Comments (5)
I went to line 896 on Main.py, and changed "trainer" for "Trainer", now it's working
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Potentially related (NameError: name 'trainer' is not defined
):
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@H41907 were you able to get 1.5 to work ? im using the model from runwayml/stable-diffusion-v1-5 and it is constantly erroring out. could you point out how u got it to work ?
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No, not resolved. I also stopped looking into it: at the time I was thinking that the inpainting model is different to the standard SD model (1.4/1.5) and therefore not useable for Dreambooth.
size mismatch for model.diffusion_model.input_blocks.0.0.weight: copying a param with shape torch.Size([320, 9, 3, 3]) from checkpoint, the shape in current model is torch.Size([320, 4, 3, 3]).
I did not continue looking into it, maybe nowadays there is a solution or tool which solves the issue.
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@H41907 same here. i moved to the Diffuser way of doing things. got it to work well. actually the Huggingface "accelerate" libraries make training much faster with 1.5.
here's my simple notebook on this - https://github.com/sandys/SimpleDiffuserDreambooth
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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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