Merge pull request #11325 from stablegeniusdiffuser/dev-batch-grid-metadata

    return res

    return res

def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0):

def create_infotext(p, all_prompts, all_seeds, all_subseeds, comments=None, iteration=0, position_in_batch=0, use_main_prompt=False):

    index = position_in_batch + iteration * p.batch_size

    index = position_in_batch + iteration * p.batch_size

    clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers)

    clip_skip = getattr(p, 'clip_skip', opts.CLIP_stop_at_last_layers)

    generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None])

    generation_params_text = ", ".join([k if k == v else f'{k}: {generation_parameters_copypaste.quote(v)}' for k, v in generation_params.items() if v is not None])

    prompt_text = p.prompt if use_main_prompt else all_prompts[index]

    negative_prompt_text = f"\nNegative prompt: {p.all_negative_prompts[index]}" if p.all_negative_prompts[index] else ""

    negative_prompt_text = f"\nNegative prompt: {p.all_negative_prompts[index]}" if p.all_negative_prompts[index] else ""

    return f"{all_prompts[index]}{negative_prompt_text}\n{generation_params_text}".strip()

    return f"{prompt_text}{negative_prompt_text}\n{generation_params_text}".strip()

def process_images(p: StableDiffusionProcessing) -> Processed:

def process_images(p: StableDiffusionProcessing) -> Processed:

    else:

    else:

        p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]

        p.all_subseeds = [int(subseed) + x for x in range(len(p.all_prompts))]

    def infotext(iteration=0, position_in_batch=0):

    def infotext(iteration=0, position_in_batch=0, use_main_prompt=False):

        return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch)

        return create_infotext(p, p.all_prompts, p.all_seeds, p.all_subseeds, comments, iteration, position_in_batch, use_main_prompt)

    if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:

    if os.path.exists(cmd_opts.embeddings_dir) and not p.do_not_reload_embeddings:

        model_hijack.embedding_db.load_textual_inversion_embeddings()

        model_hijack.embedding_db.load_textual_inversion_embeddings()

            grid = images.image_grid(output_images, p.batch_size)

            grid = images.image_grid(output_images, p.batch_size)

            if opts.return_grid:

            if opts.return_grid:

                text = infotext()

                text = infotext(use_main_prompt=True)

                infotexts.insert(0, text)

                infotexts.insert(0, text)

                if opts.enable_pnginfo:

                if opts.enable_pnginfo:

                    grid.info["parameters"] = text

                    grid.info["parameters"] = text

                index_of_first_image = 1

                index_of_first_image = 1

            if opts.grid_save:

            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(), short_filename=not opts.grid_extended_filename, p=p, grid=True)

                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)

    if not p.disable_extra_networks and p.extra_network_data:

    if not p.disable_extra_networks and p.extra_network_data:

        extra_networks.deactivate(p, p.extra_network_data)

        extra_networks.deactivate(p, p.extra_network_data)