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| author | terminaldweller <thabogre@gmail.com> | 2023-01-30 17:22:12 +0000 |
|---|---|---|
| committer | terminaldweller <thabogre@gmail.com> | 2023-01-30 17:22:12 +0000 |
| commit | 61d9c8693054dafe59c9416c415849f2e79e6751 (patch) | |
| tree | 9a18ccb02d24f66dbd1aafbe4ad4adfd2ac133bb | |
| parent | changed the width in css to allow for correct zooming (diff) | |
| download | magni-61d9c8693054dafe59c9416c415849f2e79e6751.tar.gz magni-61d9c8693054dafe59c9416c415849f2e79e6751.zip | |
updated the readme
| -rw-r--r-- | README.md | 8 |
1 files changed, 8 insertions, 0 deletions
@@ -1,2 +1,10 @@ # magni magni takes a url and upscales all the images inside and returns a simple html page with the images embedded.</br> + +```sh +HTTPS_PROXY=socks5h://127.0.0.1:9094 ./magni.py --url https://chapmanganato.com/manga-dt980702/chapter-184 +``` + +## Notes +* `magni` can use a socks5 proxy as is displayed in the above example.</br> +* currently the models we are using are not as effective. I should either fine ones that are specifically trained on greyscale images or just train some myself.</br> |