### UserWarning: None of the inputs have requires_grad=True. Gradients will be None

Not an error, this happens during the first time a set of samples are generated.  Ignore.

### CUDA out of memory

See [VRAM](VRAM.md) for more info. 

## ** Some images are smaller than the target size, consider using larger images
## ** Check logs\project_abc_sd21_20230301-122543\undersized_images.txt for more information.

Check the file linked, this is a warning that some of the imags are smaller than the resolution you're using to train.  

The best option is to source the originals again at a higher size. Or you can ignore it, use a high quality upscaler,  remove the images, or reduce the `resolution` you're training.  You might be ok if it is very small percentage of your dataset, but it is something you should check on.