Option to not save incomplete images

        return x.new_zeros(x.shape[0], 5, 1, 1, dtype=x.dtype, device=x.device)

def save_images_if_interrupted():

    return not (opts.dont_save_interrupted_images and (state.interrupted or state.skipped))

class StableDiffusionProcessing:

    """

    The first set of paramaters: sd_models -> do_not_reload_embeddings represent the minimum required to create a StableDiffusionProcessing

            def infotext(index=0, use_main_prompt=False):

                return create_infotext(p, p.prompts, p.seeds, p.subseeds, use_main_prompt=use_main_prompt, index=index, all_negative_prompts=p.negative_prompts)

            save_images_if_interrupt = save_images_if_interrupted()

            for i, x_sample in enumerate(x_samples_ddim):

                p.batch_index = i

                x_sample = x_sample.astype(np.uint8)

                if p.restore_faces:

                    if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration:

                    if opts.save and not p.do_not_save_samples and opts.save_images_before_face_restoration and save_images_if_interrupt:

                        images.save_image(Image.fromarray(x_sample), p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-face-restoration")

                    devices.torch_gc()

                    pp = scripts.PostprocessImageArgs(image)

                    p.scripts.postprocess_image(p, pp)

                    image = pp.image

                if p.color_corrections is not None and i < len(p.color_corrections):

                    if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction:

                    if opts.save and not p.do_not_save_samples and opts.save_images_before_color_correction and save_images_if_interrupt:

                        image_without_cc = apply_overlay(image, p.paste_to, i, p.overlay_images)

                        images.save_image(image_without_cc, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p, suffix="-before-color-correction")

                    image = apply_color_correction(p.color_corrections[i], image)

                image = apply_overlay(image, p.paste_to, i, p.overlay_images)

                if opts.samples_save and not p.do_not_save_samples:

                if opts.samples_save and not p.do_not_save_samples and save_images_if_interrupt:

                    images.save_image(image, p.outpath_samples, "", p.seeds[i], p.prompts[i], opts.samples_format, info=infotext(i), p=p)

                text = infotext(i)

                if opts.enable_pnginfo:

                    image.info["parameters"] = text

                output_images.append(image)

                if hasattr(p, 'mask_for_overlay') and p.mask_for_overlay and any([opts.save_mask, opts.save_mask_composite, opts.return_mask, opts.return_mask_composite]):

                if hasattr(p, 'mask_for_overlay') and p.mask_for_overlay and any([opts.save_mask, opts.save_mask_composite, opts.return_mask, opts.return_mask_composite]) and save_images_if_interrupt:

                    image_mask = p.mask_for_overlay.convert('RGB')

                    image_mask_composite = Image.composite(image.convert('RGBA').convert('RGBa'), Image.new('RGBa', image.size), images.resize_image(2, p.mask_for_overlay, image.width, image.height).convert('L')).convert('RGBA')

                    grid.info["parameters"] = text

                output_images.insert(0, grid)

                index_of_first_image = 1

            if opts.grid_save:

                images.save_image(grid, p.outpath_grids, "grid", p.all_seeds[0], p.all_prompts[0], opts.grid_format, info=infotext(use_main_prompt=True), short_filename=not opts.grid_extended_filename, p=p, grid=True)

        def save_intermediate(image, index):

            """saves image before applying hires fix, if enabled in options; takes as an argument either an image or batch with latent space images"""

            if not opts.save or self.do_not_save_samples or not opts.save_images_before_highres_fix:

            if not opts.save or self.do_not_save_samples or not opts.save_images_before_highres_fix or not save_images_if_interrupted():

                return

            if not isinstance(image, Image.Image):

    "temp_dir":  OptionInfo("", "Directory for temporary images; leave empty for default"),

    "clean_temp_dir_at_start": OptionInfo(False, "Cleanup non-default temporary directory when starting webui"),

    "dont_save_interrupted_images": OptionInfo(False, "Don't save incomplete images").info("Don't save images that has been interrupted in mid-generation, they will still show up in webui output."),

}))

options_templates.update(options_section(('saving-paths', "Paths for saving"), {