Merge pull request #10838 from breengles/img2img-batch-processing

import os

from pathlib import Path

import numpy as np

from PIL import Image, ImageOps, ImageFilter, ImageEnhance, ImageChops, UnidentifiedImageError

import modules.scripts

def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args):

def process_batch(p, input_dir, output_dir, inpaint_mask_dir, args, to_scale=False, scale_by=1.0):

    processing.fix_seed(p)

    images = shared.listfiles(input_dir)

            continue

        # Use the EXIF orientation of photos taken by smartphones.

        img = ImageOps.exif_transpose(img)

        if to_scale:

            p.width = int(img.width * scale_by)

            p.height = int(img.height * scale_by)

        p.init_images = [img] * p.batch_size

        image_path = Path(image)

        if is_inpaint_batch:

            # try to find corresponding mask for an image using simple filename matching

            mask_image_path = os.path.join(inpaint_mask_dir, os.path.basename(image))

            # if not found use first one ("same mask for all images" use-case)

            if mask_image_path not in inpaint_masks:

            if len(inpaint_masks) == 1:

                mask_image_path = inpaint_masks[0]

            else:

                # try to find corresponding mask for an image using simple filename matching

                mask_image_dir = Path(inpaint_mask_dir)

                masks_found = list(mask_image_dir.glob(f"{image_path.stem}.*"))

                if len(masks_found) == 0:

                    print(f"Warning: mask is not found for {image_path} in {mask_image_dir}. Skipping it.")

                    continue

                # it should contain only 1 matching mask

                # otherwise user has many masks with the same name but different extensions

                mask_image_path = masks_found[0]

            mask_image = Image.open(mask_image_path)

            p.image_mask = mask_image

            proc = process_images(p)

        for n, processed_image in enumerate(proc.images):

            filename = os.path.basename(image)

            filename = image_path.name

            if n > 0:

                left, right = os.path.splitext(filename)

    if image is not None:

        image = ImageOps.exif_transpose(image)

    if selected_scale_tab == 1:

    if selected_scale_tab == 1 and not is_batch:

        assert image, "Can't scale by because no image is selected"

        width = int(image.width * scale_by)

    if is_batch:

        assert not shared.cmd_opts.hide_ui_dir_config, "Launched with --hide-ui-dir-config, batch img2img disabled"

        process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args)

        process_batch(p, img2img_batch_input_dir, img2img_batch_output_dir, img2img_batch_inpaint_mask_dir, args, to_scale=selected_scale_tab == 1, scale_by=scale_by)

        processed = Processed(p, [], p.seed, "")

    else: