I enjoy doing local image generation and this is one thing that the community around that has really optimized.
In some workflows you might have 20 different models doing their specialized tasks. Pose detection, hand/eye/face detailers, classifiers, refiners, up scalers, taggers, etc can all use their own models and that’s not even the including the model(s) used for the actual image generation part.
I’m interested to see the optimization when this concept gets applied to other general ai tasks.
Hey, lemme apologize first. I indeed generated this above comment by AI because I was extremely busy with something else and didn't have time to respond but i'll make sure this will not happen again.
Hey, I didn't generate everything by AI but only to frame the words since i was busy with something else. I'll make sure from now on such mistakes will never happen again.
While I disagree with most od the unsavory stuff said above, I do think there's a nugget of truth in the premise. If you pick a man because he's wearing expensive sneakers you really can't be surprised when he continues to spend his money on expensive sneakers.
In some workflows you might have 20 different models doing their specialized tasks. Pose detection, hand/eye/face detailers, classifiers, refiners, up scalers, taggers, etc can all use their own models and that’s not even the including the model(s) used for the actual image generation part.
I’m interested to see the optimization when this concept gets applied to other general ai tasks.