/model_search/pipeline_easy.py index b82e98fb71..fcce297c37 100644 --- a/examples/model_search/pipeline_easy.py +++ b/examples/model_search/pipeline_easy.py @@ -1249,7 +1249,7 @@ class EasyPipelineForText2Image(AutoPipelineForText2Image): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login`. @@ -1358,7 +1358,7 @@ class EasyPipelineForText2Image(AutoPipelineForText2Image): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login`. @@ -1507,7 +1507,7 @@ class EasyPipelineForImage2Image(AutoPipelineForImage2Image): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login`. @@ -1617,7 +1617,7 @@ class EasyPipelineForImage2Image(AutoPipelineForImage2Image): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login`. @@ -1766,7 +1766,7 @@ class EasyPipelineForInpainting(AutoPipelineForInpainting): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login @@ -1875,7 +1875,7 @@ class EasyPipelineForInpainting(AutoPipelineForInpainting): To use private or [gated](https://huggingface.co/docs/hub/models-gated#gated-models) models, log-in with - `huggingface-cli login`. + `hf auth login diff --git a/examples/research_projects/autoencoderkl/train_autoencoderkl.py b/examples/research_projects/autoencoderkl/train_autoencoderkl.py index 31cf8414ac..dfb9e42ef1 100644 --- a/examples/research_projects/autoencoderkl/train_autoencoderkl.py +++ b/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) diff --git a/examples/research_projects/consistency_training/train_cm_ct_unconditional.py b/examples/research_projects/consistency_training/train_cm_ct_unconditional.py index c873356eb2..5cca8eea89 100644 --- a/examples/research_projects/consistency_training/train_cm_ct_unconditional.py +++ b/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) diff --git a/examples/research_projects/controlnet/train_controlnet_webdataset.py b/examples/research_projects/controlnet/train_controlnet_webdataset.py index 9744bc7be2..f33a65c756 100644 --- a/examples/research_projects/controlnet/train_controlnet_webdataset.py +++ b/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) diff --git a/examples/research_projects/diffusion_dpo/train_diffusion_dpo.py b/examples/research_projects/diffusion_dpo/train_diffusion_dpo.py index 8ea0768604..fda2a15809 100644 --- a/examples/research_projects/diffusion_dpo/train_diffusion_dpo.py +++ b/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) diff --git a/examples/research_projects/diffusion_dpo/train_diffusion_dpo_sdxl.py b/examples/research_projects/diffusion_dpo/train_diffusion_dpo_sdxl.py index d11f961def..aa39b0b517 100644 --- a/examples/research_projects/diffusion_dpo/train_diffusion_dpo_sdxl.py +++ b/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) diff --git a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py b/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py index 12eb67d4a7..46045d330b 100644 --- a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora.py +++ b/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) diff --git a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py b/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py index 9f96ef944a..93418bf910 100644 --- a/examples/research_projects/diffusion_orpo/train_diffusion_orpo_sdxl_lora_wds.py +++ b/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) diff --git a/examples/research_projects/flux_lora_quantization/README.md b/examples/research_projects/flux_lora_quantization/README.md index c0d76ac9bc..71ed28520a 100644 --- a/examples/research_projects/flux_lora_quantization/README.md +++ b/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: diff --git a/examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py b/examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py index ca61664059..572c69fddf 100644 --- a/examples/research_projects/flux_lora_quantization/train_dreambooth_lora_flux_miniature.py +++ b/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": diff --git a/examples/research_projects/gligen/README.md b/examples/research_projects/gligen/README.md index fa922617d9..3da23306ce 100644 --- a/examples/research_projects/gligen/README.md +++ b/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. diff --git a/examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py b/examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py index ac754dc9c5..06079fe9ed 100644 --- a/examples/research_projects/instructpix2pix_lora/train_instruct_pix2pix_lora.py +++ b/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: diff --git a/examples/research_projects/intel_opts/textual_inversion/textual_inversion_bf16.py b/examples/research_projects/intel_opts/textual_inversion/textual_inversion_bf16.py index ea4a0d255b..740a759420 100644 --- a/examples/research_projects/intel_opts/textual_inversion/textual_inversion_bf16.py +++ b/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) diff --git a/examples/research_projects/lora/README.md b/examples/research_projects/lora/README.md index 589d3e9c0f..55b870b0bc 100644 --- a/examples/research_projects/lora/README.md +++ b/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! diff --git a/examples/research_projects/lora/train_text_to_image_lora.py b/examples/research_projects/lora/train_text_to_image_lora.py index a734c50d8e..a9079c114f 100644 --- a/examples/research_projects/lora/train_text_to_image_lora.py +++ b/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) diff --git a/examples/research_projects/multi_subject_dreambooth/train_multi_subject_dreambooth.py b/examples/research_projects/multi_subject_dreambooth/train_multi_subject_dreambooth.py index 57c555e43f..6b0ae5ba97 100644 --- a/examples/research_projects/multi_subject_dreambooth/train_multi_subject_dreambooth.py +++ b/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) diff --git a/examples/research_projects/multi_token_textual_inversion/README.md b/examples/research_projects/multi_token_textual_inversion/README.md index 16847c2cce..7d80c0beee 100644 --- a/examples/research_projects/multi_token_textual_inversion/README.md +++ b/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. diff --git a/examples/research_projects/multi_token_textual_inversion/textual_inversion.py b/examples/research_projects/multi_token_textual_inversion/textual_inversion.py index 75dcfccbd5..ffcc8a75c8 100644 --- a/examples/research_projects/multi_token_textual_inversion/textual_inversion.py +++ b/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) diff --git a/examples/research_projects/multi_token_textual_inversion/textual_inversion_flax.py b/examples/research_projects/multi_token_textual_inversion/textual_inversion_flax.py index ecc89f9829..a5973e1490 100644 --- a/examples/research_projects/multi_token_textual_inversion/textual_inversion_flax.py +++ b/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)." ), ) diff --git a/examples/research_projects/onnxruntime/text_to_image/README.md b/examples/research_projects/onnxruntime/text_to_image/README.md index f1f134c576..f398f08166 100644 --- a/examples/research_projects/onnxruntime/text_to_image/README.md +++ b/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. diff --git a/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py b/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py index ef910fab40..dd4c341ca8 100644 --- a/examples/research_projects/onnxruntime/text_to_image/train_text_to_image.py +++ b/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: diff --git a/examples/research_projects/onnxruntime/textual_inversion/README.md b/examples/research_projects/onnxruntime/textual_inversion/README.md index a0ca4f954b..fa6d95af30 100644 --- a/examples/research_projects/onnxruntime/textual_inversion/README.md +++ b/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. diff --git a/examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py b/examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py index a881b06a94..28bf029af4 100644 --- a/examples/research_projects/onnxruntime/textual_inversion/textual_inversion.py +++ b/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) diff --git a/examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py b/examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py index 9a00f7cc4a..acbb77fe3a 100644 --- a/examples/research_projects/onnxruntime/unconditional_image_generation/train_unconditional.py +++ b/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) diff --git a/examples/research_projects/pixart/train_pixart_controlnet_hf.py b/examples/research_projects/pixart/train_pixart_controlnet_hf.py index ec954505c2..e2f1fa1bc5 100644 --- a/examples/research_projects/pixart/train_pixart_controlnet_hf.py +++ b/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) diff --git a/examples/research_projects/pytorch_xla/inference/flux/README.md b/examples/research_projects/pytorch_xla/inference/flux/README.md index 9d482e6805..0bbd650bb6 100644 --- a/examples/research_projects/pytorch_xla/inference/flux/README.md +++ b/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: diff --git a/examples/research_projects/pytorch_xla/training/text_to_image/README.md b/examples/research_projects/pytorch_xla/training/text_to_image/README.md index 06013b8a61..f99ab12486 100644 --- a/examples/research_projects/pytorch_xla/training/text_to_image/README.md +++ b/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 diff --git a/examples/research_projects/realfill/train_realfill.py b/examples/research_projects/realfill/train_realfill.py index 419636d131..fd63f71b5f 100644 --- a/examples/research_projects/realfill/train_realfill.py +++ b/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) diff --git a/examples/research_projects/sana/README.md b/examples/research_projects/sana/README.md index ae80d11df4..933f32e3f9 100644 --- a/examples/research_projects/sana/README.md +++ b/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`)* diff --git a/examples/research_projects/sana/train_sana_sprint_diffusers.py b/examples/research_projects/sana/train_sana_sprint_diffusers.py index 335d9c377c..51db15f194 100644 --- a/examples/research_projects/sana/train_sana_sprint_diffusers.py +++ b/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": diff --git a/examples/research_projects/sana/train_sana_sprint_diffusers.sh b/examples/research_projects/sana/train_sana_sprint_diffusers.sh index 301fe5e429..acd49ad67f 100644 --- a/examples/research_projects/sana/train_sana_sprint_diffusers.sh +++ b/examples/research_projects/sana/train_sana_sprint_diffusers.sh @@ -1,6 +1,6 @@ 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 diff --git a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py b/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py index fd5b83a66e..50ab487bfe 100644 --- a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth.py +++ b/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) diff --git a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py b/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py index 393f991387..5ce510861a 100644 --- a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora.py +++ b/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) diff --git a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py b/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py index f011871c25..554aaedd7b 100644 --- a/examples/research_projects/scheduled_huber_loss_training/dreambooth/train_dreambooth_lora_sdxl.py +++ b/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: diff --git a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py b/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py index d867a5dd6a..c92b0ac053 100644 --- a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image.py +++ b/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: diff --git a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py b/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py index d01d5838f2..b7aa7b7bbb 100644 --- a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora.py +++ b/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) diff --git a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py b/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py index d9efca5ba5..715852cb72 100644 --- a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_lora_sdxl.py +++ b/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) diff --git a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py b/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py index 88880f5669..5a26fd3074 100644 --- a/examples/research_projects/scheduled_huber_loss_training/text_to_image/train_text_to_image_sdxl.py +++ b/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) diff --git a/examples/research_projects/sd3_lora_colab/README.md b/examples/research_projects/sd3_lora_colab/README.md index 33fc7030de..be1bddf983 100644 --- a/examples/research_projects/sd3_lora_colab/README.md +++ b/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. diff --git a/examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb b/examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb index 8e8190a593..79c3169b63 100644 --- a/examples/research_projects/sd3_lora_colab/sd3_dreambooth_lora_16gb.ipynb +++ b/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 diff --git a/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py b/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py index 21eb57ddc2..d73aab7363 100644 --- a/examples/research_projects/sd3_lora_colab/train_dreambooth_lora_sd3_miniature.py +++ b/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": diff --git a/examples/research_projects/wuerstchen/text_to_image/README.md b/examples/research_projects/wuerstchen/text_to_image/README.md index 118c5e0cf9..8df068a873 100644 --- a/examples/research_projects/wuerstchen/text_to_image/README.md +++ b/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 diff --git a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py b/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py index 9e2302f1b1..12586b5f57 100644 --- a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_lora_prior.py +++ b/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) diff --git a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py b/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py index 83647097d2..e72152b45c 100644 --- a/examples/research_projects/wuerstchen/text_to_image/train_text_to_image_prior.py +++ b/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) diff --git a/examples/t2i_adapter/README_sdxl.md b/examples/t2i_adapter/README_sdxl.md index 1e5a19feda..0a3b5e33d4 100644 --- a/examples/t2i_adapter/README_sdxl.md +++ b/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" diff --git a/examples/t2i_adapter/train_t2i_adapter_sdxl.py b/examples/t2i_adapter/train_t2i_adapter_sdxl.py index a5a8c5e2eb..acbee19fa5 100644 --- a/examples/t2i_adapter/train_t2i_adapter_sdxl.py +++ b/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) diff --git a/examples/text_to_image/README.md b/examples/text_to_image/README.md index 940d40c7b2..ebbf0a96be 100644 --- a/examples/text_to_image/README.md +++ b/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! diff --git a/examples/text_to_image/README_sdxl.md b/examples/text_to_image/README_sdxl.md index c0b7840f10..6fb10ec9e1 100644 --- a/examples/text_to_image/README_sdxl.md +++ b/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! diff --git a/examples/text_to_image/train_text_to_image.py b/examples/text_to_image/train_text_to_image.py index 7b5cd63758..bbd8fc062e 100644 --- a/examples/text_to_image/train_text_to_image.py +++ b/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: diff --git a/examples/text_to_image/train_text_to_image_flax.py b/examples/text_to_image/train_text_to_image_flax.py index 1eaed236fe..74423dcf27 100644 --- a/examples/text_to_image/train_text_to_image_flax.py +++ b/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( diff --git a/examples/text_to_image/train_text_to_image_lora.py b/examples/text_to_image/train_text_to_image_lora.py index 01fcb38c74..19968c2547 100644 --- a/examples/text_to_image/train_text_to_image_lora.py +++ b/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) diff --git a/examples/text_to_image/train_text_to_image_lora_sdxl.py b/examples/text_to_image/train_text_to_image_lora_sdxl.py index 485b283978..88be919727 100644 --- a/examples/text_to_image/train_text_to_image_lora_sdxl.py +++ b/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) diff --git a/examples/text_to_image/train_text_to_image_sdxl.py b/examples/text_to_image/train_text_to_image_sdxl.py index f31971a816..dec202fbbf 100644 --- a/examples/text_to_image/train_text_to_image_sdxl.py +++ b/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) diff --git a/examples/textual_inversion/README.md b/examples/textual_inversion/README.md index 2f79107edb..06e22dbcd8 100644 --- a/examples/textual_inversion/README.md +++ b/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 . diff --git a/examples/textual_inversion/textual_inversion.py b/examples/textual_inversion/textual_inversion.py index a415b288d8..e31ba9bd0c 100644 --- a/examples/textual_inversion/textual_inversion.py +++ b/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) diff --git a/examples/textual_inversion/textual_inversion_flax.py b/examples/textual_inversion/textual_inversion_flax.py index d26ab492cd..f5863d94b0 100644 --- a/examples/textual_inversion/textual_inversion_flax.py +++ b/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)." ), ) diff --git a/examples/textual_inversion/textual_inversion_sdxl.py b/examples/textual_inversion/textual_inversion_sdxl.py index 1cfe7969ec..1752bfd3b1 100644 --- a/examples/textual_inversion/textual_inversion_sdxl.py +++ b/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) diff --git a/examples/unconditional_image_generation/README.md b/examples/unconditional_image_generation/README.md index 2990b3abf3..22f982509b 100644 --- a/examples/unconditional_image_generation/README.md +++ b/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: diff --git a/setup.py b/setup.py index 103ff16e35..799150fd03 100644 --- a/setup.py +++ b/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", diff --git a/src/diffusers/configuration_utils.py b/src/diffusers/configuration_utils.py index 91efdb0396..540aab0307 100644 --- a/src/diffusers/configuration_utils.py +++ b/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( diff --git a/src/diffusers/dependency_versions_table.py b/src/diffusers/dependency_versions_table.py index ec52bcd636..3d14a8b3e0 100644 --- a/src/diffusers/dependency_versions_table.py +++ b/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", diff --git a/src/diffusers/guiders/guider_utils.py b/src/diffusers/guiders/guider_utils.py index 1c0b8cb286..9dc83a7f1d 100644 --- a/src/diffusers/guiders/guider_utils.py +++ b/src/diffusers/guiders/guider_utils.py @@ -249,8 +249,8 @@ class BaseGuidance(ConfigMixin, PushToHubMixin): - 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. diff --git a/src/diffusers/models/auto_model.py b/src/diffusers/models/auto_model.py index 96785ce6f5..bfe386f1f6 100644 --- a/src/diffusers/models/auto_model.py +++ b/src/diffusers/models/auto_model.py @@ -117,8 +117,8 @@ class AutoModel(ConfigMixin): - 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. diff --git a/src/diffusers/models/modeling_flax_utils.py b/src/diffusers/models/modeling_flax_utils.py index 52f004f6f9..010b737745 100644 --- a/src/diffusers/models/modeling_flax_utils.py +++ b/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( diff --git a/src/diffusers/models/modeling_utils.py b/src/diffusers/models/modeling_utils.py index 4941b6d2a7..815f12a707 100644 --- a/src/diffusers/models/modeling_utils.py +++ b/src/diffusers/models/modeling_utils.py @@ -943,8 +943,8 @@ class ModelMixin(torch.nn.Module, PushToHubMixin): - 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. diff --git a/src/diffusers/pipelines/README.md b/src/diffusers/pipelines/README.md index b0a8a54b14..363caffe20 100644 --- a/src/diffusers/pipelines/README.md +++ b/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") diff --git a/src/diffusers/pipelines/auto_pipeline.py b/src/diffusers/pipelines/auto_pipeline.py index 8ca60d9f63..fddef41922 100644 --- a/src/diffusers/pipelines/auto_pipeline.py +++ b/src/diffusers/pipelines/auto_pipeline.py @@ -392,8 +392,8 @@ class AutoPipelineForText2Image(ConfigMixin): - 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`. @@ -687,8 +687,8 @@ class AutoPipelineForImage2Image(ConfigMixin): - 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`. @@ -997,8 +997,8 @@ class AutoPipelineForInpainting(ConfigMixin): - 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`. diff --git a/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py b/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py index 525c5e90c5..59c79e134e 100644 --- a/src/diffusers/pipelines/deprecated/stable_diffusion_variants/pipeline_cycle_diffusion.py +++ b/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") diff --git a/src/diffusers/pipelines/pipeline_flax_utils.py b/src/diffusers/pipelines/pipeline_flax_utils.py index 7c5ac89602..ea2c0763d9 100644 --- a/src/diffusers/pipelines/pipeline_flax_utils.py +++ b/src/diffusers/pipelines/pipeline_flax_utils.py @@ -278,8 +278,8 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin): - 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`. diff --git a/src/diffusers/pipelines/pipeline_utils.py b/src/diffusers/pipelines/pipeline_utils.py index 6b8ba55941..22efaccec1 100644 --- a/src/diffusers/pipelines/pipeline_utils.py +++ b/src/diffusers/pipelines/pipeline_utils.py @@ -710,8 +710,8 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin): - 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`. @@ -1430,8 +1430,8 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin): - 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 diff --git a/src/diffusers/pipelines/stable_diffusion/README.md b/src/diffusers/pipelines/stable_diffusion/README.md index 2dc538f858..164baeb0a4 100644 --- a/src/diffusers/pipelines/stable_diffusion/README.md +++ b/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") diff --git a/src/diffusers/schedulers/scheduling_utils.py b/src/diffusers/schedulers/scheduling_utils.py index 61d3e5a22f..f0e162ea6b 100644 --- a/src/diffusers/schedulers/scheduling_utils.py +++ b/src/diffusers/schedulers/scheduling_utils.py @@ -140,8 +140,8 @@ class SchedulerMixin(PushToHubMixin): - 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. diff --git a/src/diffusers/schedulers/scheduling_utils_flax.py b/src/diffusers/schedulers/scheduling_utils_flax.py index abcde6c386..e6ac78f63e 100644 --- a/src/diffusers/schedulers/scheduling_utils_flax.py +++ b/src/diffusers/schedulers/scheduling_utils_flax.py @@ -120,7 +120,7 @@ class FlaxSchedulerMixin(PushToHubMixin): - 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). diff --git a/src/diffusers/utils/dynamic_modules_utils.py b/src/diffusers/utils/dynamic_modules_utils.py index 8eb99038c1..74ed240bf0 100644 --- a/src/diffusers/utils/dynamic_modules_utils.py +++ b/src/diffusers/utils/dynamic_modules_utils.py @@ -318,8 +318,8 @@ def get_cached_module_file( - 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). @@ -505,8 +505,8 @@ def get_class_from_dynamic_module( - 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). diff --git a/src/diffusers/utils/hub_utils.py b/src/diffusers/utils/hub_utils.py index 8aaee5b75d..cf85488b7a 100644 --- a/src/diffusers/utils/hub_utils.py +++ b/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`):