Alpha V3

I highly recommend inpainting for best results and to unlock the full potential of the merge. Separate inpainting model not required. To help with inpainting human features, I have also been tinkering with this extension called !After Detailer, which automatically detects and "fixes" the portion of the image being generated via txt2img depending on the "ADetailer" model used, notably the models for the hands and face which I use most often. PS: As I have not updated this merge in quite a long time, I no longer remember the exact models used for versions 1-1.2. I believe that with the new update, the old versions would be rendered obsolete. V2 and V3 Mix Recipe: helloComic_v10Beta OccidentalMix - v2.0 fazz - v1.0 眼睛放大缩小器（Eyesize Slider） Recommended Settings: V 1.0: Sampling Method: DPM++ SDE Karras Sampling Steps: 50 V1.1 and above: Sampling Method: DPM++ 2M Karras, Euler A (Inpainting) Sampling Steps: 20-30 CFG = 7-10 Denoising Strength = 0.4-0.5 (general), 0.2-0.3 (inpainting hands) Workflow (used in V3 samples): txt2img >Initial dimensions 512x615 (WxH) >Hi-res fix by 1.25x to get 640x768 dimensions >Adetailer enabled using either 'face_yolov8n' or 'mediapipe_face_mesh' inpainting >Inpaint areas to improve quality. Do it part by part so that focused area will be altered with best results. Upscaling (optional): Upscale images by 2.25x Method A.: Upscaler 1 (U1) = Lanczos U2 = R-ESRGAN General WDN 4xV3 U2 Visibility = 0.5 GFPGAN visibility = 0.3 Method B.: U1 = 4xNMKDSuperscale_4xNMKDSuperscale