import math import modules.scripts as scripts import gradio as gr from PIL import Image, ImageDraw from modules import images, processing, devices from modules.processing import Processed, process_images from modules.shared import opts, cmd_opts, state class Script(scripts.Script): def title(self): return "Poor man's outpainting" def show(self, is_img2img): return is_img2img def ui(self, is_img2img): if not is_img2img: return None pixels = gr.Slider(label="Pixels to expand", minimum=8, maximum=256, step=8, value=128) mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, visible=False) inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", visible=False) direction = gr.CheckboxGroup(label="Outpainting direction", choices=['left', 'right', 'up', 'down'], value=['left', 'right', 'up', 'down']) return [pixels, mask_blur, inpainting_fill, direction] def run(self, p, pixels, mask_blur, inpainting_fill, direction): initial_seed = None initial_info = None p.mask_blur = mask_blur * 2 p.inpainting_fill = inpainting_fill p.inpaint_full_res = False left = pixels if "left" in direction else 0 right = pixels if "right" in direction else 0 up = pixels if "up" in direction else 0 down = pixels if "down" in direction else 0 init_img = p.init_images[0] target_w = math.ceil((init_img.width + left + right) / 64) * 64 target_h = math.ceil((init_img.height + up + down) / 64) * 64 if left > 0: left = left * (target_w - init_img.width) // (left + right) if right > 0: right = target_w - init_img.width - left if up > 0: up = up * (target_h - init_img.height) // (up + down) if down > 0: down = target_h - init_img.height - up img = Image.new("RGB", (target_w, target_h)) img.paste(init_img, (left, up)) mask = Image.new("L", (img.width, img.height), "white") draw = ImageDraw.Draw(mask) draw.rectangle(( left + (mask_blur * 2 if left > 0 else 0), up + (mask_blur * 2 if up > 0 else 0), mask.width - right - (mask_blur * 2 if right > 0 else 0), mask.height - down - (mask_blur * 2 if down > 0 else 0) ), fill="black") latent_mask = Image.new("L", (img.width, img.height), "white") latent_draw = ImageDraw.Draw(latent_mask) latent_draw.rectangle(( left + (mask_blur//2 if left > 0 else 0), up + (mask_blur//2 if up > 0 else 0), mask.width - right - (mask_blur//2 if right > 0 else 0), mask.height - down - (mask_blur//2 if down > 0 else 0) ), fill="black") devices.torch_gc() grid = images.split_grid(img, tile_w=p.width, tile_h=p.height, overlap=pixels) grid_mask = images.split_grid(mask, tile_w=p.width, tile_h=p.height, overlap=pixels) grid_latent_mask = images.split_grid(latent_mask, tile_w=p.width, tile_h=p.height, overlap=pixels) p.n_iter = 1 p.batch_size = 1 p.do_not_save_grid = True p.do_not_save_samples = True work = [] work_mask = [] work_latent_mask = [] work_results = [] for (y, h, row), (_, _, row_mask), (_, _, row_latent_mask) in zip(grid.tiles, grid_mask.tiles, grid_latent_mask.tiles): for tiledata, tiledata_mask, tiledata_latent_mask in zip(row, row_mask, row_latent_mask): x, w = tiledata[0:2] if x >= left and x+w <= img.width - right and y >= up and y+h <= img.height - down: continue work.append(tiledata[2]) work_mask.append(tiledata_mask[2]) work_latent_mask.append(tiledata_latent_mask[2]) batch_count = len(work) print(f"Poor man's outpainting will process a total of {len(work)} images tiled as {len(grid.tiles[0][2])}x{len(grid.tiles)}.") state.job_count = batch_count for i in range(batch_count): p.init_images = [work[i]] p.image_mask = work_mask[i] p.latent_mask = work_latent_mask[i] state.job = f"Batch {i + 1} out of {batch_count}" processed = process_images(p) if initial_seed is None: initial_seed = processed.seed initial_info = processed.info p.seed = processed.seed + 1 work_results += processed.images image_index = 0 for y, h, row in grid.tiles: for tiledata in row: x, w = tiledata[0:2] if x >= left and x+w <= img.width - right and y >= up and y+h <= img.height - down: continue tiledata[2] = work_results[image_index] if image_index < len(work_results) else Image.new("RGB", (p.width, p.height)) image_index += 1 combined_image = images.combine_grid(grid) if opts.samples_save: images.save_image(combined_image, p.outpath_samples, "", initial_seed, p.prompt, opts.grid_format, info=initial_info) processed = Processed(p, [combined_image], initial_seed, initial_info) return processed