Delete pixelart.py

pixelart.py

@@ -1,148 +0,0 @@
-import gradio as gr
-
-import modules.scripts as scripts
-from modules import images
-from modules.shared import opts
-
-from sd_webui_pixelart.utils import DITHER_METHODS, QUANTIZATION_METHODS, downscale_image, limit_colors, resize_image, convert_to_black_and_white, convert_to_grayscale
-
-class Script(scripts.Script):
-    def title(self):
-        return "Pixel art"
-
-
-    def show(self, is_img2img):
-        return scripts.AlwaysVisible
-
-
-    def ui(self, is_img2img):
-        quantization_methods = ['Median cut', 'Maximum coverage', 'Fast octree']
-        dither_methods = ['None', 'Floyd-Steinberg']
-
-        with gr.Accordion("Pixel art", open=False):
-            with gr.Row():
-                enabled = gr.Checkbox(label="Enable", value=False)
-
-            with gr.Column():
-                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():
-                            is_black_and_white = gr.Checkbox(label="Enable", value=False)
-                            is_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, 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, is_black_and_white, is_inversed_black_and_white, black_and_white_threshold, use_color_palette, palette_image, palette_colors, dither_method_palette]
-
-    def postprocess(
-        self,
-        p,
-        processed,
-        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,
-
-        is_black_and_white,
-        is_inversed_black_and_white,
-        black_and_white_threshold,
-
-        use_color_palette,
-        palette_image,
-        palette_colors,
-        dither_method_palette
-    ):
-        if not enabled:
-            return
-
-        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]
-
-        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 is_black_and_white:
-                new_image = convert_to_black_and_white(new_image, black_and_white_threshold, is_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')
-
-        for i in range(len(processed.images)):
-            pixel_image = process_image(processed.images[i])
-            processed.images.append(pixel_image)
-
-            images.save_image(pixel_image, p.outpath_samples, "pixel",
-            processed.seed + i, processed.prompt, opts.samples_format, info= processed.info, p=p)
-
-        return processed