4 ms·
I really like it. It does seem to be suffering a little from some biases that are probably coming from sdxl though.
by lawlessone 3y ago
I really like it. It does seem to be suffering a little from some biases that are probably coming from sdxl though.
- nonethewiser 3y agoWhat biases?
- lawlessone 3y agoAs others have pointed out it tends to associate some professions with specific races. And crime related emojis with black people. It's a Stable Diffusion issue.
- meowtimemania 3y agoIt seems biased towards white people for most anything I input. criminal - black man stealing - white murderer - white killer - white thief - white skin, black beard. arab? Indian? man murdering kittens - white
- another_story 3y agoI just ran "a criminal" 8 times and got only white men.
- yreg 3y agoIt's not a stable diffusion issue, it's a culture issue.
- lawlessone 3y ago"It's not a stable diffusion issue, it's a culture issue." parroting and perpetuating the biases will ensure it will continue to be a culture issue.
- feralderyl 3y agoThe text to image models represent the data that is being fed to it. If you feed it 100 images and out of those 100 images 95 are of white men politicians and 5 are of politicians of color, that's what you are going to get back. These datasets are gathered automatically from various internet sources and represent the data that is available out in the wild. For stable diffusion to "fix" the bias in the data set would be simply impossible. That would require hiring an army of people whose sole purpose would be to "rebalance" the data set on some internal objective schema manually.
- nonethewiser 3y agoId rather train it on real data and fix the root cause than to interject some version of utopia that won the minds of developers.