NameError: name 'fdownloadmodel' is not defined

[SlightlyMe]

Hi, I'm running Dreambooth for the first time using colab, and when running the training cell, after uploading the images I get the following error. Pretty sure it's a newby mistake, but, any help is a appreciated. Thanks

Original model not found, downloading....

NameError Traceback (most recent call last)
in
15 get_ipython().system("rm -r '/content/stable-diffusion-v1-5'")
16 print('Original model not found, downloading....')
---> 17 fdownloadmodel()
18 if os.path.exists('/content/stable-diffusion-v1-5/unet/diffusion_pytorch_model.bin'):
19 print('Model downloaded, proceeding to training...')

NameError: name 'fdownloadmodel' is not defined

[TheLastBen]

Hi, make sure you correctly run the "Load/Create Session"

[SlightlyMe]

don't no where the bold came from!

[SlightlyMe]

I tried load/create session but it gives the following error:

ModuleNotFoundError Traceback (most recent call last)
in
2 from IPython.display import clear_output
3 from IPython.utils import capture
----> 4 import wget
5 import time
6

ModuleNotFoundError: No module named 'wget'

---

NOTE: If your import is failing due to a missing package, you can
manually install dependencies using either !pip or !apt.

To view examples of installing some common dependencies, click the
"Open Examples" button below.

[SlightlyMe]

really not having much luck!
now, even with a fresh instance, carefully going through all the cells, I reach training and gt the following error.

Progress:| | 0% 1/6200 [00:14<24:33:16, 14.26s/it, loss=0.131, lr=2e-6] MyPics Traceback (most recent call last):
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 788, in
main()
File "/content/diffusers/examples/dreambooth/train_dreambooth.py", line 657, in main
noise_pred = unet(noisy_latents, timesteps, encoder_hidden_states).sample
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/accelerate/utils/operations.py", line 507, in call
return convert_to_fp32(self.model_forward(*args, **kwargs))
File "/usr/local/lib/python3.7/dist-packages/torch/amp/autocast_mode.py", line 12, in decorate_autocast
return func(*args, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_2d_condition.py", line 314, in forward
upsample_size=upsample_size,
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/diffusers/models/unet_blocks.py", line 1150, in forward
hidden_states = resnet(hidden_states, temb)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/diffusers/models/resnet.py", line 359, in forward
hidden_states = self.norm1(hidden_states)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/module.py", line 1130, in _call_impl
return forward_call(*input, **kwargs)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/modules/normalization.py", line 273, in forward
input, self.num_groups, self.weight, self.bias, self.eps)
File "/usr/local/lib/python3.7/dist-packages/torch/nn/functional.py", line 2516, in group_norm
return torch.group_norm(input, num_groups, weight, bias, eps, torch.backends.cudnn.enabled)
RuntimeError: CUDA out of memory. Tried to allocate 30.00 MiB (GPU 0; 14.76 GiB total capacity; 13.36 GiB already allocated; 11.75 MiB free; 13.41 GiB reserved in total by PyTorch) If reserved memory is >> allocated memory try setting max_split_size_mb to avoid fragmentation. See documentation for Memory Management and PYTORCH_CUDA_ALLOC_CONF
Progress:| | 0% 1/6200 [00:15<26:19:51, 15.29s/it, loss=0.131, lr=2e-6]
Traceback (most recent call last):
File "/usr/local/bin/accelerate", line 8, in
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', '/content/diffusers/examples/dreambooth/train_dreambooth.py', '--image_captions_filename', '--train_text_encoder', '--save_starting_step=500', '--stop_text_encoder_training=6200', '--save_n_steps=0', '--Session_dir=/content/gdrive/MyDrive/Fast-Dreambooth/Sessions/MyModel4', '--pretrained_model_name_or_path=/content/stable-diffusion-v1-5', '--instance_data_dir=/content/gdrive/MyDrive/Fast-Dreambooth/Sessions/MyModel4/instance_images', '--output_dir=/content/models/MyModel4', '--instance_prompt=', '--seed=822907', '--resolution=1024', '--mixed_precision=fp16', '--train_batch_size=1', '--gradient_accumulation_steps=1', '--use_8bit_adam', '--learning_rate=2e-6', '--lr_scheduler=polynomial', '--lr_warmup_steps=0', '--max_train_steps=6200']' returned non-zero exit status 1.
Something went wrong

[SlightlyMe]

Now new instances I can't get past create/load session without this error
mkdir: cannot create directory ‘/content/gdrive/MyDrive’: Transport endpoint is not connected

really not working for me

[TheLastBen]

If you face any issue, disconnect from the colab runtime an reconnect, then rerun all the cells again.

The error you're getting at the beginning of the training is caused by VRAM, make sure you use a resolution below 640