stable-diffusion-webui/scripts/postprocessing_upscale.py

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from PIL import Image
import numpy as np
from modules import scripts_postprocessing, shared
import gradio as gr
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from modules.ui_components import FormRow, ToolButton
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from modules.ui import switch_values_symbol
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upscale_cache = {}
class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
name = "Upscale"
order = 1000
def ui(self):
selected_tab = gr.State(value=0)
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with gr.Column():
with FormRow():
with gr.Tabs(elem_id="extras_resize_mode"):
with gr.TabItem('Scale by', elem_id="extras_scale_by_tab") as tab_scale_by:
upscaling_resize = gr.Slider(minimum=1.0, maximum=8.0, step=0.05, label="Resize", value=4, elem_id="extras_upscaling_resize")
with gr.TabItem('Scale to', elem_id="extras_scale_to_tab") as tab_scale_to:
with FormRow():
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with gr.Column(elem_id="upscaling_column_size", scale=4):
upscaling_resize_w = gr.Slider(minimum=64, maximum=2048, step=8, label="Width", value=512, elem_id="extras_upscaling_resize_w")
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upscaling_resize_h = gr.Slider(minimum=64, maximum=2048, step=8, label="Height", value=512, elem_id="extras_upscaling_resize_h")
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with gr.Column(elem_id="upscaling_dimensions_row", scale=1, elem_classes="dimensions-tools"):
upscaling_res_switch_btn = ToolButton(value=switch_values_symbol, elem_id="upscaling_res_switch_btn")
upscaling_crop = gr.Checkbox(label='Crop to fit', value=True, elem_id="extras_upscaling_crop")
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with FormRow():
extras_upscaler_1 = gr.Dropdown(label='Upscaler 1', elem_id="extras_upscaler_1", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
with FormRow():
extras_upscaler_2 = gr.Dropdown(label='Upscaler 2', elem_id="extras_upscaler_2", choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
extras_upscaler_2_visibility = gr.Slider(minimum=0.0, maximum=1.0, step=0.001, label="Upscaler 2 visibility", value=0.0, elem_id="extras_upscaler_2_visibility")
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upscaling_res_switch_btn.click(lambda w, h: (h, w), inputs=[upscaling_resize_w, upscaling_resize_h], outputs=[upscaling_resize_w, upscaling_resize_h], show_progress=False)
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tab_scale_by.select(fn=lambda: 0, inputs=[], outputs=[selected_tab])
tab_scale_to.select(fn=lambda: 1, inputs=[], outputs=[selected_tab])
return {
"upscale_mode": selected_tab,
"upscale_by": upscaling_resize,
"upscale_to_width": upscaling_resize_w,
"upscale_to_height": upscaling_resize_h,
"upscale_crop": upscaling_crop,
"upscaler_1_name": extras_upscaler_1,
"upscaler_2_name": extras_upscaler_2,
"upscaler_2_visibility": extras_upscaler_2_visibility,
}
def upscale(self, image, info, upscaler, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop):
if upscale_mode == 1:
upscale_by = max(upscale_to_width/image.width, upscale_to_height/image.height)
info["Postprocess upscale to"] = f"{upscale_to_width}x{upscale_to_height}"
else:
info["Postprocess upscale by"] = upscale_by
cache_key = (hash(np.array(image.getdata()).tobytes()), upscaler.name, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
cached_image = upscale_cache.pop(cache_key, None)
if cached_image is not None:
image = cached_image
else:
image = upscaler.scaler.upscale(image, upscale_by, upscaler.data_path)
upscale_cache[cache_key] = image
if len(upscale_cache) > shared.opts.upscaling_max_images_in_cache:
upscale_cache.pop(next(iter(upscale_cache), None), None)
if upscale_mode == 1 and upscale_crop:
cropped = Image.new("RGB", (upscale_to_width, upscale_to_height))
cropped.paste(image, box=(upscale_to_width // 2 - image.width // 2, upscale_to_height // 2 - image.height // 2))
image = cropped
info["Postprocess crop to"] = f"{image.width}x{image.height}"
return image
def process(self, pp: scripts_postprocessing.PostprocessedImage, upscale_mode=1, upscale_by=2.0, upscale_to_width=None, upscale_to_height=None, upscale_crop=False, upscaler_1_name=None, upscaler_2_name=None, upscaler_2_visibility=0.0):
if upscaler_1_name == "None":
upscaler_1_name = None
upscaler1 = next(iter([x for x in shared.sd_upscalers if x.name == upscaler_1_name]), None)
assert upscaler1 or (upscaler_1_name is None), f'could not find upscaler named {upscaler_1_name}'
if not upscaler1:
return
if upscaler_2_name == "None":
upscaler_2_name = None
upscaler2 = next(iter([x for x in shared.sd_upscalers if x.name == upscaler_2_name and x.name != "None"]), None)
assert upscaler2 or (upscaler_2_name is None), f'could not find upscaler named {upscaler_2_name}'
upscaled_image = self.upscale(pp.image, pp.info, upscaler1, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
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pp.info["Postprocess upscaler"] = upscaler1.name
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if upscaler2 and upscaler_2_visibility > 0:
second_upscale = self.upscale(pp.image, pp.info, upscaler2, upscale_mode, upscale_by, upscale_to_width, upscale_to_height, upscale_crop)
upscaled_image = Image.blend(upscaled_image, second_upscale, upscaler_2_visibility)
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pp.info["Postprocess upscaler 2"] = upscaler2.name
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pp.image = upscaled_image
def image_changed(self):
upscale_cache.clear()
class ScriptPostprocessingUpscaleSimple(ScriptPostprocessingUpscale):
name = "Simple Upscale"
order = 900
def ui(self):
with FormRow():
upscaler_name = gr.Dropdown(label='Upscaler', choices=[x.name for x in shared.sd_upscalers], value=shared.sd_upscalers[0].name)
upscale_by = gr.Slider(minimum=0.05, maximum=8.0, step=0.05, label="Upscale by", value=2)
return {
"upscale_by": upscale_by,
"upscaler_name": upscaler_name,
}
def process(self, pp: scripts_postprocessing.PostprocessedImage, upscale_by=2.0, upscaler_name=None):
if upscaler_name is None or upscaler_name == "None":
return
upscaler1 = next(iter([x for x in shared.sd_upscalers if x.name == upscaler_name]), None)
assert upscaler1, f'could not find upscaler named {upscaler_name}'
pp.image = self.upscale(pp.image, pp.info, upscaler1, 0, upscale_by, 0, 0, False)
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pp.info["Postprocess upscaler"] = upscaler1.name