mirror of https://github.com/vladmandic/automatic
688 lines
32 KiB
Python
688 lines
32 KiB
Python
import datetime
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import io
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import re
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import os
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import math
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import json
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import uuid
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import string
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import hashlib
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import queue
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import threading
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from collections import namedtuple
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import pytz
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import numpy as np
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import piexif
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import piexif.helper
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from PIL import Image, ImageFont, ImageDraw, PngImagePlugin, ExifTags
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from modules import sd_samplers, shared, script_callbacks, errors, paths
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LANCZOS = (Image.Resampling.LANCZOS if hasattr(Image, 'Resampling') else Image.LANCZOS)
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def check_grid_size(imgs):
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mp = 0
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for img in imgs:
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mp += img.width * img.height
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mp = round(mp / 1000000)
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ok = mp <= shared.opts.img_max_size_mp
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if not ok:
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shared.log.warning(f'Maximum image size exceded: size={mp} maximum={shared.opts.img_max_size_mp} MPixels')
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return ok
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def image_grid(imgs, batch_size=1, rows=None):
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if rows is None:
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if shared.opts.n_rows > 0:
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rows = shared.opts.n_rows
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elif shared.opts.n_rows == 0:
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rows = batch_size
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elif shared.opts.grid_prevent_empty_spots:
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rows = math.floor(math.sqrt(len(imgs)))
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while len(imgs) % rows != 0:
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rows -= 1
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else:
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rows = math.sqrt(len(imgs))
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rows = round(rows)
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if rows > len(imgs):
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rows = len(imgs)
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cols = math.ceil(len(imgs) / rows)
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params = script_callbacks.ImageGridLoopParams(imgs, cols, rows)
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script_callbacks.image_grid_callback(params)
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w, h = imgs[0].size
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grid = Image.new('RGB', size=(params.cols * w, params.rows * h), color='black')
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for i, img in enumerate(params.imgs):
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grid.paste(img, box=(i % params.cols * w, i // params.cols * h))
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return grid
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Grid = namedtuple("Grid", ["tiles", "tile_w", "tile_h", "image_w", "image_h", "overlap"])
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def split_grid(image, tile_w=512, tile_h=512, overlap=64):
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w = image.width
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h = image.height
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non_overlap_width = tile_w - overlap
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non_overlap_height = tile_h - overlap
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cols = math.ceil((w - overlap) / non_overlap_width)
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rows = math.ceil((h - overlap) / non_overlap_height)
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dx = (w - tile_w) / (cols - 1) if cols > 1 else 0
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dy = (h - tile_h) / (rows - 1) if rows > 1 else 0
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grid = Grid([], tile_w, tile_h, w, h, overlap)
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for row in range(rows):
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row_images = []
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y = int(row * dy)
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if y + tile_h >= h:
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y = h - tile_h
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for col in range(cols):
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x = int(col * dx)
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if x + tile_w >= w:
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x = w - tile_w
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tile = image.crop((x, y, x + tile_w, y + tile_h))
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row_images.append([x, tile_w, tile])
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grid.tiles.append([y, tile_h, row_images])
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return grid
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def combine_grid(grid):
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def make_mask_image(r):
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r = r * 255 / grid.overlap
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r = r.astype(np.uint8)
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return Image.fromarray(r, 'L')
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mask_w = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((1, grid.overlap)).repeat(grid.tile_h, axis=0))
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mask_h = make_mask_image(np.arange(grid.overlap, dtype=np.float32).reshape((grid.overlap, 1)).repeat(grid.image_w, axis=1))
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combined_image = Image.new("RGB", (grid.image_w, grid.image_h))
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for y, h, row in grid.tiles:
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combined_row = Image.new("RGB", (grid.image_w, h))
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for x, w, tile in row:
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if x == 0:
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combined_row.paste(tile, (0, 0))
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continue
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combined_row.paste(tile.crop((0, 0, grid.overlap, h)), (x, 0), mask=mask_w)
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combined_row.paste(tile.crop((grid.overlap, 0, w, h)), (x + grid.overlap, 0))
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if y == 0:
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combined_image.paste(combined_row, (0, 0))
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continue
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combined_image.paste(combined_row.crop((0, 0, combined_row.width, grid.overlap)), (0, y), mask=mask_h)
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combined_image.paste(combined_row.crop((0, grid.overlap, combined_row.width, h)), (0, y + grid.overlap))
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return combined_image
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class GridAnnotation:
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def __init__(self, text='', is_active=True):
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self.text = text
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self.is_active = is_active
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self.size = None
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def draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin=0):
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def wrap(drawing, text, font, line_length):
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lines = ['']
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for word in text.split():
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line = f'{lines[-1]} {word}'.strip()
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if drawing.textlength(line, font=font) <= line_length:
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lines[-1] = line
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else:
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lines.append(word)
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return lines
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def get_font(fontsize):
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try:
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return ImageFont.truetype(shared.opts.font or 'html/roboto.ttf', fontsize)
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except Exception:
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return ImageFont.truetype('html/roboto.ttf', fontsize)
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def draw_texts(drawing, draw_x, draw_y, lines, initial_fnt, initial_fontsize):
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for line in lines:
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fnt = initial_fnt
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fontsize = initial_fontsize
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while drawing.multiline_textsize(line.text, font=fnt)[0] > line.allowed_width and fontsize > 0:
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fontsize -= 1
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fnt = get_font(fontsize)
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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")
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if not line.is_active:
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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)
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draw_y += line.size[1] + line_spacing
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fontsize = (width + height) // 25
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line_spacing = fontsize // 2
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fnt = get_font(fontsize)
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color_active = (0, 0, 0)
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color_inactive = (153, 153, 153)
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pad_left = 0 if sum([sum([len(line.text) for line in lines]) for lines in ver_texts]) == 0 else width * 3 // 4
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cols = im.width // width
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rows = im.height // height
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assert cols == len(hor_texts), f'bad number of horizontal texts: {len(hor_texts)}; must be {cols}'
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assert rows == len(ver_texts), f'bad number of vertical texts: {len(ver_texts)}; must be {rows}'
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calc_img = Image.new("RGB", (1, 1), "white")
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calc_d = ImageDraw.Draw(calc_img)
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for texts, allowed_width in zip(hor_texts + ver_texts, [width] * len(hor_texts) + [pad_left] * len(ver_texts)):
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items = [] + texts
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texts.clear()
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for line in items:
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wrapped = wrap(calc_d, line.text, fnt, allowed_width)
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texts += [GridAnnotation(x, line.is_active) for x in wrapped]
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for line in texts:
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bbox = calc_d.multiline_textbbox((0, 0), line.text, font=fnt)
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line.size = (bbox[2] - bbox[0], bbox[3] - bbox[1])
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line.allowed_width = allowed_width
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hor_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing for lines in hor_texts]
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ver_text_heights = [sum([line.size[1] + line_spacing for line in lines]) - line_spacing * len(lines) for lines in ver_texts]
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pad_top = 0 if sum(hor_text_heights) == 0 else max(hor_text_heights) + line_spacing * 2
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result = Image.new("RGB", (im.width + pad_left + margin * (cols-1), im.height + pad_top + margin * (rows-1)), "white")
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for row in range(rows):
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for col in range(cols):
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cell = im.crop((width * col, height * row, width * (col+1), height * (row+1)))
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result.paste(cell, (pad_left + (width + margin) * col, pad_top + (height + margin) * row))
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d = ImageDraw.Draw(result)
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for col in range(cols):
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x = pad_left + (width + margin) * col + width / 2
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y = pad_top / 2 - hor_text_heights[col] / 2
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draw_texts(d, x, y, hor_texts[col], fnt, fontsize)
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for row in range(rows):
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x = pad_left / 2
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y = pad_top + (height + margin) * row + height / 2 - ver_text_heights[row] / 2
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draw_texts(d, x, y, ver_texts[row], fnt, fontsize)
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return result
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def draw_prompt_matrix(im, width, height, all_prompts, margin=0):
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prompts = all_prompts[1:]
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boundary = math.ceil(len(prompts) / 2)
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prompts_horiz = prompts[:boundary]
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prompts_vert = prompts[boundary:]
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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))]
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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))]
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return draw_grid_annotations(im, width, height, hor_texts, ver_texts, margin)
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def resize_image(resize_mode, im, width, height, upscaler_name=None):
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"""
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Resizes an image with the specified resize_mode, width, and height.
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Args:
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resize_mode: The mode to use when resizing the image.
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0: Resize the image to the specified width and height.
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1: Resize the image to fill the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, cropping the excess.
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2: Resize the image to fit within the specified width and height, maintaining the aspect ratio, and then center the image within the dimensions, filling empty with data from image.
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im: The image to resize.
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width: The width to resize the image to.
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height: The height to resize the image to.
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upscaler_name: The name of the upscaler to use. If not provided, defaults to opts.upscaler_for_img2img.
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"""
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upscaler_name = upscaler_name or shared.opts.upscaler_for_img2img
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def resize(im, w, h):
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if upscaler_name is None or upscaler_name == "None" or im.mode == 'L':
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return im.resize((w, h), resample=LANCZOS)
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scale = max(w / im.width, h / im.height)
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if scale > 1.0:
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upscalers = [x for x in shared.sd_upscalers if x.name == upscaler_name]
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if len(upscalers) == 0:
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upscaler = shared.sd_upscalers[0]
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shared.log.warning(f"Could not find upscaler: {upscaler_name or '<empty string>'} using fallback: {upscaler.name}")
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else:
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upscaler = upscalers[0]
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im = upscaler.scaler.upscale(im, scale, upscaler.data_path)
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if im.width != w or im.height != h:
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im = im.resize((w, h), resample=LANCZOS)
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return im
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if resize_mode == 0:
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res = resize(im, width, height)
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elif resize_mode == 1:
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ratio = width / height
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src_ratio = im.width / im.height
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src_w = width if ratio > src_ratio else im.width * height // im.height
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src_h = height if ratio <= src_ratio else im.height * width // im.width
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resized = resize(im, src_w, src_h)
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res = Image.new("RGB", (width, height))
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res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
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else:
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ratio = width / height
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src_ratio = im.width / im.height
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src_w = width if ratio < src_ratio else im.width * height // im.height
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src_h = height if ratio >= src_ratio else im.height * width // im.width
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resized = resize(im, src_w, src_h)
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res = Image.new("RGB", (width, height))
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res.paste(resized, box=(width // 2 - src_w // 2, height // 2 - src_h // 2))
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if ratio < src_ratio:
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fill_height = height // 2 - src_h // 2
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res.paste(resized.resize((width, fill_height), box=(0, 0, width, 0)), box=(0, 0))
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res.paste(resized.resize((width, fill_height), box=(0, resized.height, width, resized.height)), box=(0, fill_height + src_h))
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elif ratio > src_ratio:
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fill_width = width // 2 - src_w // 2
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res.paste(resized.resize((fill_width, height), box=(0, 0, 0, height)), box=(0, 0))
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res.paste(resized.resize((fill_width, height), box=(resized.width, 0, resized.width, height)), box=(fill_width + src_w, 0))
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return res
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invalid_filename_chars = '<>:"/\\|?*\n'
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invalid_filename_prefix = ' '
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invalid_filename_postfix = ' .'
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re_nonletters = re.compile(r'[\s' + string.punctuation + ']+')
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re_pattern = re.compile(r"(.*?)(?:\[([^\[\]]+)\]|$)")
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re_pattern_arg = re.compile(r"(.*)<([^>]*)>$")
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max_filename_part_length = 128
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NOTHING_AND_SKIP_PREVIOUS_TEXT = object()
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def sanitize_filename_part(text, replace_spaces=True):
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if text is None:
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return None
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text = os.path.basename(text)
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if replace_spaces:
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text = text.replace(' ', '_')
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text = text.replace('#', '_')
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text = text.translate({ord(x): '_' for x in invalid_filename_chars})
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text = text.lstrip(invalid_filename_prefix)[:max_filename_part_length]
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text = text.rstrip(invalid_filename_postfix)
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return text
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class FilenameGenerator:
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replacements = {
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'batch_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.batch_size == 1 else self.p.batch_index + 1,
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'cfg': lambda self: self.p and self.p.cfg_scale,
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'clip_skip': lambda self: self.p and self.p.clip_skip,
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'date': lambda self: datetime.datetime.now().strftime('%Y-%m-%d'),
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'datetime': lambda self, *args: self.datetime(*args), # accepts formats: [datetime], [datetime<Format>], [datetime<Format><Time Zone>]
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'denoising': lambda self: self.p.denoising_strength if self.p and self.p.denoising_strength else NOTHING_AND_SKIP_PREVIOUS_TEXT,
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'generation_number': lambda self: NOTHING_AND_SKIP_PREVIOUS_TEXT if self.p.n_iter == 1 and self.p.batch_size == 1 else self.p.iteration * self.p.batch_size + self.p.batch_index + 1,
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'hasprompt': lambda self, *args: self.hasprompt(*args), # accepts formats:[hasprompt<prompt1|default><prompt2>..]
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'height': lambda self: self.image.height,
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'image_hash': lambda self: self.image_hash(),
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'job_timestamp': lambda self: getattr(self.p, "job_timestamp", shared.state.job_timestamp),
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'model': lambda self: sanitize_filename_part(shared.sd_model.sd_checkpoint_info.name_for_extra, replace_spaces=False),
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'model_shortname': lambda self: sanitize_filename_part(shared.sd_model.sd_checkpoint_info.name_for_extra, replace_spaces=False),
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'model_hash': lambda self: getattr(self.p, "sd_model_hash", shared.sd_model.sd_model_hash),
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'model_name': lambda self: sanitize_filename_part(shared.sd_model.sd_checkpoint_info.model_name, replace_spaces=False),
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'prompt_hash': lambda self: hashlib.sha256(self.prompt.encode()).hexdigest()[0:8],
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'prompt_no_styles': lambda self: self.prompt_no_style(),
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'prompt_spaces': lambda self: sanitize_filename_part(self.prompt, replace_spaces=False),
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'prompt_words': lambda self: self.prompt_words(),
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'prompt': lambda self: sanitize_filename_part(self.prompt),
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'sampler': lambda self: self.p and sanitize_filename_part(self.p.sampler_name, replace_spaces=False),
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'seed': lambda self: self.seed if self.seed is not None else '',
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'steps': lambda self: self.p and self.p.steps,
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'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),
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'uuid': lambda self: str(uuid.uuid4()),
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'width': lambda self: self.image.width,
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}
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default_time_format = '%Y%m%d%H%M%S'
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def __init__(self, p, seed, prompt, image):
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self.p = p
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self.seed = seed
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self.prompt = prompt
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self.image = image
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def hasprompt(self, *args):
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lower = self.prompt.lower()
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if self.p is None or self.prompt is None:
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return None
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outres = ""
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for arg in args:
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if arg != "":
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division = arg.split("|")
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expected = division[0].lower()
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default = division[1] if len(division) > 1 else ""
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if lower.find(expected) >= 0:
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outres = f'{outres}{expected}'
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else:
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outres = outres if default == "" else f'{outres}{default}'
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return sanitize_filename_part(outres)
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def image_hash(self):
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if self.image is None:
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return None
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import base64
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from io import BytesIO
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buffered = BytesIO()
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self.image.save(buffered, format="JPEG")
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img_str = base64.b64encode(buffered.getvalue())
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return hashlib.sha256(img_str).hexdigest()[0:8]
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def prompt_no_style(self):
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if self.p is None or self.prompt is None:
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return None
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prompt_no_style = self.prompt
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for style in shared.prompt_styles.get_style_prompts(self.p.styles):
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if len(style) > 0:
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for part in style.split("{prompt}"):
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prompt_no_style = prompt_no_style.replace(part, "").replace(", ,", ",").strip().strip(',')
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prompt_no_style = prompt_no_style.replace(style, "").strip().strip(',').strip()
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return sanitize_filename_part(prompt_no_style, replace_spaces=False)
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def prompt_words(self):
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words = [x for x in re_nonletters.split(self.prompt or "") if len(x) > 0]
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return sanitize_filename_part(" ".join(words[0:shared.opts.directories_max_prompt_words]), replace_spaces=False)
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def datetime(self, *args):
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time_datetime = datetime.datetime.now()
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time_format = args[0] if len(args) > 0 and args[0] != "" else self.default_time_format
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try:
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time_zone = pytz.timezone(args[1]) if len(args) > 1 else None
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except pytz.exceptions.UnknownTimeZoneError:
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time_zone = None
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time_zone_time = time_datetime.astimezone(time_zone)
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try:
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formatted_time = time_zone_time.strftime(time_format)
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except (ValueError, TypeError):
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formatted_time = time_zone_time.strftime(self.default_time_format)
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return sanitize_filename_part(formatted_time, replace_spaces=False)
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def apply(self, x):
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res = ''
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for m in re_pattern.finditer(x):
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text, pattern = m.groups()
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if pattern is None:
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res += text
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continue
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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 as e:
|
|
replacement = None
|
|
errors.display(e, 'filename pattern')
|
|
if replacement == NOTHING_AND_SKIP_PREVIOUS_TEXT:
|
|
continue
|
|
elif replacement is not None:
|
|
res += text + str(replacement)
|
|
continue
|
|
else:
|
|
res += text + f'[{pattern}]' # reinsert unknown pattern
|
|
res += f'{text}'
|
|
res = res.split('?')[0].strip('-').strip()
|
|
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.
|
|
"""
|
|
result = -1
|
|
if basename != '':
|
|
basename = f"{basename}-"
|
|
prefix_length = len(basename)
|
|
for p in os.listdir(path):
|
|
if p.startswith(basename):
|
|
parts = 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(parts[0]), result)
|
|
except ValueError:
|
|
pass
|
|
return result + 1
|
|
|
|
|
|
def atomically_save_image():
|
|
Image.MAX_IMAGE_PIXELS = None # disable check in Pillow and rely on check below to allow large custom image sizes
|
|
while True:
|
|
image, filename, extension, params, exifinfo, txt_fullfn = save_queue.get()
|
|
fn = filename + extension
|
|
filename = filename.strip()
|
|
if extension[0] != '.': # add dot if missing
|
|
extension = '.' + extension
|
|
try:
|
|
image_format = Image.registered_extensions()[extension]
|
|
except Exception:
|
|
shared.log.warning(f'Unknown image format: {extension}')
|
|
image_format = 'JPEG'
|
|
shared.log.debug(f'Saving image: {image_format} {fn} {image.size}')
|
|
# actual save
|
|
exifinfo = (exifinfo or "") if shared.opts.image_metadata else ""
|
|
if image_format == 'PNG':
|
|
pnginfo_data = PngImagePlugin.PngInfo()
|
|
for k, v in params.pnginfo.items():
|
|
pnginfo_data.add_text(k, str(v))
|
|
image.save(fn, format=image_format, quality=shared.opts.jpeg_quality, pnginfo=pnginfo_data if shared.opts.image_metadata else None)
|
|
elif image_format == 'JPEG':
|
|
if image.mode == 'RGBA':
|
|
shared.log.warning('Saving RGBA image as JPEG: Alpha channel will be lost')
|
|
image = image.convert("RGB")
|
|
elif image.mode == 'I;16':
|
|
image = image.point(lambda p: p * 0.0038910505836576).convert("L")
|
|
exif_bytes = piexif.dump({ "Exif": { piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(exifinfo, encoding="unicode") } })
|
|
image.save(fn, format=image_format, quality=shared.opts.jpeg_quality, exif=exif_bytes)
|
|
elif image_format == 'WEBP':
|
|
if image.mode == 'I;16':
|
|
image = image.point(lambda p: p * 0.0038910505836576).convert("RGB")
|
|
exif_bytes = piexif.dump({ "Exif": { piexif.ExifIFD.UserComment: piexif.helper.UserComment.dump(exifinfo, encoding="unicode") } })
|
|
try:
|
|
image.save(fn, format=image_format, quality=shared.opts.jpeg_quality, lossless=shared.opts.webp_lossless, exif=exif_bytes)
|
|
except Exception as e:
|
|
shared.log.warning(f'Image save failed: {fn} {e}')
|
|
else:
|
|
# shared.log.warning(f'Unrecognized image format: {extension} attempting save as {image_format}')
|
|
try:
|
|
image.save(fn, format=image_format, quality=shared.opts.jpeg_quality)
|
|
except Exception as e:
|
|
shared.log.warning(f'Image save failed: {fn} {e}')
|
|
# additional metadata saved in files
|
|
if shared.opts.save_txt and len(exifinfo) > 0:
|
|
try:
|
|
with open(txt_fullfn, "w", encoding="utf8") as file:
|
|
file.write(f"{exifinfo}\n")
|
|
except Exception as e:
|
|
shared.log.warning(f'Image description save failed: {txt_fullfn} {e}')
|
|
with open(os.path.join(paths.data_path, "params.txt"), "w", encoding="utf8") as file:
|
|
file.write(exifinfo)
|
|
if shared.opts.save_log_fn != '' and len(exifinfo) > 0:
|
|
try:
|
|
with open(os.path.join(paths.data_path, shared.opts.save_log_fn), mode='a+', encoding='utf-8') as f:
|
|
entry = { 'filename': filename, 'time': datetime.datetime.now().isoformat(), 'info': exifinfo }
|
|
json.dump(entry, f)
|
|
f.write(os.linesep)
|
|
shared.log.debug(f'Log file updated: {os.path.join(paths.data_path, shared.opts.save_log_fn)}')
|
|
except Exception as e:
|
|
shared.log.warning(f'Failed to save log file: {shared.opts.save_log_fn} {e}')
|
|
save_queue.task_done()
|
|
|
|
|
|
save_queue = queue.Queue()
|
|
save_thread = threading.Thread(target=atomically_save_image, daemon=True)
|
|
save_thread.start()
|
|
|
|
|
|
def save_image(image, path, basename, seed=None, prompt=None, extension='jpg', 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.
|
|
"""
|
|
if image is None:
|
|
shared.log.warning('Image is none')
|
|
return None, None
|
|
if not check_grid_size([image]):
|
|
return None, None
|
|
if path is None: # set default path to avoid errors when functions are triggered manually or via api and param is not set
|
|
path = shared.opts.outdir_save
|
|
namegen = FilenameGenerator(p, seed, prompt, image)
|
|
if save_to_dirs is None:
|
|
save_to_dirs = (grid and shared.opts.grid_save_to_dirs) or (not grid and shared.opts.save_to_dirs and not no_prompt)
|
|
if save_to_dirs:
|
|
dirname = namegen.apply(shared.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 = ""
|
|
if shared.opts.samples_filename_pattern and len(shared.opts.samples_filename_pattern) > 0:
|
|
file_decoration = shared.opts.samples_filename_pattern
|
|
else:
|
|
file_decoration = "[seq]-[prompt_words]"
|
|
# add_number = shared.opts.save_images_add_number or file_decoration == ''
|
|
# if file_decoration != "" and add_number:
|
|
# file_decoration = f"-{file_decoration}"
|
|
file_decoration = namegen.apply(file_decoration) + suffix
|
|
if shared.opts.save_images_add_number:
|
|
if '[seq]' not in file_decoration:
|
|
file_decoration = f"[seq]-{file_decoration}"
|
|
basecount = get_next_sequence_number(path, basename)
|
|
fullfn = None
|
|
for i in range(9999):
|
|
seq = f"{basecount + i:05}" if basename == '' else f"{basename}-{basecount + i:04}"
|
|
fullfn = os.path.join(path, f"{file_decoration.replace('[seq]', seq)}.{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)
|
|
exifinfo = params.pnginfo.get('UserComment', '')
|
|
if len(exifinfo) > 0:
|
|
exifinfo = exifinfo + ', ' + params.pnginfo.get(pnginfo_section_name, '')
|
|
else:
|
|
exifinfo = params.pnginfo.get(pnginfo_section_name, '')
|
|
filename, extension = os.path.splitext(params.filename)
|
|
if hasattr(os, 'statvfs'):
|
|
max_name_len = os.statvfs(path).f_namemax
|
|
filename = filename[:max_name_len - max(4, len(extension))]
|
|
params.filename = filename + extension
|
|
txt_fullfn = f"{filename}.txt" if shared.opts.save_txt and len(exifinfo) > 0 else None
|
|
|
|
save_queue.put((params.image, filename, extension, params, exifinfo, txt_fullfn))
|
|
save_queue.join()
|
|
# atomically_save_image(params.image, filename, extension, params, exifinfo, txt_fullfn)
|
|
|
|
params.image.already_saved_as = params.filename
|
|
script_callbacks.image_saved_callback(params)
|
|
return params.filename, txt_fullfn
|
|
|
|
|
|
def safe_decode_string(s: bytes):
|
|
remove_prefix = lambda text, prefix: text[len(prefix):] if text.startswith(prefix) else text # pylint: disable=unnecessary-lambda-assignment
|
|
for encoding in ['utf-8', 'utf-16', 'ascii', 'latin_1', 'cp1252', 'cp437']: # try different encodings
|
|
try:
|
|
s = remove_prefix(s, b'UNICODE')
|
|
s = remove_prefix(s, b'ASCII')
|
|
s = remove_prefix(s, b'\x00')
|
|
val = s.decode(encoding, errors="strict")
|
|
val = re.sub(r'[\x00-\x09]', '', val).strip() # remove remaining special characters
|
|
if len(val) == 0: # remove empty strings
|
|
val = None
|
|
return val
|
|
except Exception:
|
|
pass
|
|
return None
|
|
|
|
|
|
def read_info_from_image(image):
|
|
items = image.info or {}
|
|
geninfo = items.pop('parameters', None)
|
|
if geninfo is None:
|
|
geninfo = items.pop('UserComment', None)
|
|
if geninfo is not None and len(geninfo) > 0:
|
|
if 'UserComment' in geninfo:
|
|
geninfo = geninfo['UserComment']
|
|
items['UserComment'] = geninfo
|
|
|
|
if "exif" in items:
|
|
exif = piexif.load(items["exif"])
|
|
for _key, subkey in exif.items():
|
|
if isinstance(subkey, dict):
|
|
for key, val in subkey.items():
|
|
if isinstance(val, bytes): # decode bytestring
|
|
val = safe_decode_string(val)
|
|
if isinstance(val, tuple) and isinstance(val[0], int) and isinstance(val[1], int): # convert camera ratios
|
|
val = round(val[0] / val[1], 2)
|
|
if val is not None and key in ExifTags.TAGS: # add known tags
|
|
if ExifTags.TAGS[key] == 'UserComment': # add geninfo from UserComment
|
|
geninfo = val
|
|
items['parameters'] = val
|
|
else:
|
|
items[ExifTags.TAGS[key]] = val
|
|
elif val is not None and key in ExifTags.GPSTAGS:
|
|
items[ExifTags.GPSTAGS[key]] = val
|
|
|
|
for key, val in items.items():
|
|
if isinstance(val, bytes): # decode bytestring
|
|
items[key] = safe_decode_string(val)
|
|
|
|
for key in ['exif', 'ExifOffset', 'JpegIFOffset', 'JpegIFByteCount', 'ExifVersion', 'icc_profile', 'jfif', 'jfif_version', 'jfif_unit', 'jfif_density', 'adobe', 'photoshop', 'loop', 'duration', 'dpi']: # remove unwanted tags
|
|
items.pop(key, 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 as e:
|
|
errors.display(e, 'novelai image parser')
|
|
return geninfo, items
|
|
|
|
|
|
def image_data(data):
|
|
import gradio as gr
|
|
if data is None:
|
|
return gr.update(), None
|
|
err1 = None
|
|
err2 = None
|
|
try:
|
|
image = Image.open(io.BytesIO(data))
|
|
errors.log.debug(f'Decoded object: image={image}')
|
|
textinfo, _ = read_info_from_image(image)
|
|
return textinfo, None
|
|
except Exception as e:
|
|
err1 = e
|
|
try:
|
|
if len(data) > 1024 * 10:
|
|
errors.log.warning(f'Error decoding object: data too long: {len(data)}')
|
|
return gr.update(), None
|
|
text = data.decode('utf8')
|
|
errors.log.debug(f'Decoded object: size={len(text)}')
|
|
return text, None
|
|
except Exception as e:
|
|
err2 = e
|
|
errors.log.error(f'Error decoding object: {err1 or err2}')
|
|
return gr.update(), None
|
|
|
|
|
|
def flatten(img, bgcolor):
|
|
"""replaces transparency with bgcolor (example: "#ffffff"), returning an RGB mode image with no transparency"""
|
|
if img.mode == "RGBA":
|
|
background = Image.new('RGBA', img.size, bgcolor)
|
|
background.paste(img, mask=img)
|
|
img = background
|
|
return img.convert('RGB')
|