? They are all bad at first for the average person that uses surface level tools, but SD3 won’t have the community to tune it because it is proprietary junk and irrelevant now.
They realized that no matter how much they charged as a one time fee, the people the got the one time fee enterprise license would eventually cost them more in computational costs them the fee. So they switched it to 6000 image generations, which wasn’t enough for most of the community that made fixes and trained loras, so none of the “cool” community stuff will work with SD3.
Have they considered a community sponsored “group buy” of compute, to just train the model as far as the community will bear ?
SDXL was so great, surely 100k people could put 5$ a month toward making monthly improvement open source checkpoints happen ?
I don’t see any other financing model work out if the output is open source. It simply can’t be financed after publication. And it won’t get the community support if it’s behind a paywall.
? They are all bad at first for the average person that uses surface level tools, but SD3 won’t have the community to tune it because it is proprietary junk and irrelevant now.
What changed between SDXL and SD3? I’m out of the loop on this one.
They realized that no matter how much they charged as a one time fee, the people the got the one time fee enterprise license would eventually cost them more in computational costs them the fee. So they switched it to 6000 image generations, which wasn’t enough for most of the community that made fixes and trained loras, so none of the “cool” community stuff will work with SD3.
Have they considered a community sponsored “group buy” of compute, to just train the model as far as the community will bear ? SDXL was so great, surely 100k people could put 5$ a month toward making monthly improvement open source checkpoints happen ? I don’t see any other financing model work out if the output is open source. It simply can’t be financed after publication. And it won’t get the community support if it’s behind a paywall.