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The following values were not passed to `accelerate launch` and had defaults used instead:
`--num_processes` was set to a value of `1``--num_machines` was set to a value of `1``--mixed_precision` was set to a value of `'no'``--num_cpu_threads_per_process` was set to `1` to improve out-of-box performance
To avoid this warning pass in values for each of the problematic parameters or run `accelerate config`.
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_errors.py", line 213, in hf_raise_for_status
response.raise_for_status()
File "/usr/local/lib/python3.7/dist-packages/requests/models.py", line 941, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 403 Client Error: Forbidden for url: https://huggingface.co/CompVis/stable-diffusion-v1-4/resolve/main/model_index.json
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/diffusers/configuration_utils.py", line 234, in get_config_dict
revision=revision,
File "/usr/local/lib/python3.7/dist-packages/huggingface_hub/file_download.py", line 1057, in hf_hub_download
timeout=etag_timeout,
File "/usr/local/lib/python3.7/dist-packages/huggingface_hub/file_download.py", line 1359, in get_hf_file_metadata
hf_raise_for_status(r)
File "/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_errors.py", line 254, in hf_raise_for_status
raise HfHubHTTPError(str(HTTPError), response=response) from e
huggingface_hub.utils._errors.HfHubHTTPError: <class 'requests.exceptions.HTTPError'> (Request ID: ssVb9YQlJa6gYKCWwu9Tk)
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "train_dreambooth.py", line 695, in<module>main()
File "train_dreambooth.py", line 376, in main
args.pretrained_model_name_or_path, torch_dtype=torch_dtype, use_auth_token=True
File "/usr/local/lib/python3.7/dist-packages/diffusers/pipeline_utils.py", line 373, in from_pretrained
revision=revision,
File "/usr/local/lib/python3.7/dist-packages/diffusers/configuration_utils.py", line 256, in get_config_dict
"There was a specific connection error when trying to load"
OSError: There was a specific connection error when trying to load CompVis/stable-diffusion-v1-4:
<class 'requests.exceptions.HTTPError'> (Request ID: ssVb9YQlJa6gYKCWwu9Tk)
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in<module>sys.exit(main())
File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/accelerate_cli.py", line 43, in main
args.func(args)
File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 837, in launch_command
simple_launcher(args)
File "/usr/local/lib/python3.7/dist-packages/accelerate/commands/launch.py", line 354, in simple_launcher
raise subprocess.CalledProcessError(returncode=process.returncode, cmd=cmd)
subprocess.CalledProcessError: Command '['/usr/bin/python3', 'train_dreambooth.py', '--pretrained_model_name_or_path=CompVis/stable-diffusion-v1-4', '--instance_data_dir=/content/data/RealErnesttInput', '--class_data_dir=/content/data/person', '--output_dir=/content/drive/MyDrive/stable_diffusion_weights/sks', '--with_prior_preservation', '--prior_loss_weight=1.0', '--instance_prompt=RealErnest', '--class_prompt=person', '--seed=1337', '--resolution=512', '--train_batch_size=1', '--mixed_precision=fp16', '--use_8bit_adam', '--gradient_accumulation_steps=1', '--learning_rate=1e-6', '--lr_scheduler=constant', '--lr_warmup_steps=0', '--num_class_images=50', '--sample_batch_size=4', '--max_train_steps=800']' returned non-zero exit status 1.
Describe the bug
I get a huge error when I fill in the steps as shown on the video by James Cunliffe here: https://www.youtube.com/watch?v=FaLTztGGueQ
I have posted the error below and the colab was a Tesla T4, 15109 MiB
This error occurs when I press "play" on the "Start Training" section.
Reproduction
Follow his steps to the letter, except change his "realjames" for something else like whatever you called your Hugging Face token.
This is my settings:
!accelerate launch train_dreambooth.py
--pretrained_model_name_or_path=$MODEL_NAME
--instance_data_dir=$INSTANCE_DIR
--class_data_dir=$CLASS_DIR
--output_dir=$OUTPUT_DIR
--with_prior_preservation --prior_loss_weight=1.0
--instance_prompt="MY TOKEN NAME"
--class_prompt="person"
--seed=1337
--resolution=512
--train_batch_size=1
--train_text_encoder
--mixed_precision="fp16"
--use_8bit_adam
--gradient_accumulation_steps=1
--learning_rate=5e-6
--lr_scheduler="constant"
--lr_warmup_steps=0
--num_class_images=50
--sample_batch_size=4
--max_train_steps=1000
Logs
System Info
Google Colab: https://colab.research.google.com/github/ShivamShrirao/diffusers/blob/main/examples/dreambooth/DreamBooth_Stable_Diffusion.ipynb
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