Closed lllyasviel closed 1 year ago
Because t2i adapter's encoder is lighter, their guess mode will look like this These results may be interesting in "pure guesses"; but with prompts, perhaps in some cases it will still improve the result a bit. But since we already have guess mode for some models, perhaps we should implement all.
thanks very much! is it possible to put this in a bit higher priority? we are trying to perform some experiments in webui but if we can get this done we can simply reuse your codes. I tried this plugin today and this plugin is really awesome well done!
already added in https://github.com/Mikubill/sd-webui-controlnet/pull/262, will merge later after some tests
thanks! looking forward!
Hi the quality of results do not look similar to my results. seems something is not very correct.
My results are achieved by disconnect t2i adapter in uncond, and then on the cond side we use 0.25, 0.62, 0.825, 1.0 as weights. 1.0 is for the 8*8 layer. I am also looking at the codes my self to detect differences.
clearly not a problem of PLMS
Seems like adapter haven't disconnect on unconditional side, will fix later
misclicked. try with the latest commit
let me try
what happened?
clearly a bug, but why is this even possible? ? ? i do not input prompts but image quality very high!
find a way to reproduce it. load a img, generate, then click guesss mode, then generate, then change to ddim, then generate. boom! bug happens
god. these steps not needed. just guess mode+ ddim+pidnet+t2i sketch
god godess
absolutely impossible
I must know what happens.
my controlnet also has this
amazing. what happens????
Tested with Euler a and it seems….fine? Maybe some assertions not fully compatible with non-k-diffusion samplers. (DDIM/PLMS)
but what happens with ddim? this deserves a new paper! can we use this to extract the entire dataset of a diffusion model?
fixed in https://github.com/Mikubill/sd-webui-controlnet/commit/5a0fa4bd13bf49274e2075a3bd9909643104d8e9. Now it should generate similar result as other samplers does.
Root cause of that is vanilla samplers (DDIM/PMLS) using different input format than k-diffusion samplers, which is [uncond, cond] and [cond, uncond]. it's actually interesting: adding controlnet/adapter to uncond only could also produce good result. (and not related to input image)
before:
after:
goddess. We need to delete this issue and not let others know.
Because t2i adapter has fewer layers, weightings like 0.825**n will not work very well. After trying many possible weights, the below weights seem to work:
feature_64: 0.25 feature_32: 0.62 feature_16: 0.825 feature_8: 1.0
Let me know what you think or should i post some examples