stable-diffusion-webui
32 строки · 1.1 Кб
1from PIL import Image2import numpy as np3
4from modules import scripts_postprocessing, gfpgan_model, ui_components5import gradio as gr6
7
8class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):9name = "GFPGAN"10order = 200011
12def ui(self):13with ui_components.InputAccordion(False, label="GFPGAN") as enable:14gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_gfpgan_visibility")15
16return {17"enable": enable,18"gfpgan_visibility": gfpgan_visibility,19}20
21def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, gfpgan_visibility):22if gfpgan_visibility == 0 or not enable:23return24
25restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image, dtype=np.uint8))26res = Image.fromarray(restored_img)27
28if gfpgan_visibility < 1.0:29res = Image.blend(pp.image, res, gfpgan_visibility)30
31pp.image = res32pp.info["GFPGAN visibility"] = round(gfpgan_visibility, 3)33