Comments (1)
yushan777
commented on July 18, 2024
I think your regularization images folder is empty, or it can't find them.
after setup cell, it should display your config which includes the paths it is expecting, example :
{
"class_word": "person",
"config_date_time": "2023-04-18T12-03-28",
"debug": false,
"flip_percent": 0.0,
"gpu": 0,
"learning_rate": 1e-06,
"max_training_steps": 2000,
"model_path": "sd_v1-5_vae.ckpt",
"model_repo_id": "panopstor/EveryDream",
"project_config_filename": "2023-04-18T12-03-28-ProjectName-config.json",
"project_name": "ProjectName",
"regularization_images_folder_path": "Stable-Diffusion-Regularization-Images-person_ddim/person_ddim",
"save_every_x_steps": 0,
"schema": 1,
"seed": 23,
"token": "firstNameLastName",
"token_only": false,
"training_images": [
"00.png",
"01.png",
"02.png",
"03.png",
"04.png",
"05.png",
"06.png",
"07.png",
"08.png",
"09.png"
],
"training_images_count": 10,
"training_images_folder_path": "./training_images"
}
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
- "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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from dreambooth-stable-diffusion.