Spaces:
Paused
Paused
File size: 1,025 Bytes
c9ea4f0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 |
from PIL import Image
import numpy as np
from modules import scripts_postprocessing, gfpgan_model
import gradio as gr
from modules.ui_components import FormRow
class ScriptPostprocessingGfpGan(scripts_postprocessing.ScriptPostprocessing):
name = "GFPGAN"
order = 2000
def ui(self):
with FormRow():
gfpgan_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="GFPGAN visibility", value=0, elem_id="extras_gfpgan_visibility")
return {
"gfpgan_visibility": gfpgan_visibility,
}
def process(self, pp: scripts_postprocessing.PostprocessedImage, gfpgan_visibility):
if gfpgan_visibility == 0:
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)
|