Comments (12)
Turns out the problem was just me. It takes a while and without any progressbar it seems to hang but it still working.
Continuing on.
from text-to-video-finetuning.
The following ensures the install happens in the right place (i.e. this is how to get the location to persist when doing cd in Google Colab):
!git clone https://github.com/ExponentialML/Text-To-Video-Finetuning.git
%cd Text-To-Video-Finetuning
!git lfs install
!git clone https://huggingface.co/damo-vilab/text-to-video-ms-1.7b ./models/model_scope_diffusers/
notice the %cd ...
from text-to-video-finetuning.
I made a quick attempt at it but kept getting
Error: Failed to call git rev-parse --git-dir: exit status 128
Git LFS initialized.
from text-to-video-finetuning.
The other problem I ran into was it not installing the models correctly in the proper directory because each command seems to run from root and not from last known location:
!git clone https://github.com/ExponentialML/Text-To-Video-Finetuning.git
!cd Text-To-Video-Finetuning
!git lfs install
!git clone https://huggingface.co/damo-vilab/text-to-video-ms-1.7b ./models/model_scope_diffusers/
Which means the process just hangs
from text-to-video-finetuning.
The other problem I ran into was it not installing the models correctly in the proper directory because each command seems to run from root and not from last known location:
!git clone https://github.com/ExponentialML/Text-To-Video-Finetuning.git !cd Text-To-Video-Finetuning !git lfs install !git clone https://huggingface.co/damo-vilab/text-to-video-ms-1.7b ./models/model_scope_diffusers/
Which means the process just hangs
Did you find a fix for the issues yet? Because I don't have a PC rn and I don't know how to run the code anyways.
from text-to-video-finetuning.
Still looking. Not sure why git is hanging but can replicate the issue both on Colab and on my laptop
from text-to-video-finetuning.
Update: ran into the same issue here: #61 and suspected my process missed something. Going to regen another fine-tune and update when I can
from text-to-video-finetuning.
The other problem I ran into was it not installing the models correctly in the proper directory because each command seems to run from root and not from last known location:
!git clone https://github.com/ExponentialML/Text-To-Video-Finetuning.git !cd Text-To-Video-Finetuning !git lfs install !git clone https://huggingface.co/damo-vilab/text-to-video-ms-1.7b ./models/model_scope_diffusers/
Which means the process just hangs
Did you find a fix for the issues yet? Because I don't have a PC rn and I don't know how to run the code anyways.
This is solved. Takes longer to download the weights than I expected and lack of progress indicator threw me off
from text-to-video-finetuning.
@patrickjonesdotca would you be able to share your colab notebook? I'm trying to get this to run in Colab as well and am running into the same issues mentioned above with install & inference
Thanks in advance!
from text-to-video-finetuning.
The following ensures the install happens in the right place (i.e. this is how to get the location to persist when doing cd in Google Colab):
!git clone https://github.com/ExponentialML/Text-To-Video-Finetuning.git %cd Text-To-Video-Finetuning !git lfs install !git clone https://huggingface.co/damo-vilab/text-to-video-ms-1.7b ./models/model_scope_diffusers/
notice the %cd ...
Thank you!
from text-to-video-finetuning.
Hey, when trying
!python train.py --config /path/to/Text-To-Video-Finetuning/configs/v2/low_vram_config_example.yaml
get :
Traceback (most recent call last): File "/content/drive/MyDrive/Text-To-Video-Finetuning/train.py", line 998, in <module> main(**OmegaConf.load(args.config)) File "/content/drive/MyDrive/Text-To-Video-Finetuning/train.py", line 577, in main accelerator = Accelerator( TypeError: Accelerator.__init__() got an unexpected keyword argument 'logging_dir'
Any idea ?
from text-to-video-finetuning.
There is a finetuning Colab here: https://github.com/camenduru/Text-To-Video-Finetuning-colab
Please let me know if there are any issues, and I'll re-open.
from text-to-video-finetuning.
Related Issues (20)
- webui Lora Might be causing errors in checkpoint models. HOT 3
- How to train with folder video HOT 1
- Which paper? HOT 1
- RuntimeError: cannot reshape tensor of 0 elements into shape [0, -1, 1, 512] because the unspecified dimension size -1 can be any value and is ambiguous HOT 3
- Does this code support native finetune for damo text to video model? HOT 2
- AttributeError: 'Tensor' object has no attribute 'config' HOT 5
- How can I run the fine-tuning on a GPU with <= 16GB of VRAM? HOT 3
- I have some doubts about the framework HOT 4
- A typo
- TypeError: Linear.forward() got an unexpected keyword argument 'scale' HOT 6
- wrong norm method HOT 1
- issues on train.py HOT 1
- [inference] latents_window index error HOT 1
- Two forward passes in finetune_unet HOT 1
- Lora on ResnetBlock2D in modelscope model HOT 1
- Can the videocomposer model be adapted to this training framework?
- Normal finetuning instead of LoRA
- ControlNet
- init_video problem
- finetune train error of "UnboundLocalError: local variable 'use_offset_noise' referenced before assignment" HOT 2
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from text-to-video-finetuning.