start troubleshooting doc
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### UserWarning: None of the inputs have requires_grad=True. Gradients will be None
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Not an error, this happens during the first time a set of samples are generated. Ignore.
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### CUDA out of memory
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See [VRAM](VRAM.md) for more info.
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## ** Some images are smaller than the target size, consider using larger images
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## ** Check logs\project_abc_sd21_20230301-122543\undersized_images.txt for more information.
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Check the file linked, this is a warning that some of the imags are smaller than the resolution you're using to train.
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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.
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