stable-diffusion-webui/modules/images.py

import datetime
import sys
import traceback

import pytz
import io
import math
import os
from collections import namedtuple
import re

import numpy as np
import piexif
import piexif.helper
from PIL import Image, ImageFont, ImageDraw, PngImagePlugin
from fonts.ttf import Roboto
import string
import json

from modules import sd_samplers, shared, script_callbacks
from modules.shared import opts, cmd_opts

LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)


def image_grid(imgs, batch_size=1, rows=None):
    if rows is None:
        if opts.n_rows > 0:
            rows = opts.n_rows
        elif opts.n_rows == 0:
            rows = batch_size
        elif opts.grid_prevent_empty_spots:
            rows = math.floor(math.sqrt(len(imgs)))
            while len(imgs) % rows != 0:
                rows -= 1
        else:
            rows = math.sqrt(len(imgs))
            rows = round(rows)

    cols = math.ceil(len(imgs) / rows)

    w, h = imgs[0].size
    grid = Image.new('RGB', size=(cols * w, rows * h), color='black')

    for i, img in enumerate(imgs):
        grid.paste(img, box=(i % cols * w, i // cols * h))

    return grid


Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])


def split_grid(image, tile_w=512, tile_h=512, overlap=64):
    w = image.width
    h = image.height

    non_overlap_width = tile_w - overlap
    non_overlap_height = tile_h - overlap

    cols = math.ceil((w - overlap) / non_overlap_width)
    rows = math.ceil((h - overlap) / non_overlap_height)

    dx = (w - tile_w) / (cols - 1) if cols > 1 else 0
    dy = (h - tile_h) / (rows - 1) if rows > 1 else 0

    grid = Grid([], tile_w, tile_h, w, h, overlap)
    for row in range(rows):
        row_images = []

        y = int(row * dy)

        if y + tile_h >= h:
            y = h - tile_h

        for col in range(cols):
            x = int(col * dx)

            if x + tile_w >= w:
                x = w - tile_w

            tile = image.crop((x, y, x + tile_w, y + tile_h))

            row_images.append([x, tile_w, tile])

        grid.tiles.append([y, tile_h, row_images])

    return grid


def combine_grid(grid):
    def make_mask_image(r):
        r = r * 255 / grid.overlap
        r = r.astype(np.uint8)
        return Image.fromarray(r, 'L')

    mask_w = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((1, grid.overlap)).repeat(grid.tile_h, axis=0))
    mask_h = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((grid.overlap, 1)).repeat(grid.image_w, axis=1))

    combined_image = Image.new("RGB", (grid.image_w, grid.image_h))
    for y, h, row in grid.tiles:
        combined_row = Image.new("RGB", (grid.image_w, h))
        for x, w, tile in row:
            if x == 0:
                combined_row.paste(tile, (0, 0))
                continue

            combined_row.paste(tile.crop((0, 0, grid.overlap, h)), (x, 0), mask=mask_w)
            combined_row.paste(tile.crop((grid.overlap, 0, w, h)), (x + grid.overlap, 0))

        if y == 0:
            combined_image.paste(combined_row, (0, 0))
            continue

        combined_image.paste(combined_row.crop((0, 0, combined_row.width, grid.overlap)), (0, y), mask=mask_h)
        combined_image.paste(combined_row.crop((0, grid.overlap, combined_row.width, h)), (0, y + grid.overlap))

    return combined_image


class GridAnnotation:
    def __init__(self, text='', is_active=True):
        self.text = text
        self.is_active = is_active
        self.size = None


def draw_grid_annotations(im, width, height, hor_texts, ver_texts):
    def wrap(drawing, text, font, line_length):
        lines = ['']
        for word in text.split():
            line = f'{lines[-1]} {word}'.strip()
            if drawing.textlength(line, font=font) <= line_length:
                lines[-1] = line
            else:
                lines.append(word)
        return lines

    def draw_texts(drawing, draw_x, draw_y, lines):
        for i, line in enumerate(lines):
            drawing.multiline_text((draw_x, draw_y + line.size[1] / 2), line.text, font=fnt, fill=color_active if line.is_active else color_inactive, anchor="mm", align="center")

            if not line.is_active:
                drawing.line((draw_x - line.size[0] // 2, draw_y + line.size[1] // 2, draw_x + line.size[0] // 2, draw_y + line.size[1] // 2), fill=color_inactive, width=4)

            draw_y += line.size[1] + line_spacing

    fontsize = (width + height) // 25
    line_spacing = fontsize // 2

    try:
        fnt = ImageFont.truetype(opts.font or Roboto, fontsize)
    except Exception:
        fnt = ImageFont.truetype(Roboto, fontsize)

    color_active = (0, 0, 0)
    color_inactive = (153, 153, 153)

    pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in ver_texts]) == 0 else width * 3 // 4

    cols = im.width // width
    rows = im.height // height

    assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}'
    assert rows == len(ver_texts), f'bad number of vertical texts: {len(ver_texts)}; must be {rows}'

    calc_img = Image.new("RGB", (1, 1), "white")
    calc_d = ImageDraw.Draw(calc_img)

    for texts, allowed_width in zip(hor_texts + ver_texts, [width] * len(hor_texts) + [pad_left] * len(ver_texts)):
        items = [] + texts
        texts.clear()

        for line in items:
            wrapped = wrap(calc_d, line.text, fnt, allowed_width)
            texts += [GridAnnotation(x, line.is_active) for x in wrapped]

        for line in texts:
            bbox = calc_d.multiline_textbbox((0, 0), line.text, font=fnt)
            line.size = (bbox[2] - bbox[0], bbox[3] - bbox[1])

    hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in hor_texts]
    ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in
                        ver_texts]

    pad_top = max(hor_text_heights) + line_spacing * 2

    result = Image.new("RGB", (im.width + pad_left, im.height + pad_top), "white")
    result.paste(im, (pad_left, pad_top))

    d = ImageDraw.Draw(result)

    for col in range(cols):
        x = pad_left + width * col + width / 2
        y = pad_top / 2 - hor_text_heights[col] / 2

        draw_texts(d, x, y, hor_texts[col])

    for row in range(rows):
        x = pad_left / 2
        y = pad_top + height * row + height / 2 - ver_text_heights[row] / 2

        draw_texts(d, x, y, ver_texts[row])

    return result


def draw_prompt_matrix(im, width, height, all_prompts):
    prompts = all_prompts[1:]
    boundary = math.ceil(len(prompts) / 2)

    prompts_horiz = prompts[:boundary]
    prompts_vert = prompts[boundary:]

    hor_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_horiz)] for pos in range(1 << len(prompts_horiz))]
    ver_texts = [[GridAnnotation(x, is_active=pos & (1 << i) != 0) for i, x in enumerate(prompts_vert)] for pos in range(1 << len(prompts_vert))]

    return draw_grid_annotations(im, width, height, hor_texts, ver_texts)


def resize_image(resize_mode, im, width, height):
    def resize(im, w, h):
        if opts.upscaler_for_img2img is None or opts.upscaler_for_img2img == "None" or im.mode == 'L':
            return im.resize((w, h), resample=LANCZOS)

        scale = max(w / im.width, h / im.height)

        if scale > 1.0:
            upscalers = [x for x in shared.sd_upscalers if x.name == opts.upscaler_for_img2img]
            assert len(upscalers) > 0, f"could not find upscaler named {opts.upscaler_for_img2img}"

            upscaler = upscalers[0]
            im = upscaler.scaler.upscale(im, scale, upscaler.data_path)

        if im.width != w or im.height != h:
            im = im.resize((w, h), resample=LANCZOS)

        return im

    if resize_mode == 0:
        res = resize(im, width, height)

    elif resize_mode == 1:
        ratio = width / height
        src_ratio = im.width / im.height

        src_w = width if ratio > src_ratio else im.width * height // im.height
        src_h = height if ratio <= src_ratio else im.height * width // im.width

        resized = resize(im, src_w, src_h)
        res = Image.new("RGB", (width, height))
        res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))

    else:
        ratio = width / height
        src_ratio = im.width / im.height

        src_w = width if ratio < src_ratio else im.width * height // im.height
        src_h = height if ratio >= src_ratio else im.height * width // im.width

        resized = resize(im, src_w, src_h)
        res = Image.new("RGB", (width, height))
        res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))

        if ratio < src_ratio:
            fill_height = height // 2 - src_h // 2
            res.paste(resized.resize((width, fill_height), box=(0, 0, width, 0)), box=(0, 0))
            res.paste(resized.resize((width, fill_height), box=(0, resized.height, width, resized.height)), box=(0, fill_height + src_h))
        elif ratio > src_ratio:
            fill_width = width // 2 - src_w // 2
            res.paste(resized.resize((fill_width, height), box=(0, 0, 0, height)), box=(0, 0))
            res.paste(resized.resize((fill_width, height), box=(resized.width, 0, resized.width, height)), box=(fill_width + src_w, 0))

    return res


invalid_filename_chars = '<>:"/\\|?*\n'
invalid_filename_prefix = ' '
invalid_filename_postfix = ' .'
re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)")
re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
max_filename_part_length = 128


def sanitize_filename_part(text, replace_spaces=True):
    if text is None:
        return None

    if replace_spaces:
        text = text.replace(' ', '_')

    text = text.translate({ord(x): '_' for x in invalid_filename_chars})
    text = text.lstrip(invalid_filename_prefix)[:max_filename_part_length]
    text = text.rstrip(invalid_filename_postfix)
    return text


class FilenameGenerator:
    replacements = {
        'seed': lambda self: self.seed if self.seed is not None else '',
        'steps': lambda self:  self.p and self.p.steps,
        'cfg': lambda self: self.p and self.p.cfg_scale,
        'width': lambda self: self.image.width,
        'height': lambda self: self.image.height,
        'styles': lambda self: self.p and sanitize_filename_part(", ".join([style for style in self.p.styles if not style == "None"]) or "None", replace_spaces=False),
        'sampler': lambda self: self.p and sanitize_filename_part(self.p.sampler_name, replace_spaces=False),
        'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
        'model_name': lambda self: sanitize_filename_part(shared.sd_model.sd_checkpoint_info.model_name, replace_spaces=False),
        'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
        'datetime': lambda self, *args: self.datetime(*args),  # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
        'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
        'prompt': lambda self: sanitize_filename_part(self.prompt),
        'prompt_no_styles': lambda self: self.prompt_no_style(),
        'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
        'prompt_words': lambda self: self.prompt_words(),
    }
    default_time_format = '%Y%m%d%H%M%S'

    def __init__(self, p, seed, prompt, image):
        self.p = p
        self.seed = seed
        self.prompt = prompt
        self.image = image

    def prompt_no_style(self):
        if self.p is None or self.prompt is None:
            return None

        prompt_no_style = self.prompt
        for style in shared.prompt_styles.get_style_prompts(self.p.styles):
            if len(style) > 0:
                for part in style.split("{prompt}"):
                    prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')

                prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()

        return sanitize_filename_part(prompt_no_style, replace_spaces=False)

    def prompt_words(self):
        words = [x for x in re_nonletters.split(self.prompt or "") if len(x) > 0]
        if len(words) == 0:
            words = ["empty"]
        return sanitize_filename_part(" ".join(words[0:opts.directories_max_prompt_words]), replace_spaces=False)

    def datetime(self, *args):
        time_datetime = datetime.datetime.now()

        time_format = args[0] if len(args) > 0 and args[0] != "" else self.default_time_format
        try:
            time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
        except pytz.exceptions.UnknownTimeZoneError as _:
            time_zone = None

        time_zone_time = time_datetime.astimezone(time_zone)
        try:
            formatted_time = time_zone_time.strftime(time_format)
        except (ValueError, TypeError) as _:
            formatted_time = time_zone_time.strftime(self.default_time_format)

        return sanitize_filename_part(formatted_time, replace_spaces=False)

    def apply(self, x):
        res = ''

        for m in re_pattern.finditer(x):
            text, pattern = m.groups()
            res += text

            if pattern is None:
                continue

            pattern_args = []
            while True:
                m = re_pattern_arg.match(pattern)
                if m is None:
                    break

                pattern, arg = m.groups()
                pattern_args.insert(0, arg)

            fun = self.replacements.get(pattern.lower())
            if fun is not None:
                try:
                    replacement = fun(self, *pattern_args)
                except Exception:
                    replacement = None
                    print(f"Error adding [{pattern}] to filename", file=sys.stderr)
                    print(traceback.format_exc(), file=sys.stderr)

                if replacement is not None:
                    res += str(replacement)
                    continue

            res += f'[{pattern}]'

        return res


def get_next_sequence_number(path, basename):
    """
    Determines and returns the next sequence number to use when saving an image in the specified directory.

    The sequence starts at 0.
    """
    result = -1
    if basename != '':
        basename = basename + "-"

    prefix_length = len(basename)
    for p in os.listdir(path):
        if p.startswith(basename):
            l = os.path.splitext(p[prefix_length:])[0].split('-')  # splits the filename (removing the basename first if one is defined, so the sequence number is always the first element)
            try:
                result = max(int(l[0]), result)
            except ValueError:
                pass

    return result + 1


def save_image(image, path, basename, seed=None, prompt=None, extension='png', info=None, short_filename=False, no_prompt=False, grid=False, pnginfo_section_name='parameters', p=None, existing_info=None, forced_filename=None, suffix="", save_to_dirs=None):
    """Save an image.

    Args:
        image (`PIL.Image`):
            The image to be saved.
        path (`str`):
            The directory to save the image. Note, the option `save_to_dirs` will make the image to be saved into a sub directory.
        basename (`str`):
            The base filename which will be applied to `filename pattern`.
        seed, prompt, short_filename, 
        extension (`str`):
            Image file extension, default is `png`.
        pngsectionname (`str`):
            Specify the name of the section which `info` will be saved in.
        info (`str` or `PngImagePlugin.iTXt`):
            PNG info chunks.
        existing_info (`dict`):
            Additional PNG info. `existing_info == {pngsectionname: info, ...}`
        no_prompt:
            TODO I don't know its meaning.
        p (`StableDiffusionProcessing`)
        forced_filename (`str`):
            If specified, `basename` and filename pattern will be ignored.
        save_to_dirs (bool):
            If true, the image will be saved into a subdirectory of `path`.

    Returns: (fullfn, txt_fullfn)
        fullfn (`str`):
            The full path of the saved imaged.
        txt_fullfn (`str` or None):
            If a text file is saved for this image, this will be its full path. Otherwise None.
    """
    namegen = FilenameGenerator(p, seed, prompt, image)

    if save_to_dirs is None:
        save_to_dirs = (grid and opts.grid_save_to_dirs) or (not grid and opts.save_to_dirs and not no_prompt)

    if save_to_dirs:
        dirname = namegen.apply(opts.directories_filename_pattern or "[prompt_words]").lstrip(' ').rstrip('\\ /')
        path = os.path.join(path, dirname)

    os.makedirs(path, exist_ok=True)

    if forced_filename is None:
        if short_filename or seed is None:
            file_decoration = ""
        elif opts.save_to_dirs:
            file_decoration = opts.samples_filename_pattern or "[seed]"
        else:
            file_decoration = opts.samples_filename_pattern or "[seed]-[prompt_spaces]"

        add_number = opts.save_images_add_number or file_decoration == ''

        if file_decoration != "" and add_number:
            file_decoration = "-" + file_decoration

        file_decoration = namegen.apply(file_decoration) + suffix

        if add_number:
            basecount = get_next_sequence_number(path, basename)
            fullfn = None
            for i in range(500):
                fn = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
                fullfn = os.path.join(path, f"{fn}{file_decoration}.{extension}")
                if not os.path.exists(fullfn):
                    break
        else:
            fullfn = os.path.join(path, f"{file_decoration}.{extension}")
    else:
        fullfn = os.path.join(path, f"{forced_filename}.{extension}")

    pnginfo = existing_info or {}
    if info is not None:
        pnginfo[pnginfo_section_name] = info

    params = script_callbacks.ImageSaveParams(image, p, fullfn, pnginfo)
    script_callbacks.before_image_saved_callback(params)

    image = params.image
    fullfn = params.filename
    info = params.pnginfo.get(pnginfo_section_name, None)
    fullfn_without_extension, extension = os.path.splitext(params.filename)

    def exif_bytes():
        return piexif.dump({
            "Exif": {
                piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(info or "", encoding="unicode")
            },
        })

    if extension.lower() == '.png':
        pnginfo_data = PngImagePlugin.PngInfo()
        if opts.enable_pnginfo:
            for k, v in params.pnginfo.items():
                pnginfo_data.add_text(k, str(v))

        image.save(fullfn, quality=opts.jpeg_quality, pnginfo=pnginfo_data)

    elif extension.lower() in (".jpg", ".jpeg", ".webp"):
        image.save(fullfn, quality=opts.jpeg_quality)

        if opts.enable_pnginfo and info is not None:
            piexif.insert(exif_bytes(), fullfn)
    else:
        image.save(fullfn, quality=opts.jpeg_quality)

    image.already_saved_as = fullfn

    target_side_length = 4000
    oversize = image.width > target_side_length or image.height > target_side_length
    if opts.export_for_4chan and (oversize or os.stat(fullfn).st_size > 4 * 1024 * 1024):
        ratio = image.width / image.height

        if oversize and ratio > 1:
            image = image.resize((target_side_length, image.height * target_side_length // image.width), LANCZOS)
        elif oversize:
            image = image.resize((image.width * target_side_length // image.height, target_side_length), LANCZOS)

        image.save(fullfn_without_extension + ".jpg", quality=opts.jpeg_quality)
        if opts.enable_pnginfo and info is not None:
            piexif.insert(exif_bytes(), fullfn_without_extension + ".jpg")

    if opts.save_txt and info is not None:
        txt_fullfn = f"{fullfn_without_extension}.txt"
        with open(txt_fullfn, "w", encoding="utf8") as file:
            file.write(info + "\n")
    else:
        txt_fullfn = None

    script_callbacks.image_saved_callback(params)

    return fullfn, txt_fullfn


def read_info_from_image(image):
    items = image.info or {}

    geninfo = items.pop('parameters', None)

    if "exif" in items:
        exif = piexif.load(items["exif"])
        exif_comment = (exif or {}).get("Exif", {}).get(piexif.ExifIFD.UserComment, b'')
        try:
            exif_comment = piexif.helper.UserComment.load(exif_comment)
        except ValueError:
            exif_comment = exif_comment.decode('utf8', errors="ignore")

        items['exif comment'] = exif_comment
        geninfo = exif_comment

        for field in ['jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'dpi', 'exif',
                      'loop', 'background', 'timestamp', 'duration']:
            items.pop(field, None)

    if items.get("Software", None) == "NovelAI":
        try:
            json_info = json.loads(items["Comment"])
            sampler = sd_samplers.samplers_map.get(json_info["sampler"], "Euler a")

            geninfo = f"""{items["Description"]}
Negative prompt: {json_info["uc"]}
Steps: {json_info["steps"]}, Sampler: {sampler}, CFG scale: {json_info["scale"]}, Seed: {json_info["seed"]}, Size: {image.width}x{image.height}, Clip skip: 2, ENSD: 31337"""
        except Exception:
            print(f"Error parsing NovelAI iamge generation parameters:", file=sys.stderr)
            print(traceback.format_exc(), file=sys.stderr)

    return geninfo, items


def image_data(data):
    try:
        image = Image.open(io.BytesIO(data))
        textinfo, _ = read_info_from_image(image)
        return textinfo, None
    except Exception:
        pass

    try:
        text = data.decode('utf8')
        assert len(text) < 10000
        return text, None

    except Exception:
        pass

    return '', None