Comments (4)
I had this happen to me as well when I changed the steps to 9999 to see what would happen. After it reached 2020 steps it started again and I assumed it was trying to reach 9999 steps and was being displayed in the notebook as chunks of 2020
from dreambooth-stable-diffusion.
well I hope you had something else productive to do in the mean time haha, must have been long
from dreambooth-stable-diffusion.
What is being written to the UI is steps for a Epoch. An epoch length is training_images_count * 101
. An epoch's length doesn't matter, just total step count. So if you have 10 training images training for 2000 steps, you will have an epoch length of 1010, and it will get most of the way through the second epoch. It is not restarting training, just continuing on.
from dreambooth-stable-diffusion.
That's not the problem, this has been discussed before.
Regardless of the epoch length, for instance at 1500 steps 10 pics, it was 1010/1010 + another one 490/1010, it should have then stopped, it did but it started a whole other one right after, this only happened once but I saw many people reporting it so I thought opening an issue was in order
from dreambooth-stable-diffusion.
Related Issues (20)
- NameError: name 'trainer' is not defined HOT 8
- Does dreambooth support multi-subjects training? HOT 12
- Training on a model other than SD 1.5 HOT 6
- Regularization step always stops almost at the end HOT 1
- Conda OOM issue locally HOT 1
- Upload Images in Dreambooth Training Environment Setup fails on dreambooth_joepenna.ipynb HOT 4
- num_samples should be a positive integer value, but got num_samples=0 HOT 1
- "No training images provided" error HOT 5
- Establish a baseline with a sample set of training images HOT 1
- Ubuntu Running Error HOT 9
- ImportError: cannot import name '_PATH' from 'pytorch_lightning.utilities.types'
- support freezing text_encoder layers for OpenCLIP
- how to train x4-upscaling? HOT 1
- OutOfMemoryError: CUDA out of memory (WHY?) HOT 2
- Failure in installation step 2: ERROR: file:///content does not appear to be a Python project: neither 'setup.py' nor 'pyproject.toml' found. HOT 2
- pickle.UnpicklingError: invalid load key - Issue Using Safetensor training model HOT 1
- Torch Install Failure: "raise AssertionError("Torch not compiled with CUDA enabled") AssertionError: Torch not compiled with CUDA enabled" HOT 1
- Where is PPL implemented
- Error: HeaderTooLarge HOT 4
- Does this program support training based on muti-GPUS ?
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