stable-diffusion-webui
36 строк · 1.5 Кб
1from PIL import Image2import numpy as np3
4from modules import scripts_postprocessing, codeformer_model, ui_components5import gradio as gr6
7
8class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing):9name = "CodeFormer"10order = 300011
12def ui(self):13with ui_components.InputAccordion(False, label="CodeFormer") as enable:14with gr.Row():15codeformer_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_codeformer_visibility")16codeformer_weight = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Weight (0 = maximum effect, 1 = minimum effect)", value=0, elem_id="extras_codeformer_weight")17
18return {19"enable": enable,20"codeformer_visibility": codeformer_visibility,21"codeformer_weight": codeformer_weight,22}23
24def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, codeformer_visibility, codeformer_weight):25if codeformer_visibility == 0 or not enable:26return27
28restored_img = codeformer_model.codeformer.restore(np.array(pp.image, dtype=np.uint8), w=codeformer_weight)29res = Image.fromarray(restored_img)30
31if codeformer_visibility < 1.0:32res = Image.blend(pp.image, res, codeformer_visibility)33
34pp.image = res35pp.info["CodeFormer visibility"] = round(codeformer_visibility, 3)36pp.info["CodeFormer weight"] = round(codeformer_weight, 3)37