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author | AUTOMATIC <16777216c@gmail.com> | 2022-12-24 19:39:00 +0000 |
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committer | AUTOMATIC <16777216c@gmail.com> | 2022-12-24 19:39:10 +0000 |
commit | 56e557c6ff8a6480887c9c585bf908045ee8e791 (patch) | |
tree | ee70923ea19aacdbd4da136471d1d5de73543d3c /javascript/hints.js | |
parent | 5927d3fa95e9ae43252d598f7791ca26cfcad5e3 (diff) | |
download | stable-diffusion-webui-gfx803-56e557c6ff8a6480887c9c585bf908045ee8e791.tar.gz stable-diffusion-webui-gfx803-56e557c6ff8a6480887c9c585bf908045ee8e791.tar.bz2 stable-diffusion-webui-gfx803-56e557c6ff8a6480887c9c585bf908045ee8e791.zip |
added cheap NN approximation for VAE
Diffstat (limited to 'javascript/hints.js')
-rw-r--r-- | javascript/hints.js | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/javascript/hints.js b/javascript/hints.js index a739a177..63e17e05 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -97,7 +97,10 @@ titles = { "Learning rate": "how fast should the training go. Low values will take longer to train, high values may fail to converge (not generate accurate results) and/or may break the embedding (This has happened if you see Loss: nan in the training info textbox. If this happens, you need to manually restore your embedding from an older not-broken backup).\n\nYou can set a single numeric value, or multiple learning rates using the syntax:\n\n rate_1:max_steps_1, rate_2:max_steps_2, ...\n\nEG: 0.005:100, 1e-3:1000, 1e-5\n\nWill train with rate of 0.005 for first 100 steps, then 1e-3 until 1000 steps, then 1e-5 for all remaining steps.", - "Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc." + "Clip skip": "Early stopping parameter for CLIP model; 1 is stop at last layer as usual, 2 is stop at penultimate layer, etc.", + + "Approx NN": "Cheap neural network approximation. Very fast compared to VAE, but produces pictures with 4 times smaller horizontal/vertical resoluton and lower quality.", + "Approx cheap": "Very cheap approximation. Very fast compared to VAE, but produces pictures with 8 times smaller horizontal/vertical resoluton and extremely low quality." } |