147 lines
5.6 KiB
Python
147 lines
5.6 KiB
Python
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, elem_id=self.elem_id("pixels"))
|
|
mask_blur = gr.Slider(label='Mask blur', minimum=0, maximum=64, step=1, value=4, elem_id=self.elem_id("mask_blur"))
|
|
inpainting_fill = gr.Radio(label='Masked content', choices=['fill', 'original', 'latent noise', 'latent nothing'], value='fill', type="index", elem_id=self.elem_id("inpainting_fill"))
|
|
direction = gr.CheckboxGroup(label="Outpainting direction", choices=['left', 'right', 'up', 'down'], value=['left', 'right', 'up', 'down'], elem_id=self.elem_id("direction"))
|
|
|
|
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.samples_format, info=initial_info, p=p)
|
|
|
|
processed = Processed(p, [combined_image], initial_seed, initial_info)
|
|
|
|
return processed
|
|
|