Comments (6)
Resolved.
In JoePenna's notebook,root path is "workspace", but in Paperspace it is "notebooks".
This is why the training images could not be referenced.
Rewriting the path in the notebook solves the problem.
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Did you figure out what was the issue?
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No, it's not resolved.
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Potentially related (NameError: name 'trainer' is not defined
):
I went to line 896 on Main.py, and changed "trainer" for "Trainer", now it's working
Originally posted by @Pegaxsus in #86 (comment)
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Has this been resolved yet? Getting the same error ..
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Yup I am also getting the same error
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Related Issues (20)
- Error while saving pretrained model
- StableDiffusionPipeline load pretrained models and learned_embeds_dict from different directories HOT 1
- setuptools==58.5.0 HOT 1
- 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
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