Mirrors
/
stable-diffusion-webui
mirror of https://github.com/AUTOMATIC1111/stable-diffusion-webui.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

README.md: Fix typos

This commit is contained in:
Christian Clauss 2022-08-29 08:05:13 +02:00 committed by GitHub
parent 036a0dde70
commit 3c7a22f77b
No known key found for this signature in database
GPG Key ID: 4AEE18F83AFDEB23
1 changed files with 3 additions and 3 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

6
README.md
View File

@ -111,7 +111,7 @@ will be appended to a csv file `log/log.csv` in the `/sd` directory.
If you're like me, you experiment a lot with prompts and settings, and only few images are worth saving. You can
just save them using right click in browser, but then you won't be able to reproduce them later because you will not
know what exact prompt created the image. If you use the flag button, generation paramerters will be written to csv file,
know what exact prompt created the image. If you use the flag button, generation parameters will be written to csv file,
and you can easily find parameters for an image by searching for its filename.
### Copy-paste generation parameters
@ -123,7 +123,7 @@ If you generate multiple pictures, the displayed seed will be the seed of the fi
### Correct seeds for batches
If you use a seed of 1000 to generate two batches of two images each, four generated images will have seeds: `1000, 1001, 1002, 1003`.
Previous versions of the UI would produce `1000, x, 1001, x`, where x is an iamge that can't be generated by any seed.
Previous versions of the UI would produce `1000, x, 1001, x`, where x is an image that can't be generated by any seed.
### Resizing
There are three options for resizing input images in img2img mode:
@ -167,7 +167,7 @@ PNG chunk info, for example: https://www.nayuki.io/page/png-file-chunk-inspector
### Textual Inversion
Allows you to use pretrained textual inversion embeddings.
See originial site for details: https://textual-inversion.github.io/.
See original site for details: https://textual-inversion.github.io/.
I used lstein's repo for training embdedding: https://github.com/lstein/stable-diffusion; if
you want to train your own, I recommend following the guide on his site.