fallback to original file retrieving; skip img if mask not found

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

    processing.fix_seed(p)

    allowed_extensions = [ext for ext, f in Image.registered_extensions().items() if f in Image.OPEN]

    images = list(shared.walk_files(input_dir, allowed_extensions=allowed_extensions))

    images = shared.listfiles(input_dir)

    is_inpaint_batch = False

    if inpaint_mask_dir:

        inpaint_masks = list(shared.walk_files(inpaint_mask_dir, allowed_extensions=allowed_extensions))

        inpaint_masks = shared.listfiles(inpaint_mask_dir)

        is_inpaint_batch = len(inpaint_masks) > 0

    if is_inpaint_batch:

        print(f"\nInpaint batch is enabled. {len(inpaint_masks)} masks found.")

        p.init_images = [img] * p.batch_size

        image_path = Path(image)

        if image_path.parent == Path(input_dir):

            image_subpath = ""

        else:

            image_subpath = str(image_path.parent).replace(f"{input_dir}/", "")

        if is_inpaint_batch:

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

            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).joinpath(image_subpath)

                mask_image_dir = Path(inpaint_mask_dir)

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

                if len(masks_found) == 0:

                    raise ValueError(f"Mask is not found for {image_path} in {mask_image_dir}")

                    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

                filename = f"{left}-{n}{right}"

            if not save_normally:

                os.makedirs(os.path.join(output_dir, image_subpath), exist_ok=True)

                os.makedirs(output_dir, exist_ok=True)

                if processed_image.mode == 'RGBA':

                    processed_image = processed_image.convert("RGB")

                processed_image.save(os.path.join(output_dir, image_subpath, filename))

                processed_image.save(os.path.join(output_dir, filename))

def img2img(id_task: str, mode: int, prompt: str, negative_prompt: str, prompt_styles, init_img, sketch, init_img_with_mask, inpaint_color_sketch, inpaint_color_sketch_orig, init_img_inpaint, init_mask_inpaint, steps: int, sampler_index: int, mask_blur: int, mask_alpha: float, inpainting_fill: int, restore_faces: bool, tiling: bool, n_iter: int, batch_size: int, cfg_scale: float, image_cfg_scale: float, denoising_strength: float, seed: int, subseed: int, subseed_strength: float, seed_resize_from_h: int, seed_resize_from_w: int, seed_enable_extras: bool, selected_scale_tab: int, height: int, width: int, scale_by: float, resize_mode: int, inpaint_full_res: bool, inpaint_full_res_padding: int, inpainting_mask_invert: int, img2img_batch_input_dir: str, img2img_batch_output_dir: str, img2img_batch_inpaint_mask_dir: str, override_settings_texts, *args):