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from modules import scripts_postprocessing
import gradio as gr
from modules.ui_components import FormRow
import rembg
models = [
"None",
"u2net",
"u2netp",
"u2net_human_seg",
"u2net_cloth_seg",
"silueta",
"isnet-general-use",
"isnet-anime",
]
class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
name = "Rembg"
order = 20000
model = None
def ui(self):
with FormRow():
model = gr.Dropdown(label="Remove background", choices=models, value="None")
return_mask = gr.Checkbox(label="Return mask", value=False)
alpha_matting = gr.Checkbox(label="Alpha matting", value=False)
with FormRow(visible=False) as alpha_mask_row:
alpha_matting_erode_size = gr.Slider(label="Erode size", minimum=0, maximum=40, step=1, value=10)
alpha_matting_foreground_threshold = gr.Slider(label="Foreground threshold", minimum=0, maximum=255, step=1, value=240)
alpha_matting_background_threshold = gr.Slider(label="Background threshold", minimum=0, maximum=255, step=1, value=10)
alpha_matting.change(
fn=lambda x: gr.update(visible=x),
inputs=[alpha_matting],
outputs=[alpha_mask_row],
)
return {
"model": model,
"return_mask": return_mask,
"alpha_matting": alpha_matting,
"alpha_matting_foreground_threshold": alpha_matting_foreground_threshold,
"alpha_matting_background_threshold": alpha_matting_background_threshold,
"alpha_matting_erode_size": alpha_matting_erode_size,
}
def process(self, pp: scripts_postprocessing.PostprocessedImage, model, return_mask, alpha_matting, alpha_matting_foreground_threshold, alpha_matting_background_threshold, alpha_matting_erode_size):
if not model or model == "None":
return
pp.image = rembg.remove(
pp.image,
session=rembg.new_session(model),
only_mask=return_mask,
alpha_matting=alpha_matting,
alpha_matting_foreground_threshold=alpha_matting_foreground_threshold,
alpha_matting_background_threshold=alpha_matting_background_threshold,
alpha_matting_erode_size=alpha_matting_erode_size,
)
pp.info["Rembg"] = model
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