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The language of high-level art-direction can be way more complex than one might assume. I wonder how this model might cope with the following: ‘Decrease high-f
by Daub 4y ago
The language of high-level art-direction can be way more complex than one might assume. I wonder how this model might cope with the following:
‘Decrease high-frequency features of background.’
‘Increase intra-contrast of middle ground to foreground.’
‘Increase global saturation contrast.’
‘Increase hue spread of greens.’
- CyanBird 4y agoThey behave quite poorly, because the keywords used by the models are layman language not technical art or color correction/color grading-speak Hopefully in a couple of years when things have matured more there will be more models capable of handling said requests The most precise models are actually anime models because the users have got high standards for telling the machine what they expect of it and the databases are quite well annotated (booru tags)
- Daub 4y agoAround how many samples are required for an effective training set?
- duringwork12 4y agoLeonardo.ai can probably make a model that handles one of those prompts well with 40 images. To handle them all you would need a larger sample.
- wincy 4y agoWhen I was training Dreambooth on images of myself, then trying to get tags out of the images it generated of me to write better prompts, I clicked “booru tags” on automatic1111 not knowing what it was. It thought I was some sort of Yaoi manga and generated lots of tags that made me both uncomfortable and confused.