stable-diffusion-webui/scripts/postprocessing_codeformer.py at master · dmkwon/stable-diffusion-webui · GitHub

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from PIL import Image

import numpy as np

from modules import scripts_postprocessing, codeformer_model, ui_components

import gradio as gr

class ScriptPostprocessingCodeFormer(scripts_postprocessing.ScriptPostprocessing):

name = "CodeFormer"

order = 3000

def ui(self):

with ui_components.InputAccordion(False, label="CodeFormer") as enable:

with gr.Row():

codeformer_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_codeformer_visibility")

codeformer_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")

return {

"enable": enable,

"codeformer_visibility": codeformer_visibility,

"codeformer_weight": codeformer_weight,

}

def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, codeformer_visibility, codeformer_weight):

if codeformer_visibility == 0 or not enable:

return

restored_img = codeformer_model.codeformer.restore(np.array(pp.image, dtype=np.uint8), w=codeformer_weight)

res = Image.fromarray(restored_img)

if codeformer_visibility < 1.0:

res = Image.blend(pp.image, res, codeformer_visibility)

pp.image = res

pp.info["CodeFormer visibility"] = round(codeformer_visibility, 3)

pp.info["CodeFormer weight"] = round(codeformer_weight, 3)

stable-diffusion-webui/scripts/postprocessing_codeformer.py at master · dmkwon/stable-diffusion-webui · GitHub

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