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-                    GNU GENERAL PUBLIC LICENSE
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-  IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
-WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
-THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
-GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
-USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
-DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
-PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
-EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
-SUCH DAMAGES.
-
-  17. Interpretation of Sections 15 and 16.
-
-  If the disclaimer of warranty and limitation of liability provided
-above cannot be given local legal effect according to their terms,
-reviewing courts shall apply local law that most closely approximates
-an absolute waiver of all civil liability in connection with the
-Program, unless a warranty or assumption of liability accompanies a
-copy of the Program in return for a fee.
-
-                     END OF TERMS AND CONDITIONS
-
-            How to Apply These Terms to Your New Programs
-
-  If you develop a new program, and you want it to be of the greatest
-possible use to the public, the best way to achieve this is to make it
-free software which everyone can redistribute and change under these terms.
-
-  To do so, attach the following notices to the program.  It is safest
-to attach them to the start of each source file to most effectively
-state the exclusion of warranty; and each file should have at least
-the "copyright" line and a pointer to where the full notice is found.
-
-    ultimate-upscale-for-automatic1111
-    Copyright (C) 2023  Mirzam
-
-    This program is free software: you can redistribute it and/or modify
-    it under the terms of the GNU General Public License as published by
-    the Free Software Foundation, either version 3 of the License, or
-    (at your option) any later version.
-
-    This program is distributed in the hope that it will be useful,
-    but WITHOUT ANY WARRANTY; without even the implied warranty of
-    MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
-    GNU General Public License for more details.
-
-    You should have received a copy of the GNU General Public License
-    along with this program.  If not, see <https://www.gnu.org/licenses/>.
-
-Also add information on how to contact you by electronic and paper mail.
-
-  If the program does terminal interaction, make it output a short
-notice like this when it starts in an interactive mode:
-
-    <program>  Copyright (C) 2023  Mirzam
-    This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
-    This is free software, and you are welcome to redistribute it
-    under certain conditions; type `show c' for details.
-
-The hypothetical commands `show w' and `show c' should show the appropriate
-parts of the General Public License.  Of course, your program's commands
-might be different; for a GUI interface, you would use an "about box".
-
-  You should also get your employer (if you work as a programmer) or school,
-if any, to sign a "copyright disclaimer" for the program, if necessary.
-For more information on this, and how to apply and follow the GNU GPL, see
-<https://www.gnu.org/licenses/>.
-
-  The GNU General Public License does not permit incorporating your program
-into proprietary programs.  If your program is a subroutine library, you
-may consider it more useful to permit linking proprietary applications with
-the library.  If this is what you want to do, use the GNU Lesser General
-Public License instead of this License.  But first, please read
-<https://www.gnu.org/licenses/why-not-lgpl.html>.

ultimate-upscale-for-automatic1111/README.md

@@ -1,119 +0,0 @@
-# Ultimate SD Upscale extension for [AUTOMATIC1111 Stable Diffusion web UI](https://github.com/AUTOMATIC1111/stable-diffusion-webui)
-Now you have the opportunity to use a large denoise (0.3-0.5) and not spawn many artifacts. Works on any video card, since you can use a 512x512 tile size and the image will converge.
-
-News channel: https://t.me/usdunews
-
-# Instructions
-All instructions can be found on the project's [wiki](https://github.com/Coyote-A/ultimate-upscale-for-automatic1111/wiki).
-
-# Refs
-
-https://github.com/ssitu/ComfyUI_UltimateSDUpscale - Implementation for ComfyUI
-
-# Examples
-More on [wiki page](https://github.com/Coyote-A/ultimate-upscale-for-automatic1111/wiki/Examples)
-
-<details> 
-  <summary>E1</summary>
-  Original image
-
-  ![Original](https://i.imgur.com/J8mRYOD.png)
-
-  2k upscaled. **Tile size**: 512, **Padding**: 32, **Mask blur**: 16, **Denoise**: 0.4
-  ![2k upscale](https://i.imgur.com/0aKua4r.png)
-</details>
-
-<details> 
-  <summary>E2</summary>
-  Original image
-
-  ![Original](https://i.imgur.com/aALNI2w.png)
-
-  2k upscaled. **Tile size**: 768, **Padding**: 55, **Mask blur**: 20, **Denoise**: 0.35
-  ![2k upscale](https://i.imgur.com/B5PHz0J.png)
-
-  4k upscaled. **Tile size**: 768, **Padding**: 55, **Mask blur**: 20, **Denoise**: 0.35
-  ![4k upscale](https://i.imgur.com/tIUQ7TJ.jpg)
-</details>
-
-<details> 
-  <summary>E3</summary>
-  Original image
-
-  ![Original](https://i.imgur.com/AGtszA8.png)
-
-  4k upscaled. **Tile size**: 768, **Padding**: 55, **Mask blur**: 20, **Denoise**: 0.4
-  ![4k upscale](https://i.imgur.com/LCYLfCs.jpg)
-</details>
-
-# API Usage
-
-```javascript
-{
-"script_name" : "ultimate sd upscale",
-"script_args" : [
-	null, // _ (not used)
-	512, // tile_width
-	512, // tile_height
-	8, // mask_blur
-	32, // padding
-	64, // seams_fix_width
-	0.35, // seams_fix_denoise
-	32, // seams_fix_padding
-	0, // upscaler_index
-	true, // save_upscaled_image a.k.a Upscaled
-	0, // redraw_mode
-	false, // save_seams_fix_image a.k.a Seams fix
-	8, // seams_fix_mask_blur
-	0, // seams_fix_type
-	0, // target_size_type
-	2048, // custom_width
-	2048, // custom_height
-	2 // custom_scale
-]
-}
-```
-upscaler_index
-| Value         |  |
-|:-------------:| -----:|
-| 0 | None |
-| 1 | Lanczos |
-| 2 | Nearest |
-| 3 | ESRGAN_4x |
-| 4 | LDSR |
-| 5 | R-ESRGAN_4x+ |
-| 6 | R-ESRGAN 4x+ Anime6B |
-| 7 | ScuNET GAN |
-| 8 | ScuNET PSNR |
-| 9 | SwinIR 4x |
-
-redraw_mode
-| Value         |  |
-|:-------------:| -----:|
-| 0 | Linear |
-| 1 | Chess |
-| 2 | None |
-
-seams_fix_mask_blur
-| Value         |  |
-|:-------------:| -----:|
-| 0 | None |
-| 1 | BAND_PASS |
-| 2 | HALF_TILE |
-| 3 | HALF_TILE_PLUS_INTERSECTIONS |
-
-seams_fix_type
-| Value         |  |
-|:-------------:| -----:|
-| 0 | None |
-| 1 | Band pass |
-| 2 | Half tile offset pass |
-| 3 | Half tile offset pass + intersections |
-
-seams_fix_type
-| Value         |  |
-|:-------------:| -----:|
-| 0 | From img2img2 settings |
-| 1 | Custom size |
-| 2 | Scale from image size |
-

ultimate-upscale-for-automatic1111/scripts/ultimate-upscale.py

@@ -1,559 +0,0 @@
-import math
-import gradio as gr
-from PIL import Image, ImageDraw, ImageOps
-from modules import processing, shared, images, devices, scripts
-from modules.processing import StableDiffusionProcessing
-from modules.processing import Processed
-from modules.shared import opts, state
-from enum import Enum
-
-elem_id_prefix = "ultimateupscale"
-
-class USDUMode(Enum):
-    LINEAR = 0
-    CHESS = 1
-    NONE = 2
-
-class USDUSFMode(Enum):
-    NONE = 0
-    BAND_PASS = 1
-    HALF_TILE = 2
-    HALF_TILE_PLUS_INTERSECTIONS = 3
-
-class USDUpscaler():
-
-    def __init__(self, p, image, upscaler_index:int, save_redraw, save_seams_fix, tile_width, tile_height) -> None:
-        self.p:StableDiffusionProcessing = p
-        self.image:Image = image
-        self.scale_factor = math.ceil(max(p.width, p.height) / max(image.width, image.height))
-        self.upscaler = shared.sd_upscalers[upscaler_index]
-        self.redraw = USDURedraw()
-        self.redraw.save = save_redraw
-        self.redraw.tile_width = tile_width if tile_width > 0 else tile_height
-        self.redraw.tile_height = tile_height if tile_height > 0 else tile_width
-        self.seams_fix = USDUSeamsFix()
-        self.seams_fix.save = save_seams_fix
-        self.seams_fix.tile_width = tile_width if tile_width > 0 else tile_height
-        self.seams_fix.tile_height = tile_height if tile_height > 0 else tile_width
-        self.initial_info = None
-        self.rows = math.ceil(self.p.height / self.redraw.tile_height)
-        self.cols = math.ceil(self.p.width / self.redraw.tile_width)
-
-    def get_factor(self, num):
-        # Its just return, don't need elif
-        if num == 1:
-            return 2
-        if num % 4 == 0:
-            return 4
-        if num % 3 == 0:
-            return 3
-        if num % 2 == 0:
-            return 2
-        return 0
-
-    def get_factors(self):
-        scales = []
-        current_scale = 1
-        current_scale_factor = self.get_factor(self.scale_factor)
-        while current_scale_factor == 0:
-            self.scale_factor += 1
-            current_scale_factor = self.get_factor(self.scale_factor)
-        while current_scale < self.scale_factor:
-            current_scale_factor = self.get_factor(self.scale_factor // current_scale)
-            scales.append(current_scale_factor)
-            current_scale = current_scale * current_scale_factor
-            if current_scale_factor == 0:
-                break
-        self.scales = enumerate(scales)
-
-    def upscale(self):
-        # Log info
-        print(f"Canva size: {self.p.width}x{self.p.height}")
-        print(f"Image size: {self.image.width}x{self.image.height}")
-        print(f"Scale factor: {self.scale_factor}")
-        # Check upscaler is not empty
-        if self.upscaler.name == "None":
-            self.image = self.image.resize((self.p.width, self.p.height), resample=Image.LANCZOS)
-            return
-        # Get list with scale factors
-        self.get_factors()
-        # Upscaling image over all factors
-        for index, value in self.scales:
-            print(f"Upscaling iteration {index+1} with scale factor {value}")
-            self.image = self.upscaler.scaler.upscale(self.image, value, self.upscaler.data_path)
-        # Resize image to set values
-        self.image = self.image.resize((self.p.width, self.p.height), resample=Image.LANCZOS)
-
-    def setup_redraw(self, redraw_mode, padding, mask_blur):
-        self.redraw.mode = USDUMode(redraw_mode)
-        self.redraw.enabled = self.redraw.mode != USDUMode.NONE
-        self.redraw.padding = padding
-        self.p.mask_blur = mask_blur
-
-    def setup_seams_fix(self, padding, denoise, mask_blur, width, mode):
-        self.seams_fix.padding = padding
-        self.seams_fix.denoise = denoise
-        self.seams_fix.mask_blur = mask_blur
-        self.seams_fix.width = width
-        self.seams_fix.mode = USDUSFMode(mode)
-        self.seams_fix.enabled = self.seams_fix.mode != USDUSFMode.NONE
-
-    def save_image(self):
-        if type(self.p.prompt) != list:
-            images.save_image(self.image, self.p.outpath_samples, "", self.p.seed, self.p.prompt, opts.samples_format, info=self.initial_info, p=self.p)
-        else:
-            images.save_image(self.image, self.p.outpath_samples, "", self.p.seed, self.p.prompt[0], opts.samples_format, info=self.initial_info, p=self.p)
-
-    def calc_jobs_count(self):
-        redraw_job_count = (self.rows * self.cols) if self.redraw.enabled else 0
-        seams_job_count = 0
-        if self.seams_fix.mode == USDUSFMode.BAND_PASS:
-            seams_job_count = self.rows + self.cols - 2
-        elif self.seams_fix.mode == USDUSFMode.HALF_TILE:
-            seams_job_count = self.rows * (self.cols - 1) + (self.rows - 1) * self.cols
-        elif self.seams_fix.mode == USDUSFMode.HALF_TILE_PLUS_INTERSECTIONS:
-            seams_job_count = self.rows * (self.cols - 1) + (self.rows - 1) * self.cols + (self.rows - 1) * (self.cols - 1)
-
-        state.job_count = redraw_job_count + seams_job_count
-
-    def print_info(self):
-        print(f"Tile size: {self.redraw.tile_width}x{self.redraw.tile_height}")
-        print(f"Tiles amount: {self.rows * self.cols}")
-        print(f"Grid: {self.rows}x{self.cols}")
-        print(f"Redraw enabled: {self.redraw.enabled}")
-        print(f"Seams fix mode: {self.seams_fix.mode.name}")
-
-    def add_extra_info(self):
-        self.p.extra_generation_params["Ultimate SD upscale upscaler"] = self.upscaler.name
-        self.p.extra_generation_params["Ultimate SD upscale tile_width"] = self.redraw.tile_width
-        self.p.extra_generation_params["Ultimate SD upscale tile_height"] = self.redraw.tile_height
-        self.p.extra_generation_params["Ultimate SD upscale mask_blur"] = self.p.mask_blur
-        self.p.extra_generation_params["Ultimate SD upscale padding"] = self.redraw.padding
-
-    def process(self):
-        state.begin()
-        self.calc_jobs_count()
-        self.result_images = []
-        if self.redraw.enabled:
-            self.image = self.redraw.start(self.p, self.image, self.rows, self.cols)
-            self.initial_info = self.redraw.initial_info
-        self.result_images.append(self.image)
-        if self.redraw.save:
-            self.save_image()
-
-        if self.seams_fix.enabled:
-            self.image = self.seams_fix.start(self.p, self.image, self.rows, self.cols)
-            self.initial_info = self.seams_fix.initial_info
-            self.result_images.append(self.image)
-            if self.seams_fix.save:
-                self.save_image()
-        state.end()
-
-class USDURedraw():
-
-    def init_draw(self, p, width, height):
-        p.inpaint_full_res = True
-        p.inpaint_full_res_padding = self.padding
-        p.width = math.ceil((self.tile_width+self.padding) / 64) * 64
-        p.height = math.ceil((self.tile_height+self.padding) / 64) * 64
-        mask = Image.new("L", (width, height), "black")
-        draw = ImageDraw.Draw(mask)
-        return mask, draw
-
-    def calc_rectangle(self, xi, yi):
-        x1 = xi * self.tile_width
-        y1 = yi * self.tile_height
-        x2 = xi * self.tile_width + self.tile_width
-        y2 = yi * self.tile_height + self.tile_height
-
-        return x1, y1, x2, y2
-
-    def linear_process(self, p, image, rows, cols):
-        mask, draw = self.init_draw(p, image.width, image.height)
-        for yi in range(rows):
-            for xi in range(cols):
-                if state.interrupted:
-                    break
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="white")
-                p.init_images = [image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="black")
-                if (len(processed.images) > 0):
-                    image = processed.images[0]
-
-        p.width = image.width
-        p.height = image.height
-        self.initial_info = processed.infotext(p, 0)
-
-        return image
-
-    def chess_process(self, p, image, rows, cols):
-        mask, draw = self.init_draw(p, image.width, image.height)
-        tiles = []
-        # calc tiles colors
-        for yi in range(rows):
-            for xi in range(cols):
-                if state.interrupted:
-                    break
-                if xi == 0:
-                    tiles.append([])
-                color = xi % 2 == 0
-                if yi > 0 and yi % 2 != 0:
-                    color = not color
-                tiles[yi].append(color)
-
-        for yi in range(len(tiles)):
-            for xi in range(len(tiles[yi])):
-                if state.interrupted:
-                    break
-                if not tiles[yi][xi]:
-                    tiles[yi][xi] = not tiles[yi][xi]
-                    continue
-                tiles[yi][xi] = not tiles[yi][xi]
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="white")
-                p.init_images = [image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="black")
-                if (len(processed.images) > 0):
-                    image = processed.images[0]
-
-        for yi in range(len(tiles)):
-            for xi in range(len(tiles[yi])):
-                if state.interrupted:
-                    break
-                if not tiles[yi][xi]:
-                    continue
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="white")
-                p.init_images = [image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                draw.rectangle(self.calc_rectangle(xi, yi), fill="black")
-                if (len(processed.images) > 0):
-                    image = processed.images[0]
-
-        p.width = image.width
-        p.height = image.height
-        self.initial_info = processed.infotext(p, 0)
-
-        return image
-
-    def start(self, p, image, rows, cols):
-        self.initial_info = None
-        if self.mode == USDUMode.LINEAR:
-            return self.linear_process(p, image, rows, cols)
-        if self.mode == USDUMode.CHESS:
-            return self.chess_process(p, image, rows, cols)
-
-class USDUSeamsFix():
-
-    def init_draw(self, p):
-        self.initial_info = None
-        p.width = math.ceil((self.tile_width+self.padding) / 64) * 64
-        p.height = math.ceil((self.tile_height+self.padding) / 64) * 64
-
-    def half_tile_process(self, p, image, rows, cols):
-
-        self.init_draw(p)
-        processed = None
-
-        gradient = Image.linear_gradient("L")
-        row_gradient = Image.new("L", (self.tile_width, self.tile_height), "black")
-        row_gradient.paste(gradient.resize(
-            (self.tile_width, self.tile_height//2), resample=Image.BICUBIC), (0, 0))
-        row_gradient.paste(gradient.rotate(180).resize(
-                (self.tile_width, self.tile_height//2), resample=Image.BICUBIC),
-                (0, self.tile_height//2))
-        col_gradient = Image.new("L", (self.tile_width, self.tile_height), "black")
-        col_gradient.paste(gradient.rotate(90).resize(
-            (self.tile_width//2, self.tile_height), resample=Image.BICUBIC), (0, 0))
-        col_gradient.paste(gradient.rotate(270).resize(
-            (self.tile_width//2, self.tile_height), resample=Image.BICUBIC), (self.tile_width//2, 0))
-
-        p.denoising_strength = self.denoise
-        p.mask_blur = self.mask_blur
-
-        for yi in range(rows-1):
-            for xi in range(cols):
-                if state.interrupted:
-                    break
-                p.width = self.tile_width
-                p.height = self.tile_height
-                p.inpaint_full_res = True
-                p.inpaint_full_res_padding = self.padding
-                mask = Image.new("L", (image.width, image.height), "black")
-                mask.paste(row_gradient, (xi*self.tile_width, yi*self.tile_height + self.tile_height//2))
-
-                p.init_images = [image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                if (len(processed.images) > 0):
-                    image = processed.images[0]
-
-        for yi in range(rows):
-            for xi in range(cols-1):
-                if state.interrupted:
-                    break
-                p.width = self.tile_width
-                p.height = self.tile_height
-                p.inpaint_full_res = True
-                p.inpaint_full_res_padding = self.padding
-                mask = Image.new("L", (image.width, image.height), "black")
-                mask.paste(col_gradient, (xi*self.tile_width+self.tile_width//2, yi*self.tile_height))
-
-                p.init_images = [image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                if (len(processed.images) > 0):
-                    image = processed.images[0]
-
-        p.width = image.width
-        p.height = image.height
-        if processed is not None:
-            self.initial_info = processed.infotext(p, 0)
-
-        return image
-
-    def half_tile_process_corners(self, p, image, rows, cols):
-        fixed_image = self.half_tile_process(p, image, rows, cols)
-        processed = None
-        self.init_draw(p)
-        gradient = Image.radial_gradient("L").resize(
-            (self.tile_width, self.tile_height), resample=Image.BICUBIC)
-        gradient = ImageOps.invert(gradient)
-        p.denoising_strength = self.denoise
-        #p.mask_blur = 0
-        p.mask_blur = self.mask_blur
-
-        for yi in range(rows-1):
-            for xi in range(cols-1):
-                if state.interrupted:
-                    break
-                p.width = self.tile_width
-                p.height = self.tile_height
-                p.inpaint_full_res = True
-                p.inpaint_full_res_padding = 0
-                mask = Image.new("L", (fixed_image.width, fixed_image.height), "black")
-                mask.paste(gradient, (xi*self.tile_width + self.tile_width//2,
-                                      yi*self.tile_height + self.tile_height//2))
-
-                p.init_images = [fixed_image]
-                p.image_mask = mask
-                processed = processing.process_images(p)
-                if (len(processed.images) > 0):
-                    fixed_image = processed.images[0]
-
-        p.width = fixed_image.width
-        p.height = fixed_image.height
-        if processed is not None:
-            self.initial_info = processed.infotext(p, 0)
-
-        return fixed_image
-
-    def band_pass_process(self, p, image, cols, rows):
-
-        self.init_draw(p)
-        processed = None
-
-        p.denoising_strength = self.denoise
-        p.mask_blur = 0
-
-        gradient = Image.linear_gradient("L")
-        mirror_gradient = Image.new("L", (256, 256), "black")
-        mirror_gradient.paste(gradient.resize((256, 128), resample=Image.BICUBIC), (0, 0))
-        mirror_gradient.paste(gradient.rotate(180).resize((256, 128), resample=Image.BICUBIC), (0, 128))
-
-        row_gradient = mirror_gradient.resize((image.width, self.width), resample=Image.BICUBIC)
-        col_gradient = mirror_gradient.rotate(90).resize((self.width, image.height), resample=Image.BICUBIC)
-
-        for xi in range(1, rows):
-            if state.interrupted:
-                    break
-            p.width = self.width + self.padding * 2
-            p.height = image.height
-            p.inpaint_full_res = True
-            p.inpaint_full_res_padding = self.padding
-            mask = Image.new("L", (image.width, image.height), "black")
-            mask.paste(col_gradient, (xi * self.tile_width - self.width // 2, 0))
-
-            p.init_images = [image]
-            p.image_mask = mask
-            processed = processing.process_images(p)
-            if (len(processed.images) > 0):
-                image = processed.images[0]
-        for yi in range(1, cols):
-            if state.interrupted:
-                    break
-            p.width = image.width
-            p.height = self.width + self.padding * 2
-            p.inpaint_full_res = True
-            p.inpaint_full_res_padding = self.padding
-            mask = Image.new("L", (image.width, image.height), "black")
-            mask.paste(row_gradient, (0, yi * self.tile_height - self.width // 2))
-
-            p.init_images = [image]
-            p.image_mask = mask
-            processed = processing.process_images(p)
-            if (len(processed.images) > 0):
-                image = processed.images[0]
-
-        p.width = image.width
-        p.height = image.height
-        if processed is not None:
-            self.initial_info = processed.infotext(p, 0)
-
-        return image
-
-    def start(self, p, image, rows, cols):
-        if USDUSFMode(self.mode) == USDUSFMode.BAND_PASS:
-            return self.band_pass_process(p, image, rows, cols)
-        elif USDUSFMode(self.mode) == USDUSFMode.HALF_TILE:
-            return self.half_tile_process(p, image, rows, cols)
-        elif USDUSFMode(self.mode) == USDUSFMode.HALF_TILE_PLUS_INTERSECTIONS:
-            return self.half_tile_process_corners(p, image, rows, cols)
-        else:
-            return image
-
-class Script(scripts.Script):
-    def title(self):
-        return "Ultimate SD upscale"
-
-    def show(self, is_img2img):
-        return is_img2img
-
-    def ui(self, is_img2img):
-
-        target_size_types = [
-            "From img2img2 settings",
-            "Custom size",
-            "Scale from image size"
-        ]
-
-        seams_fix_types = [
-            "None",
-            "Band pass",
-            "Half tile offset pass",
-            "Half tile offset pass + intersections"
-        ]
-
-        redrow_modes = [
-            "Linear",
-            "Chess",
-            "None"
-        ]
-
-        info = gr.HTML(
-            "<p style=\"margin-bottom:0.75em\">Will upscale the image depending on the selected target size type</p>")
-
-        with gr.Row():
-            target_size_type = gr.Dropdown(label="Target size type", elem_id=f"{elem_id_prefix}_target_size_type", choices=[k for k in target_size_types], type="index",
-                                  value=next(iter(target_size_types)))
-
-            custom_width = gr.Slider(label='Custom width', elem_id=f"{elem_id_prefix}_custom_width", minimum=64, maximum=8192, step=64, value=2048, visible=False, interactive=True)
-            custom_height = gr.Slider(label='Custom height', elem_id=f"{elem_id_prefix}_custom_height", minimum=64, maximum=8192, step=64, value=2048, visible=False, interactive=True)
-            custom_scale = gr.Slider(label='Scale', elem_id=f"{elem_id_prefix}_custom_scale", minimum=1, maximum=16, step=0.01, value=2, visible=False, interactive=True)
-
-        gr.HTML("<p style=\"margin-bottom:0.75em\">Redraw options:</p>")
-        with gr.Row():
-            upscaler_index = gr.Radio(label='Upscaler', elem_id=f"{elem_id_prefix}_upscaler_index", choices=[x.name for x in shared.sd_upscalers],
-                                value=shared.sd_upscalers[0].name, type="index")
-        with gr.Row():
-            redraw_mode = gr.Dropdown(label="Type", elem_id=f"{elem_id_prefix}_redraw_mode", choices=[k for k in redrow_modes], type="index", value=next(iter(redrow_modes)))
-            tile_width = gr.Slider(elem_id=f"{elem_id_prefix}_tile_width", minimum=0, maximum=2048, step=64, label='Tile width', value=512)
-            tile_height = gr.Slider(elem_id=f"{elem_id_prefix}_tile_height", minimum=0, maximum=2048, step=64, label='Tile height', value=0)
-            mask_blur = gr.Slider(elem_id=f"{elem_id_prefix}_mask_blur", label='Mask blur', minimum=0, maximum=64, step=1, value=8)
-            padding = gr.Slider(elem_id=f"{elem_id_prefix}_padding", label='Padding', minimum=0, maximum=512, step=1, value=32)
-        gr.HTML("<p style=\"margin-bottom:0.75em\">Seams fix:</p>")
-        with gr.Row():
-            seams_fix_type = gr.Dropdown(label="Type", elem_id=f"{elem_id_prefix}_seams_fix_type", choices=[k for k in seams_fix_types], type="index", value=next(iter(seams_fix_types)))
-            seams_fix_denoise = gr.Slider(label='Denoise', elem_id=f"{elem_id_prefix}_seams_fix_denoise", minimum=0, maximum=1, step=0.01, value=0.35, visible=False, interactive=True)
-            seams_fix_width = gr.Slider(label='Width', elem_id=f"{elem_id_prefix}_seams_fix_width", minimum=0, maximum=128, step=1, value=64, visible=False, interactive=True)
-            seams_fix_mask_blur = gr.Slider(label='Mask blur', elem_id=f"{elem_id_prefix}_seams_fix_mask_blur", minimum=0, maximum=64, step=1, value=4, visible=False, interactive=True)
-            seams_fix_padding = gr.Slider(label='Padding', elem_id=f"{elem_id_prefix}_seams_fix_padding", minimum=0, maximum=128, step=1, value=16, visible=False, interactive=True)
-        gr.HTML("<p style=\"margin-bottom:0.75em\">Save options:</p>")
-        with gr.Row():
-            save_upscaled_image = gr.Checkbox(label="Upscaled", elem_id=f"{elem_id_prefix}_save_upscaled_image", value=True)
-            save_seams_fix_image = gr.Checkbox(label="Seams fix", elem_id=f"{elem_id_prefix}_save_seams_fix_image", value=False)
-
-        def select_fix_type(fix_index):
-            all_visible = fix_index != 0
-            mask_blur_visible = fix_index == 2 or fix_index == 3
-            width_visible = fix_index == 1
-
-            return [gr.update(visible=all_visible),
-                    gr.update(visible=width_visible),
-                    gr.update(visible=mask_blur_visible),
-                    gr.update(visible=all_visible)]
-
-        seams_fix_type.change(
-            fn=select_fix_type,
-            inputs=seams_fix_type,
-            outputs=[seams_fix_denoise, seams_fix_width, seams_fix_mask_blur, seams_fix_padding]
-        )
-
-        def select_scale_type(scale_index):
-            is_custom_size = scale_index == 1
-            is_custom_scale = scale_index == 2
-
-            return [gr.update(visible=is_custom_size),
-                    gr.update(visible=is_custom_size),
-                    gr.update(visible=is_custom_scale),
-                    ]
-
-        target_size_type.change(
-            fn=select_scale_type,
-            inputs=target_size_type,
-            outputs=[custom_width, custom_height, custom_scale]
-        )
-
-        return [info, tile_width, tile_height, mask_blur, padding, seams_fix_width, seams_fix_denoise, seams_fix_padding,
-                upscaler_index, save_upscaled_image, redraw_mode, save_seams_fix_image, seams_fix_mask_blur,
-                seams_fix_type, target_size_type, custom_width, custom_height, custom_scale]
-
-    def run(self, p, _, tile_width, tile_height, mask_blur, padding, seams_fix_width, seams_fix_denoise, seams_fix_padding,
-            upscaler_index, save_upscaled_image, redraw_mode, save_seams_fix_image, seams_fix_mask_blur,
-            seams_fix_type, target_size_type, custom_width, custom_height, custom_scale):
-
-        # Init
-        processing.fix_seed(p)
-        devices.torch_gc()
-
-        p.do_not_save_grid = True
-        p.do_not_save_samples = True
-        p.inpaint_full_res = False
-
-        p.inpainting_fill = 1
-        p.n_iter = 1
-        p.batch_size = 1
-
-        seed = p.seed
-
-        # Init image
-        init_img = p.init_images[0]
-        if init_img == None:
-            return Processed(p, [], seed, "Empty image")
-        init_img = images.flatten(init_img, opts.img2img_background_color)
-
-        #override size
-        if target_size_type == 1:
-            p.width = custom_width
-            p.height = custom_height
-        if target_size_type == 2:
-            p.width = math.ceil((init_img.width * custom_scale) / 64) * 64
-            p.height = math.ceil((init_img.height * custom_scale) / 64) * 64
-
-        # Upscaling
-        upscaler = USDUpscaler(p, init_img, upscaler_index, save_upscaled_image, save_seams_fix_image, tile_width, tile_height)
-        upscaler.upscale()
-        
-        # Drawing
-        upscaler.setup_redraw(redraw_mode, padding, mask_blur)
-        upscaler.setup_seams_fix(seams_fix_padding, seams_fix_denoise, seams_fix_mask_blur, seams_fix_width, seams_fix_type)
-        upscaler.print_info()
-        upscaler.add_extra_info()
-        upscaler.process()
-        result_images = upscaler.result_images
-
-        return Processed(p, result_images, seed, upscaler.initial_info if upscaler.initial_info is not None else "")
-