OPENGIT/stable-diffusion-webui
1
0
Fork 0
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git synced 2025-03-04 04:54:54 +08:00
Code Issues Packages Projects Releases Wiki Activity

Updated Features (markdown)

AUTOMATIC1111 2022-09-29 11:47:58 +03:00
parent e1641c0a34
commit 57fae932e7
1 changed files with 9 additions and 4 deletions

13
Features.md

@ -102,19 +102,24 @@ Rcommended parameters for upscaling:
| ![](images/sd-upscale-castle-original.png) | ![](images/sd-upscale-castle-realesrgan.png) | ![](images/sd-upscale-castle-esrgan-topaz-gigapixel.png) | ![](images/sd-upscale-castle-sd-upscale.png) |
| ![](images/sd-upscale-city-original.png) | ![](images/sd-upscale-city-realesrgan.png) | ![](images/sd-upscale-city-esrgan-topaz-gigapixel.png) | ![](images/sd-upscale-city-sd-upscale.png) |
# Attention
Using `()` in prompt increases model's attention to enclosed words, and `[]` decreases it. You can combine
multiple modifiers:
# Attention/emphasis
Using `()` in prompt increases model's attention to enclosed words, and `[]` decreases it. You can combine multiple modifiers:
![](images/attention-3.jpg)
With `()`, a weight can be specified like this: `(text:1.4)`. If the weight is not specified, it is assumed to be 1.1. Specifying weight only works with `()` not with `[]`.
If you want to use any of literal `()[]` characters in the prompt, use the backslash to escape them: `anime_\(character\)`.
On 2022-09-29, a new implementation was added that supports escape characters and numerical weights. A downside of the new implementation is that the old one was not perfect and sometimes ate characters: "a (((farm))), daytime", for example, would become "a farm daytime" without the comma. This behavior is not shared by the new implementation which preserves all text correctly, and this means that your saved seeds may produce different pictures. For now, there is an option in settings to use old implementation.
# Loopback
A checkbox for img2img allowing to automatically feed output image as input for the next batch. Equivalent to
saving output image, and replacing input image with it. Batch count setting controls how many iterations of
this you get.
Usually, when doing this, you would choose one of many images for the next iteration yourself, so the usefulness
of this feature may be questionable, but I've managed to get some very nice outputs with it that I wasn't abble
of this feature may be questionable, but I've managed to get some very nice outputs with it that I wasn't able
to get otherwise.
Example: (cherrypicked result)