2023-08-17 23:51:33 +02:00
5 changed files with 16 additions and 6 deletions
@@ -1,3 +1,11 @@
+# 1.2.2
+
+ Add NSFW filter option in settings (1 == disable)
+ Improve install speed
+ Install gpu requirements by default if --use-cpu is not used
+ Fix improved mask + color correction
+ Remove javascript, use https://github.com/w-e-w/sdwebui-close-confirmation-dialogue.git instead to prevent gradio from closing.
+
 # 1.2.1 :

 Add GPU support option : see https://github.com/glucauze/sd-webui-faceswaplab/pull/24
@@ -1,6 +1,10 @@
 # FaceSwapLab for a1111/Vlad

-Please read the documentation here : https://glucauze.github.io/sd-webui-faceswaplab/
+Please read the documentation here : https://glucauze.github.io/sd-webui-faceswaplab/ 
+
+You can also read the [doc discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions/categories/guide-doc)
+
+See [CHANGELOG.md](CHANGELOG.md) for changes in last versions.

 FaceSwapLab is an extension for Stable Diffusion that simplifies face-swapping. It has evolved from sd-webui-faceswap and some part of sd-webui-roop. However, a substantial amount of the code has been rewritten to improve performance and to better manage masks.

@@ -5,6 +5,8 @@ permalink: /doc/
 toc: true
 ---

+You can also read the [doc discussion section](https://github.com/glucauze/sd-webui-faceswaplab/discussions/categories/guide-doc)
+
 ## TLDR: I Just Want Good Results:

 1. Put a face in the reference.
@@ -1,4 +0,0 @@
-window.onbeforeunload = function() {
-    // Prevent the stable diffusion window from being closed by mistake
-    return "Are you sure ?";
-};
@@ -15,7 +15,7 @@ from scripts.faceswaplab_swapping.upcaled_inswapper_options import InswappperOpt
 from scripts.faceswaplab_utils.imgutils import cv2_to_pil, pil_to_cv2
 from scripts.faceswaplab_utils.sd_utils import get_sd_option
 from scripts.faceswaplab_utils.typing import CV2ImgU8, Face
-from scripts.faceswaplab_utils.faceswaplab_logging import logger, save_img_debug
+from scripts.faceswaplab_utils.faceswaplab_logging import logger


 def get_upscaler() -> Optional[UpscalerData]: