3 ms·

If you rescale all your training data, then you're training on deliberately blurry images.

• byteknight 3y ago
  That's not accurate. Downsizing doesn't always blur.
• natch 3y ago
  Ever so slightly degraded perhaps in some cases but "blurry" is overstating it. And worth the trivial cost if such dumb-as-bricks techniques take hold. One could also submit each image to an image-to-image model with a blank prompt and the right settings to essentially ask for almost a copy, and come out with washed images. Could even do a sharpening (or upscale and sharpening for that matter) at the same time. It has a small (tiny really) GPU cost per image but it's a one-time cost.
• riidom 3y ago
  You could use it to check if the image is poisoned. Original image is a "cat", downscaled/blurred/posterized or whatever is a "dog", then something is strange and better skip it.
  • natch 3y ago
    I think “whatever” in your sentence is actually “have an infallibe human who knows all existent artistic styles tag it accurately with subject and style descriptions and then fine tune or train a model with it and then see if the model prompted with those descriptions produces images that match those descriptions.” So I think simply rescaling would be a lot easier.