stable-diffusion-webui/scripts/postprocessing_gfpgan.py

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from PIL import Image
import numpy as np
from modules import scripts_postprocessing, gfpgan_model, ui_components
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import gradio as gr
class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
name = "GFPGAN"
order = 2000
def ui(self):
with ui_components.InputAccordion(False, label="GFPGAN") as enable:
gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Visibility", value=1.0, elem_id="extras_gfpgan_visibility")
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return {
"enable": enable,
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"gfpgan_visibility": gfpgan_visibility,
}
def process(self, pp: scripts_postprocessing.PostprocessedImage, enable, gfpgan_visibility):
if gfpgan_visibility == 0 or not enable:
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return
restored_img = gfpgan_model.gfpgan_fix_faces(np.array(pp.image, dtype=np.uint8))
res = Image.fromarray(restored_img)
if gfpgan_visibility < 1.0:
res = Image.blend(pp.image, res, gfpgan_visibility)
pp.image = res
pp.info["GFPGAN visibility"] = round(gfpgan_visibility, 3)