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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)
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