> So why are Keras creators listed as authors on this post and why is it on Keras' official site?
Because when Keras creators learned about the port done by what you define as an outsider they thought that it was cool - and that it would be nice to make it part of the KerasCV toolbox.
What answer did you expect?
You understand that it was "an outsider" who ported Stable Diffusion to Keras, right?
Timeline:
Aug 22, 2022 [day 1 of the SD era] Public release of stable diffusion
Sep 17, 2022 [day 27 of the SD era] Keras outsider Divam Gupta announces a Keras port
"Stable Diffusion implemented using @Tensorflow and #Keras. [...] Thanks @fchollet and team for building this amazing framework which makes it easy to implement a model like Stable Diffusion."
Sep 19, 2022 [day 29 of the SD era, 2 days after port announcement] François Chollet publishes a Twitter thread about the port (and his own improvements on a fork - two dozen commits dated Sep 18-21 will be pushed upstream)
"Huge thanks to @divamgupta for creating this port! This is top-quality work that will benefit everyone doing creative AI. I'm always amazed by the velocity of the open-source community"
Sep 25, 2022 [day 35 of the SD era, 8 days after port] Divam Gupta talks about the upcoming KerasCV integration
"Last week I implemented Stable Diffusion using Keras / Tensorflow. Now its almost integrated in KerasCV thanks to @fchollet and team. This is the power of open source collaboration."
Sep 27, 2022 [day 37 of the SD era, 10 days after port announcement] Official release of the Stable Diffusion implementation in KerasCV - and TFA (dated Sep 25)
"Stable Diffusion is now available directly in KerasCV! [...] Many thanks to all those who made this implementation possible, in particular @divamgupta @luke_wood_ml and of course the creators of the original Stable Diffusion models!"
Because when Keras creators learned about the port done by what you define as an outsider they thought that it was cool - and that it would be nice to make it part of the KerasCV toolbox.
What answer did you expect?
You understand that it was "an outsider" who ported Stable Diffusion to Keras, right?
Timeline:
Aug 22, 2022 [day 1 of the SD era] Public release of stable diffusion
Sep 17, 2022 [day 27 of the SD era] Keras outsider Divam Gupta announces a Keras port
https://twitter.com/divamgupta/status/1571234504320208897
"Stable Diffusion implemented using @Tensorflow and #Keras. [...] Thanks @fchollet and team for building this amazing framework which makes it easy to implement a model like Stable Diffusion."
Sep 19, 2022 [day 29 of the SD era, 2 days after port announcement] François Chollet publishes a Twitter thread about the port (and his own improvements on a fork - two dozen commits dated Sep 18-21 will be pushed upstream)
https://twitter.com/fchollet/status/1571874757582389250
"Huge thanks to @divamgupta for creating this port! This is top-quality work that will benefit everyone doing creative AI. I'm always amazed by the velocity of the open-source community"
Sep 25, 2022 [day 35 of the SD era, 8 days after port] Divam Gupta talks about the upcoming KerasCV integration
https://twitter.com/divamgupta/status/1574050880000770050
"Last week I implemented Stable Diffusion using Keras / Tensorflow. Now its almost integrated in KerasCV thanks to @fchollet and team. This is the power of open source collaboration."
Sep 27, 2022 [day 37 of the SD era, 10 days after port announcement] Official release of the Stable Diffusion implementation in KerasCV - and TFA (dated Sep 25)
https://twitter.com/fchollet/status/1574782176633430017
"Stable Diffusion is now available directly in KerasCV! [...] Many thanks to all those who made this implementation possible, in particular @divamgupta @luke_wood_ml and of course the creators of the original Stable Diffusion models!"