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Diffstat (limited to 'javascript/hints.js')
| -rw-r--r-- | javascript/hints.js | 3 |
1 files changed, 3 insertions, 0 deletions
diff --git a/javascript/hints.js b/javascript/hints.js index 856e1389..e746e20d 100644 --- a/javascript/hints.js +++ b/javascript/hints.js @@ -20,6 +20,7 @@ titles = { "\u{1f4be}": "Save style", "\U0001F5D1": "Clear prompt", "\u{1f4cb}": "Apply selected styles to current prompt", + "\u{1f4d2}": "Paste available values into the field", "Inpaint a part of image": "Draw a mask over an image, and the script will regenerate the masked area with content according to prompt", "SD upscale": "Upscale image normally, split result into tiles, improve each tile using img2img, merge whole image back", @@ -91,7 +92,9 @@ titles = { "Weighted sum": "Result = A * (1 - M) + B * M", "Add difference": "Result = A + (B - C) * M", + "No interpolation": "Result = A", + "Initialization text": "If the number of tokens is more than the number of vectors, some may be skipped.\nLeave the textbox empty to start with zeroed out vectors", "Learning rate": "How fast should 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.", |