diff --git a/scripts/outpainting_mk_2.py b/scripts/outpainting_mk_2.py index a6468e09..633dc119 100644 --- a/scripts/outpainting_mk_2.py +++ b/scripts/outpainting_mk_2.py @@ -172,54 +172,54 @@ class Script(scripts.Script): if down > 0: down = target_h - init_img.height - up - init_image = p.init_images[0] - - state.job_count = (1 if left > 0 else 0) + (1 if right > 0 else 0) + (1 if up > 0 else 0) + (1 if down > 0 else 0) - - def expand(init, expand_pixels, is_left=False, is_right=False, is_top=False, is_bottom=False): + def expand(init, count, expand_pixels, is_left=False, is_right=False, is_top=False, is_bottom=False): is_horiz = is_left or is_right is_vert = is_top or is_bottom pixels_horiz = expand_pixels if is_horiz else 0 pixels_vert = expand_pixels if is_vert else 0 - res_w = init.width + pixels_horiz - res_h = init.height + pixels_vert - process_res_w = math.ceil(res_w / 64) * 64 - process_res_h = math.ceil(res_h / 64) * 64 + images_to_process = [] + output_images = [] + for n in range(count): + res_w = init[n].width + pixels_horiz + res_h = init[n].height + pixels_vert + process_res_w = math.ceil(res_w / 64) * 64 + process_res_h = math.ceil(res_h / 64) * 64 - img = Image.new("RGB", (process_res_w, process_res_h)) - img.paste(init, (pixels_horiz if is_left else 0, pixels_vert if is_top else 0)) - mask = Image.new("RGB", (process_res_w, process_res_h), "white") - draw = ImageDraw.Draw(mask) - draw.rectangle(( - expand_pixels + mask_blur if is_left else 0, - expand_pixels + mask_blur if is_top else 0, - mask.width - expand_pixels - mask_blur if is_right else res_w, - mask.height - expand_pixels - mask_blur if is_bottom else res_h, - ), fill="black") + img = Image.new("RGB", (process_res_w, process_res_h)) + img.paste(init[n], (pixels_horiz if is_left else 0, pixels_vert if is_top else 0)) + mask = Image.new("RGB", (process_res_w, process_res_h), "white") + draw = ImageDraw.Draw(mask) + draw.rectangle(( + expand_pixels + mask_blur if is_left else 0, + expand_pixels + mask_blur if is_top else 0, + mask.width - expand_pixels - mask_blur if is_right else res_w, + mask.height - expand_pixels - mask_blur if is_bottom else res_h, + ), fill="black") - np_image = (np.asarray(img) / 255.0).astype(np.float64) - np_mask = (np.asarray(mask) / 255.0).astype(np.float64) - noised = get_matched_noise(np_image, np_mask, noise_q, color_variation) - out = Image.fromarray(np.clip(noised * 255., 0., 255.).astype(np.uint8), mode="RGB") + np_image = (np.asarray(img) / 255.0).astype(np.float64) + np_mask = (np.asarray(mask) / 255.0).astype(np.float64) + noised = get_matched_noise(np_image, np_mask, noise_q, color_variation) + output_images.append(Image.fromarray(np.clip(noised * 255., 0., 255.).astype(np.uint8), mode="RGB")) - target_width = min(process_width, init.width + pixels_horiz) if is_horiz else img.width - target_height = min(process_height, init.height + pixels_vert) if is_vert else img.height + target_width = min(process_width, init[n].width + pixels_horiz) if is_horiz else img.width + target_height = min(process_height, init[n].height + pixels_vert) if is_vert else img.height + p.width = target_width if is_horiz else img.width + p.height = target_height if is_vert else img.height - crop_region = ( - 0 if is_left else out.width - target_width, - 0 if is_top else out.height - target_height, - target_width if is_left else out.width, - target_height if is_top else out.height, - ) + crop_region = ( + 0 if is_left else output_images[n].width - target_width, + 0 if is_top else output_images[n].height - target_height, + target_width if is_left else output_images[n].width, + target_height if is_top else output_images[n].height, + ) + mask = mask.crop(crop_region) + p.image_mask = mask - image_to_process = out.crop(crop_region) - mask = mask.crop(crop_region) + image_to_process = output_images[n].crop(crop_region) + images_to_process.append(image_to_process) - p.width = target_width if is_horiz else img.width - p.height = target_height if is_vert else img.height - p.init_images = [image_to_process] - p.image_mask = mask + p.init_images = images_to_process latent_mask = Image.new("RGB", (p.width, p.height), "white") draw = ImageDraw.Draw(latent_mask) @@ -232,31 +232,52 @@ class Script(scripts.Script): p.latent_mask = latent_mask proc = process_images(p) - proc_img = proc.images[0] if initial_seed_and_info[0] is None: initial_seed_and_info[0] = proc.seed initial_seed_and_info[1] = proc.info - out.paste(proc_img, (0 if is_left else out.width - proc_img.width, 0 if is_top else out.height - proc_img.height)) - out = out.crop((0, 0, res_w, res_h)) - return out + for n in range(count): + output_images[n].paste(proc.images[n], (0 if is_left else output_images[n].width - proc.images[n].width, 0 if is_top else output_images[n].height - proc.images[n].height)) + output_images[n] = output_images[n].crop((0, 0, res_w, res_h)) - img = init_image + return output_images - if left > 0: - img = expand(img, left, is_left=True) - if right > 0: - img = expand(img, right, is_right=True) - if up > 0: - img = expand(img, up, is_top=True) - if down > 0: - img = expand(img, down, is_bottom=True) + batch_count = p.n_iter + batch_size = p.batch_size + p.n_iter = 1 + state.job_count = batch_count * batch_size * ((1 if left > 0 else 0) + (1 if right > 0 else 0) + (1 if up > 0 else 0) + (1 if down > 0 else 0)) + all_processed_images = [] - res = Processed(p, [img], initial_seed_and_info[0], initial_seed_and_info[1]) + for i in range(batch_count): + imgs = [init_img] * batch_size + state.job = f"Batch {i + 1} out of {batch_count}" + + if left > 0: + imgs = expand(imgs, batch_size, left, is_left=True) + if right > 0: + imgs = expand(imgs, batch_size, right, is_right=True) + if up > 0: + imgs = expand(imgs, batch_size, up, is_top=True) + if down > 0: + imgs = expand(imgs, batch_size, down, is_bottom=True) + + all_processed_images += imgs + + all_images = all_processed_images + + combined_grid_image = images.image_grid(all_processed_images) + unwanted_grid_because_of_img_count = len(all_processed_images) < 2 and opts.grid_only_if_multiple + if opts.return_grid and not unwanted_grid_because_of_img_count: + all_images = [combined_grid_image] + all_processed_images + + res = Processed(p, all_images, initial_seed_and_info[0], initial_seed_and_info[1]) if opts.samples_save: - images.save_image(img, p.outpath_samples, "", res.seed, p.prompt, opts.grid_format, info=res.info, p=p) + for img in all_processed_images: + images.save_image(img, p.outpath_samples, "", res.seed, p.prompt, opts.grid_format, info=res.info, p=p) + + if opts.grid_save and not unwanted_grid_because_of_img_count: + images.save_image(combined_grid_image, p.outpath_grids, "grid", res.seed, p.prompt, opts.grid_format, info=res.info, short_filename=not opts.grid_extended_filename, grid=True, p=p) return res -