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import gradio as gr
from PIL import features
from modules import scripts_postprocessing
from modules.shared import opts
from sd_webui_pixelart.utils import DITHER_METHODS, QUANTIZATION_METHODS, downscale_image, limit_colors, resize_image, convert_to_grayscale, convert_to_black_and_white
class ScriptPostprocessingUpscale(scripts_postprocessing.ScriptPostprocessing):
name = "Pixel art"
order = 20005
model = None
def ui(self):
quantization_methods = ['Median cut', 'Maximum coverage', 'Fast octree']
dither_methods = ['None', 'Floyd-Steinberg']
if features.check_feature("libimagequant"):
quantization_methods.insert(0, "libimagequant")
with gr.Blocks():
with gr.Accordion(label="Pixel art", open=False):
enabled = gr.Checkbox(label="Enable", value=False)
with gr.Row():
downscale = gr.Slider(label="Downscale", minimum=1, maximum=32, step=2, value=8)
need_rescale = gr.Checkbox(label="Rescale to original size", value=True)
with gr.Tabs():
with gr.TabItem("Color"):
enable_color_limit = gr.Checkbox(label="Enable", value=False)
number_of_colors = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
quantization_method = gr.Radio(choices=quantization_methods, value=quantization_methods[0], label='Colors quantization method')
dither_method = gr.Radio(choices=dither_methods, value=dither_methods[0], label='Colors dither method')
use_k_means = gr.Checkbox(label="Enable k-means for color quantization", value=True)
with gr.TabItem("Grayscale"):
is_grayscale = gr.Checkbox(label="Enable", value=False)
number_of_shades = gr.Slider(label="Palette Size", minimum=1, maximum=256, step=1, value=16)
quantization_method_grayscale = gr.Radio(choices=quantization_methods, value=quantization_methods[0], label='Colors quantization method')
dither_method_grayscale = gr.Radio(choices=dither_methods, value=dither_methods[0], label='Colors dither method')
use_k_means_grayscale = gr.Checkbox(label="Enable k-means for color quantization", value=True)
with gr.TabItem("Black and white"):
with gr.Row():
black_and_white = gr.Checkbox(label="Enable", value=False)
inversed_black_and_white = gr.Checkbox(label="Inverse", value=False)
with gr.Row():
black_and_white_threshold = gr.Slider(label="Threshold", minimum=1, maximum=256, step=1, value=128)
with gr.TabItem("Custom color palette"):
use_color_palette = gr.Checkbox(label="Enable", value=False)
palette_image=gr.Image(label="Color palette image", type="pil")
palette_colors = gr.Slider(label="Palette Size (only for complex images)", minimum=1, maximum=256, step=1, value=16)
dither_method_palette = gr.Radio(choices=dither_methods, value=dither_methods[0], label='Colors dither method')
return {
"enabled": enabled,
"downscale": downscale,
"need_rescale": need_rescale,
"enable_color_limit": enable_color_limit,
"number_of_colors": number_of_colors,
"quantization_method": quantization_method,
"dither_method": dither_method,
"use_k_means": use_k_means,
"is_grayscale": is_grayscale,
"number_of_shades": number_of_shades,
"quantization_method_grayscale": quantization_method_grayscale,
"dither_method_grayscale": dither_method_grayscale,
"use_k_means_grayscale": use_k_means_grayscale,
"use_color_palette": use_color_palette,
"palette_image": palette_image,
"palette_colors": palette_colors,
"dither_method_palette": dither_method_palette,
"black_and_white": black_and_white,
"inversed_black_and_white": inversed_black_and_white,
"black_and_white_threshold": black_and_white_threshold,
}
def process(
self,
pp: scripts_postprocessing.PostprocessedImage,
enabled,
downscale,
need_rescale,
enable_color_limit,
number_of_colors,
quantization_method,
dither_method,
use_k_means,
is_grayscale,
number_of_shades,
quantization_method_grayscale,
dither_method_grayscale,
use_k_means_grayscale,
use_color_palette,
palette_image,
palette_colors,
dither_method_palette,
black_and_white,
inversed_black_and_white,
black_and_white_threshold
):
dither = DITHER_METHODS[dither_method]
quantize = QUANTIZATION_METHODS[quantization_method]
dither_grayscale = DITHER_METHODS[dither_method_grayscale]
quantize_grayscale = QUANTIZATION_METHODS[quantization_method_grayscale]
dither_palette = DITHER_METHODS[dither_method_palette]
if not enabled:
return
def process_image(original_image):
original_width, original_height = original_image.size
if original_image.mode != "RGB":
new_image = original_image.convert("RGB")
else:
new_image = original_image
new_image = downscale_image(new_image, downscale)
if use_color_palette:
new_image = limit_colors(
image=new_image,
palette=palette_image,
palette_colors=palette_colors,
dither=dither_palette
)
if black_and_white:
new_image = convert_to_black_and_white(new_image, black_and_white_threshold, inversed_black_and_white)
if is_grayscale:
new_image = convert_to_grayscale(new_image)
new_image = limit_colors(
image=new_image,
limit=int(number_of_shades),
quantize=quantize_grayscale,
dither=dither_grayscale,
use_k_means=use_k_means_grayscale
)
if enable_color_limit:
new_image = limit_colors(
image=new_image,
limit=int(number_of_colors),
quantize=quantize,
dither=dither,
use_k_means=use_k_means
)
if need_rescale:
new_image = resize_image(new_image, (original_width, original_height))
return new_image.convert('RGBA')
pp.image = process_image(pp.image)
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