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dream-factory.py
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# Copyright 2021 - 2023, Bill Kennedy (https://github.com/rbbrdckybk/dream-factory)
# SPDX-License-Identifier: MIT
import threading
import time
import datetime
import shlex
import subprocess
import sys
import unicodedata
import re
import random
import os
import platform
import signal
import webbrowser
import argparse
import shutil
import base64
import json
from PIL import Image
from io import BytesIO
import scripts.utils as utils
import scripts.metadata as metadata
from os.path import exists
from datetime import datetime as dt
from datetime import date
from pathlib import Path
from collections import deque
from PIL.PngImagePlugin import PngImageFile, PngInfo
from torch.cuda import get_device_name, device_count
from scripts.server import ArtServer
from scripts.sdi import SDI
# environment setup
cwd = os.getcwd()
python_path = ""
env_paths = [ \
os.path.join(cwd, 'taming-transformers'),
os.path.join(cwd, 'CLIP')
]
for path in env_paths:
python_path += os.pathsep + path
#os.environ['PYTHONPATH'] = python_path
# Prevent threads from printing at same time.
print_lock = threading.Lock()
# worker thread executes specified shell command
class Worker(threading.Thread):
def __init__(self, command, callback=lambda: None, *args):
threading.Thread.__init__(self)
self.command = command
self.callback = callback
# grab the worker info from the args
self.worker = args[0]
# grab the output buffer
self.output_buffer = None
if len(args) > 1:
self.output_buffer = args[1]
def run(self):
command = ''
original_filename = ''
original_exif = {}
original_iptc = {}
process_mode = False
if not int(self.command.get('seed')) > 0:
self.command['seed'] = -1
else:
# increment seed if we've finished one or more loops
seed = int(self.command.get('seed')) + control.loops
self.command['seed'] = seed
# if this is a process-mode prompt, skip past image generation stuff
if self.command.get('mode') != 'process':
# handle IPTC metadata history stuff
if self.command['iptc_title_history']:
for key in self.command['iptc_title_history']:
self.command['iptc_title'] += self.command['iptc_title_history'][key][-1]
if self.command['iptc_description_history']:
for key in self.command['iptc_description_history']:
self.command['iptc_description'] += self.command['iptc_description_history'][key][-1]
if self.command['iptc_keywords_history']:
for key in self.command['iptc_keywords_history']:
for k in self.command['iptc_keywords_history'][key][-1]:
if k not in self.command['iptc_keywords']:
self.command['iptc_keywords'].append(k)
# if this is a random prompt, settle on random values
if self.command.get('mode') == 'random':
if float(self.command.get('min_scale')) > 0 and float(self.command.get('max_scale')) > 0:
self.command['scale'] = round(random.uniform(float(self.command.get('min_scale')), float(self.command.get('max_scale'))), 1)
if float(self.command.get('min_strength')) > 0 and float(self.command.get('max_strength')) > 0:
self.command['strength'] = round(random.uniform(float(self.command.get('min_strength')), float(self.command.get('max_strength'))), 2)
if self.command.get('random_input_image_dir') != "":
self.command['input_image'] = utils.InputManager(self.command.get('random_input_image_dir')).pick_random()
# settle on random values for ranges specified in scale directive
if '-' in str(self.command['scale']):
try:
values = str(self.command['scale']).split('-', 1)
first = float(values[0].strip())
second = float(values[1].strip())
if second >= first:
self.command['scale'] = round(random.uniform(first, second), 1)
else:
self.command['scale'] = round(random.uniform(second, first), 1)
except:
pass
# settle on random values for ranges specified in strength directive
if '-' in str(self.command['strength']):
try:
values = str(self.command['strength']).split('-', 1)
first = float(values[0].strip())
second = float(values[1].strip())
if second >= first:
self.command['strength'] = round(random.uniform(first, second), 2)
else:
self.command['strength'] = round(random.uniform(second, first), 2)
except:
pass
# settle on random values for ranges specified in steps directive
if '-' in str(self.command['steps']):
try:
values = str(self.command['steps']).split('-', 1)
first = int(values[0].strip())
second = int(values[1].strip())
if second >= first:
self.command['steps'] = random.randint(first, second)
else:
self.command['steps'] = random.randint(second, first)
except:
pass
# check if a model change is needed
if self.command.get('ckpt_file') != '' and (self.command.get('ckpt_file') != self.worker['sdi_instance'].model_loaded):
self.worker['sdi_instance'].load_model(self.command.get('ckpt_file'))
while self.worker['sdi_instance'].options_change_in_progress:
# wait for model change to complete
time.sleep(0.25)
elif self.command.get('ckpt_file') == '':
# revert to default config.txt model if necessary
if control.config.get('ckpt_file') != '' and control.default_model_validated and (control.config.get('ckpt_file') != self.worker['sdi_instance'].model_loaded):
self.worker['sdi_instance'].load_model(control.config.get('ckpt_file'))
while self.worker['sdi_instance'].options_change_in_progress:
# wait for model change to complete
time.sleep(0.25)
if self.command.get('prompt').strip() == '.':
self.command['prompt'] = ''
# check for auto-insertion of model trigger word
if (control.model_trigger_words != None) and (self.command.get('auto_insert_model_trigger') != 'off'):
# check to see if the model we're using has an associated trigger
if control.model_trigger_words.get(self.command.get('ckpt_file')) != None:
trigger = control.model_trigger_words.get(self.command.get('ckpt_file'))
p = self.command.get('prompt')
if trigger not in p:
# trigger word isn't in prompt, we need to add it
if self.command.get('auto_insert_model_trigger') == 'first_comma':
if ',' in p:
self.command['prompt'] = p.split(',', 1)[0] + ', ' + trigger + ',' + p.split(',', 1)[1]
else:
self.command['prompt'] = p + ', ' + trigger
elif self.command.get('auto_insert_model_trigger') == 'end':
self.command['prompt'] = p + ', ' + trigger
elif self.command.get('auto_insert_model_trigger') == 'start':
self.command['prompt'] = trigger + ', ' + p
elif 'keyword:' in self.command.get('auto_insert_model_trigger'):
keyword = self.command.get('auto_insert_model_trigger')
keyword = keyword.split('keyword:', 1)[1].strip()
if keyword in p:
# the keyword we need to replace with the trigger is in the prompt, replace it
self.command['prompt'] = p.replace(keyword, trigger)
# check for wildcard replacements
p = self.command.get('prompt')
#print('before wildcard replace: ' + self.command['prompt'])
for k, v in control.wildcards.items():
key = '__' + k.lower() + '__'
if key in p.lower():
vcopy = v.copy()
# check if any of the values are wildcard keys themselves
key_replacements = 1
while key_replacements > 0:
key_replacements = 0
for v in vcopy:
#print('Checking ' + v)
check_key = v[2:][:-2].lower()
if check_key in control.wildcards.keys():
key_replacements += 1
#print('\n\nFound nested wildcard: ' + v)
#print('\nList before replacement: ' + str(vcopy))
vcopy.extend(control.wildcards[check_key])
vcopy.remove(v)
#print('\nList after replacement: ' + str(vcopy) + '\n\n')
# this will handle multiple replacements of the same key
while key in p.lower():
replace_all = False
if len(vcopy) > 0:
# pick a random value & remove it from the copied list
x = random.randint(0, len(vcopy)-1)
replace = vcopy.pop(x)
else:
# not enough values to make all replacements, sub '' instead
replace_all = True
replace = ''
# make the replacement(s)
p = utils.wildcard_replace(p, key, replace, replace_all)
# check IPTC metadata and make the same replacement if necessary
self.command['iptc_title'] = utils.wildcard_replace(self.command.get('iptc_title'), key, replace, replace_all)
self.command['iptc_description'] = utils.wildcard_replace(self.command.get('iptc_description'), key, replace, replace_all)
self.command['iptc_keywords'] = utils.wildcard_replace_list(self.command.get('iptc_keywords'), key, replace, replace_all)
self.command['iptc_copyright'] = utils.wildcard_replace(self.command.get('iptc_copyright'), key, replace, replace_all)
# handle special hard-coded prompt directive wildcards
if '__!iptc_title__' in p.lower():
p = utils.wildcard_replace(p, '__!iptc_title__', self.command.get('iptc_title'), True)
if '__!iptc_description__' in p.lower():
p = utils.wildcard_replace(p, '__!iptc_description__', self.command.get('iptc_description'), True)
if '__!iptc_keywords__' in p.lower():
p = utils.wildcard_replace_list(p, '__!iptc_keywords__', self.command.get('iptc_keywords'), True)
self.command['prompt'] = p
#print('after wildcard replace: ' + self.command['prompt'])
# check for auto-dimensions
orig_size = [self.command.get('width'), self.command.get('height')]
if self.command.get('auto_size') == 'match_controlnet_image_size':
if self.command.get('controlnet_input_image') != '':
new_size = utils.get_image_size(self.command.get('controlnet_input_image'))
if new_size != []:
self.command['width'] = new_size[0]
self.command['height'] = new_size[1]
elif self.command.get('auto_size') == 'match_input_image_size':
if self.command.get('input_image') != '':
new_size = utils.get_image_size(self.command.get('input_image'))
if new_size != []:
self.command['width'] = new_size[0]
self.command['height'] = new_size[1]
elif self.command.get('auto_size') == 'match_controlnet_image_aspect_ratio':
if self.command.get('controlnet_input_image') != '':
new_size = utils.match_image_aspect_ratio(self.command.get('controlnet_input_image'), orig_size)
if new_size != []:
self.command['width'] = new_size[0]
self.command['height'] = new_size[1]
elif self.command.get('auto_size') == 'match_input_image_aspect_ratio':
if self.command.get('input_image') != '':
new_size = utils.match_image_aspect_ratio(self.command.get('input_image'), orig_size)
if new_size != []:
self.command['width'] = new_size[0]
self.command['height'] = new_size[1]
elif "resize_longest_dimension:" in self.command.get('auto_size'):
new_long_dim = self.command.get('auto_size').split(':', 1)[1].strip()
new_size = utils.resize_based_on_longest_dimension(new_long_dim, orig_size)
if new_size != []:
self.command['width'] = new_size[0]
self.command['height'] = new_size[1]
# check for ControlNet params
use_controlnet = False
scribble_mode = False
cn_params = [64, 64, 64]
img2img = False
if control.sdi_controlnet_available and self.command.get('controlnet_input_image') != '' and self.command.get('controlnet_model') != '':
use_controlnet = True
if self.command.get('input_image') != '':
img2img = True
# encode CN image
encoded = base64.b64encode(open(self.command.get('controlnet_input_image'), "rb").read())
encodedString = str(encoded, encoding='utf-8')
cn_img_payload = 'data:image/png;base64,' + encodedString
# get preprocessor params
if len(self.command.get('controlnet_pre')) >= 3:
found = False
for p in control.sdi_controlnet_preprocessors:
#if self.command.get('controlnet_pre').lower() == p[0]:
# self.command['controlnet_pre'] = p[0]
# cn_params = p[1]
# break
if self.command.get('controlnet_pre').lower() == p.lower():
self.command['controlnet_pre'] = p
# these are the openpose defaults; not sure if these are needed
# TODO: investigate
cn_params = [512, 64, 64]
found = True
break
if not found:
self.command['controlnet_pre'] = 'none'
else:
self.command['controlnet_pre'] = 'none'
# check for auto-model from filename
auto = self.command.get('controlnet_model').lower().strip()
if auto.startswith('auto'):
cn_img = self.command.get('controlnet_input_image')
cn_img = utils.filename_from_abspath(cn_img)
auto_model = ''
# attempt to extract controlnet model from cn input file
if '-' in cn_img:
auto_model = cn_img.split('-', 1)[0]
validated = False
if len(auto_model) >= 3 and control.sdi_controlnet_models != None:
for m in control.sdi_controlnet_models:
if auto_model.lower() in m.lower():
auto_model = m
validated = True
break
if not validated:
auto_model = ''
else:
auto_model = ''
if auto_model == '':
# couldn't get model from filename, check for default
if ',' in auto:
auto_model = auto.rsplit(',', 1)[1].strip()
validated = False
if len(auto_model) >= 3 and control.sdi_controlnet_models != None:
for m in control.sdi_controlnet_models:
if auto_model.lower() in m.lower():
auto_model = m
validated = True
break
if not validated:
auto_model = ''
else:
auto_model = ''
if auto_model == '':
# failed to get model or default, disable CN
use_controlnet = False
self.print('WARNING: automatic ControlNet model specified, but unable to determine valid CN model from input image filename: ' + cn_img + '; disabling ControlNet!')
else:
# we have a valid model, use it
self.command['controlnet_model'] = auto_model
# parameters to pass to SD instance
payload = {}
if self.command.get('input_image') != '':
#img2img
encoded = base64.b64encode(open(self.command.get('input_image'), "rb").read())
encodedString = str(encoded, encoding='utf-8')
img_payload = 'data:image/png;base64,' + encodedString
payload = {
"init_images": [img_payload],
"sampler_index": str(self.command.get('sampler')),
#"resize_mode": 0,
"denoising_strength": self.command.get('strength'),
"prompt": str(self.command.get('prompt')),
"seed": self.command.get('seed'),
"batch_size": self.command.get('batch_size'), # gpu makes this many at once
"n_iter": self.command.get('samples'), # number of iterations to run
"steps": self.command.get('steps'),
"cfg_scale": self.command.get('scale'),
"width": self.command.get('width'),
"height": self.command.get('height'),
#"restore_faces": False,
#"tiling": False,
"negative_prompt": str(self.command.get('neg_prompt'))
}
else:
# txt2img
payload = {
"enable_hr": self.command.get('highres_fix'),
"denoising_strength": self.command.get('strength'),
"sampler_index": str(self.command.get('sampler')),
"prompt": str(self.command.get('prompt')),
"seed": self.command.get('seed'),
"batch_size": self.command.get('batch_size'), # gpu makes this many at once
"n_iter": self.command.get('samples'), # number of iterations to run
"steps": self.command.get('steps'),
"cfg_scale": self.command.get('scale'),
"width": self.command.get('width'),
"height": self.command.get('height'),
#"restore_faces": False,
#"tiling": False,
"negative_prompt": str(self.command.get('neg_prompt'))
}
# add CN params to existing payload if ControlNet is enabled
# https://github.com/Mikubill/sd-webui-controlnet/wiki/API
if use_controlnet:
cn_payload = {
"ControlNet": {
"args": [{
"input_image": cn_img_payload,
"mask": "",
"module": str(self.command.get('controlnet_pre')),
"model": str(self.command.get('controlnet_model')),
"weight": 1,
#"resize_mode": "Scale to Fit (Inner Fit)",
"lowvram": self.command.get('controlnet_lowvram'),
#"processor_res": cn_params[0],
#"threshold_a": cn_params[1],
#"threshold_b": cn_params[2],
"guidance_start": 0,
"guidance_end": 1,
"guessmode": self.command.get('controlnet_guessmode')
}]
}
}
payload["alwayson_scripts"] = cn_payload
# handle override settings here: clip_skip, etc
override_settings = {}
if self.command.get('clip_skip') != '':
override_settings["CLIP_stop_at_last_layers"] = int(self.command.get('clip_skip'))
if override_settings != {}:
payload["override_settings"] = override_settings
else:
# !MODE=process -specific stuff here
process_mode = True
original_exif = metadata.read_exif(self.command.get('input_image'))
original_iptc = metadata.read_iptc(self.command.get('input_image'))
original_filename = utils.filename_from_abspath(self.command.get('input_image')).lower().strip()
# remove extension
original_filename = original_filename[:-4]
# check for !OUTPUT_DIR, create if necessary
if self.command.get('output_dir') != '':
if not os.path.exists(self.command.get('output_dir')):
try:
# attempt to create output directory
Path(self.command.get('output_dir')).mkdir(parents=True, exist_ok=True)
except:
# error creating specified output_dir, fallback to default
self.print("Specified OUTPUT_DIR could not be created: " + self.command.get('output_dir'))
self.print("Using default output directory instead...")
self.command['output_dir'] = ''
# !MODE = process enters here:
command = utils.create_command(self.command, self.command.get('prompt_file'), self.worker['id'])
if not process_mode:
self.print("starting job #" + str(self.worker['jobs_done']+1) + ": " + command)
else:
self.print("starting job #" + str(self.worker['jobs_done']+1) + ": batch processing...")
start_time = time.time()
self.worker['job_start_time'] = start_time
self.worker['job_prompt_info'] = self.command
output_dir = command.split(" --outdir ",1)[1].strip('\"')
#output_dir = output_dir.replace("../","")
if "cuda:" in self.worker['id']:
gpu_id = self.worker['id'].replace('cuda:', '')
else:
gpu_id = self.worker['id']
#samples_dir = os.path.join(output_dir, "gpu_" + str(gpu_id))
samples_dir = output_dir + '/' + "gpu_" + str(gpu_id)
#self.worker['sdi_instance'].last_job_success = True
if control.config.get('debug_test_mode') and not process_mode:
# simulate SD work
work_time = round(random.uniform(2, 6), 2)
time.sleep(work_time)
else:
# invoke SD
if not process_mode:
if self.command.get('input_image') != '':
if use_controlnet:
#self.worker['sdi_instance'].do_controlnet_img2img(payload, samples_dir)
self.worker['sdi_instance'].do_img2img(payload, samples_dir)
else:
self.worker['sdi_instance'].do_img2img(payload, samples_dir)
else:
if use_controlnet:
#self.worker['sdi_instance'].do_controlnet_txt2img(payload, samples_dir)
self.worker['sdi_instance'].do_txt2img(payload, samples_dir)
else:
self.worker['sdi_instance'].do_txt2img(payload, samples_dir)
while self.worker['sdi_instance'].busy and self.worker['sdi_instance'].isRunning:
time.sleep(0.25)
# upscale here if requested
if self.worker['sdi_instance'].last_job_success and self.worker['sdi_instance'].isRunning:
# only if we're not shutting down
if self.command['use_upscale'] == 'yes':
self.worker['work_state'] = 'upscaling'
gpu_id = self.worker['id'].replace("cuda:", "")
if control.config.get('debug_test_mode'):
# simulate upscaling work
work_time = round(random.uniform(0.5, 2), 2)
time.sleep(work_time)
else:
new_files = []
if not process_mode:
# upscale all newly-generated images for non-process mode
new_files = os.listdir(samples_dir)
else:
# if process mode, upscale the designated image
new_files.append(self.command.get('input_image'))
if len(new_files) > 0:
# invoke ESRGAN on entire directory
#utils.upscale(self.command['upscale_amount'], samples_dir, self.command['upscale_face_enh'], gpu_id)
# upscale each image
if not process_mode:
self.worker['sdi_instance'].log('upscaling images...')
else:
self.worker['sdi_instance'].log('upscaling ' + self.command.get('input_image') + '...')
for file in new_files:
encoded = None
if not process_mode:
encoded = base64.b64encode(open(os.path.join(samples_dir, file), "rb").read())
else:
# this whole process_mode thread is pretty hacky...
encoded = base64.b64encode(open(self.command.get('input_image'), "rb").read())
encodedString = str(encoded, encoding='utf-8')
img_payload = 'data:image/png;base64,' + encodedString
payload = {
#"resize_mode": 0,
#"show_extras_results": true,
"gfpgan_visibility": self.command['upscale_gfpgan_amount'],
"codeformer_visibility": self.command['upscale_codeformer_amount'],
#"codeformer_weight": 0,
"upscaling_resize": self.command['upscale_amount'],
#"upscaling_resize_w": 512,
#"upscaling_resize_h": 512,
#"upscaling_crop": true,
"upscaler_1": self.command['upscale_model'],
#"upscaler_2": "None",
#"extras_upscaler_2_visibility": 0,
#"upscale_first": false,
"image": img_payload
}
self.worker['sdi_instance'].do_upscale(payload, samples_dir)
while self.worker['sdi_instance'].busy and self.worker['sdi_instance'].isRunning:
time.sleep(0.25)
# remove originals if upscaled version present
if not process_mode:
new_files = os.listdir(samples_dir)
for f in new_files:
if (".png" in f):
basef = f.replace(".png", "")
if basef[-2:] == "_u":
# this is an upscaled image, delete the original
# or save it in /original if desired
if exists(samples_dir + "/" + basef[:-2] + ".png"):
if self.command['upscale_keep_org'] == 'yes':
# move the original to /original
orig_dir = output_dir + "/original"
Path(orig_dir).mkdir(parents=True, exist_ok=True)
os.replace(samples_dir + "/" + basef[:-2] + ".png", \
orig_dir + "/" + basef[:-2] + ".png")
else:
os.remove(samples_dir + "/" + basef[:-2] + ".png")
# find the new image(s) that SD created: re-name, process, and move them
if self.worker['sdi_instance'].last_job_success and self.worker['sdi_instance'].isRunning:
# only if we're not shutting down
self.worker['work_state'] = "+exif data"
if control.config.get('debug_test_mode'):
# simulate metadata work
work_time = round(random.uniform(1, 2), 2)
time.sleep(work_time)
else:
new_files = os.listdir(samples_dir)
nf_count = 0
for f in new_files:
if (".png" in f):
# save just the essential prompt params to metadata
meta_prompt = command.split(" --prompt ",1)[1]
meta_prompt = meta_prompt.split(" --outdir ",1)[0]
if 'seed_' in f:
# grab seed from filename
# filename = seed_3542762265.png or seed_3542762265_u.png
actual_seed = f.replace('seed_', '')
actual_seed = actual_seed.replace('_u', '')
actual_seed = actual_seed.split('.', 1)[0]
# replace the seed in the command with the actual seed used
pleft = meta_prompt.split(" --seed ",1)[0]
pright = meta_prompt.split(" --seed ",1)[1].strip()
meta_prompt = pleft + " --seed " + actual_seed
upscale_text = ""
if self.command['use_upscale'] == 'yes':
upscale_text = " (upscaled "
upscale_text += str(self.command['upscale_amount']) + "x via " + self.command['upscale_model'] + ")"
pngImage = PngImageFile(samples_dir + "/" + f)
im = pngImage.convert('RGB')
exif = None
if not process_mode:
exif = im.getexif()
exif[0x9286] = meta_prompt
exif[0x9c9c] = meta_prompt.encode('utf16')
exif[0x0131] = "https://github.com/rbbrdckybk/dream-factory"
else:
exif = original_exif
exif[0x9c9d] = ('AI art' + upscale_text).encode('utf16')
newfilename = ''
if self.command['filename'] != '':
# user specified custom filename format
model = self.command.get('ckpt_file')
model = model.split('[', 1)[0].strip()
if '\\' in model:
model = model.rsplit('\\', 1)[1].strip()
if '/' in model:
model = model.rsplit('/', 1)[1].strip()
if '.' in model:
model = model.rsplit('.', 1)[0].strip()
cn_model = ''
if self.command.get('controlnet_model') != '':
cn_model = self.command.get('controlnet_model')
cn_model = cn_model.split('[', 1)[0].strip()
if '.' in cn_model:
cn_model = cn_model.rsplit('.', 1)[0].strip()
cn_img = ''
if self.command.get('controlnet_input_image') != '':
cn_img = self.command.get('controlnet_input_image')
cn_img = utils.filename_from_abspath(cn_img)[:-4]
input_img = ''
if self.command.get('input_image') != '':
input_img = self.command.get('input_image')
input_img = utils.filename_from_abspath(input_img)[:-4]
newfilename = self.command['filename']
if not process_mode:
try:
newfilename = re.sub('<prompt>', self.command.get('prompt'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<neg_prompt>', self.command.get('neg_prompt'), newfilename, flags=re.IGNORECASE)
except:
pass
newfilename = re.sub('<scale>', str(self.command.get('scale')), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<seed>', str(self.command.get('seed')), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<steps>', str(self.command.get('steps')), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<width>', str(self.command.get('width')), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<height>', str(self.command.get('height')), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<sampler>', self.command.get('sampler'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<model>', model, newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<cn-img>', cn_img, newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<cn-model>', cn_model, newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<date>', dt.now().strftime('%Y%m%d'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<time>', dt.now().strftime('%H%M%S'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<date-year>', dt.now().strftime('%Y'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<date-month>', dt.now().strftime('%m'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<date-day>', dt.now().strftime('%d'), newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<input-img>', input_img, newfilename, flags=re.IGNORECASE)
newfilename = re.sub('<upscale-model>', self.command.get('upscale_model'), newfilename, flags=re.IGNORECASE)
# remove all unrecognized variables
#opening_braces = '<'
#closing_braces = '>'
#non_greedy_wildcard = '.*?'
#re.sub(f'[{opening_braces}]{non_greedy_wildcard}[{closing_braces}]', '', newfilename)
# make the final name filesystem-safe
newfilename = utils.slugify(newfilename)
x = 0
testname = newfilename
while exists(output_dir + "/" + testname + ".jpg"):
testname = newfilename + '-' + str(x)
x += 1
newfilename = testname
else:
# use default filename format
newfilename = dt.now().strftime('%Y%m%d-%H%M%S-') + str(nf_count)
nf_count += 1
quality = control.config.get('jpg_quality')
#output_fn = output_dir + "/" + newfilename + ".jpg"
output_fn = os.path.join(output_dir, newfilename + ".jpg")
if process_mode and self.command.get('output_dir') != '':
output_fn =os.path.join(self.command.get('output_dir'), newfilename + ".jpg")
try:
im.save(output_fn, exif=exif, quality=quality)
except:
self.print("OS error when attempting to save output image!")
iptc_append = False
if process_mode:
# re-attach original iptc info
metadata.attach_iptc_info(output_fn, original_iptc)
if self.command.get('iptc_append'):
iptc_append = True
# add IPTC metadata if necesary
if (self.command.get('iptc_title') != ''
or self.command.get('iptc_description') != ''
or self.command.get('iptc_keywords') != []
or self.command.get('iptc_copyright') != ''):
if not iptc_append:
metadata.write_iptc_info(output_fn,
self.command.get('iptc_title'),
self.command.get('iptc_description'),
self.command.get('iptc_keywords'),
self.command.get('iptc_copyright'))
else:
metadata.write_iptc_info_append(output_fn,
self.command.get('iptc_title'),
self.command.get('iptc_description'),
self.command.get('iptc_keywords'),
self.command.get('iptc_copyright'))
if exists(samples_dir + "/" + f):
os.remove(samples_dir + "/" + f)
self.worker['work_state'] = ""
# remove the samples dir to flush any unfinished work
try:
# os.rmdir only removes empty directories
#os.rmdir(samples_dir)
shutil.rmtree(samples_dir)
except OSError as e:
pass
exec_time = time.time() - start_time
if self.worker['sdi_instance'].last_job_success:
self.print("finished job #" + str(self.worker['jobs_done']+1) + " in " + str(round(exec_time, 2)) + " seconds.")
else:
self.print("job #" + str(self.worker['jobs_done']+1) + " failed after " + str(round(exec_time, 2)) + " seconds.")
self.callback(self.worker)
def print(self, text):
out_txt = "[" + self.worker['id'] + "] >>> " + text
with print_lock:
print(out_txt)
# also write to buffer for webserver use
if self.output_buffer != None:
self.output_buffer.append(out_txt + '\n')
# controller manages worker thread(s) and user input
class Controller:
def __init__(self, config_file):
self.config_file = config_file
self.config = {}
self.prompt_file = ""
self.prompt_editor_file = ""
self.temp_path = ""
self.prompt_manager = None
self.input_manager = None
self.output_buffer = deque([], maxlen=300)
self.work_queue = deque()
self.workers = []
self.work_done = False
self.is_paused = False
self.loops = 0
self.orig_work_queue_size = 0
self.jobs_done = 0
self.total_jobs_done = 0
self.repeat_jobs = False
self.server = None
self.server_startup_time = time.time()
self.shutting_down = False
self.sdi_ports_assigned = 0
#self.sdi_setup_request_made = False # made this worker-level
self.sdi_sampler_request_made = False
self.sdi_samplers = None
self.models_filename = 'model-triggers.txt'
self.model_trigger_words = None
self.sdi_model_request_made = False
self.sdi_models = None
self.sdi_hypernetwork_request_made = False
self.sdi_hypernetworks = None
self.sdi_upscaler_request_made = False
self.sdi_upscalers = None
self.sdi_controlnet_available = False
self.sdi_controlnet_request_made = False
self.sdi_controlnet_pre_request_made = False
self.sdi_controlnet_models = None
self.sdi_controlnet_preprocessors = None
self.sdi_script_request_made = False
self.sdi_txt2img_scripts = None
self.sdi_img2img_scripts = None
self.wildcards = None
self.default_model_validated = False
self.embeddings = []
self.loras = []
self.poses = [] # [ path, [filename, str(WxH img dimensions), str(preview ext: '', 'jpg', 'png')] ]
# for queuing multiple models to apply to prompt files
self.models = []
self.model_index = 0
# read config options
self.init_config()
if self.config['sd_location'] == '':
print('\nERROR: path to stable diffusion not specified in config file! ')
print('Make sure to set \'SD_LOCATION =\' in your config.txt with the path to your Automatic1111 SD repo installation!')
print('\nExiting...')
exit(0)
# start the webserver if enabled
if self.config.get('webserver_use'):
x = threading.Thread(target=self.start_server, args=(), daemon=True)
x.start()
else:
# cherrypy would otherwise catch ctrl-break for us
self.register_handlers()
# create temp folder for backups/zips/etc - needs to be webserver-accessible
self.temp_path = os.path.join('server', 'temp')
if not os.path.exists(self.temp_path):
os.makedirs(self.temp_path)
if not self.config.get('debug_test_mode'):
# initialize GPU(s)
self.init_gpu_workers()
else:
# create some dummy devices for testing
self.init_dummy_workers()
# do an initial read of user-installed files
self.read_wildcards()
self.read_embeddings()
self.read_loras()
self.init_controlnet()
# clean up empty output dirs
def clean_output_subdirs(self, directory):
for entry in os.scandir(directory):
if os.path.isdir(entry.path) and not os.listdir(entry.path):
try:
# try to remove an entry output sub-dir
os.rmdir(entry.path)
except:
pass
# returns the current operation mode (standard or random)
def get_mode(self):
if self.prompt_manager != None:
return self.prompt_manager.config.get('mode')
else:
return None
# reads user-create wildcard files into a dictionary for use with prompting
# dict key is filename, value is list of lines in file
def read_wildcards(self):
self.wildcards = {}
if self.config['wildcard_location'] != '' and os.path.exists(self.config['wildcard_location']):
for x in os.listdir(self.config['wildcard_location']):
if x.endswith('.txt'):
key = x.replace('.txt', '').strip()
#print(key) + ' :'
# read the contents of the wildcard file
with open(os.path.join(self.config['wildcard_location'], x), encoding = 'utf-8') as f:
lines = f.readlines()
# store the contents into a list
vals = []
for line in lines:
line = line.strip().split('#', 1)
line = line[0]
if len(line) > 0:
vals.append(line.replace('\n', '').strip())
# save the filename & contents as a dict entry
self.wildcards[key] = vals
#self.print_wildcards()
# checks for user embedding files in Auto1111 embeddings dir
def read_embeddings(self):
self.embeddings = []
embed_dir = os.path.join(self.config['sd_location'], 'embeddings')
if os.path.exists(embed_dir):
for x in os.listdir(embed_dir):
if x.endswith('.pt') or x.endswith('.bin') or x.endswith('.safetensors'):
self.embeddings.append(x)
self.embeddings.sort()
# checks for user lora files in Auto1111 embeddings dir
# 2023-02-28 BK there is no API request for these; doing this instead
def read_loras(self):
self.loras = []
lora_dir = os.path.join(self.config['sd_location'], 'models')
lora_dir = os.path.join(lora_dir, 'Lora')
if os.path.exists(lora_dir):
for x in os.listdir(lora_dir):
if x.endswith('.pt') or x.endswith('.bin') or x.endswith('.safetensors'):
self.loras.append(x)
self.loras.sort()
# checks for presense of controlnet extension
def init_controlnet(self):
cn_dir = os.path.join(self.config['sd_location'], 'extensions')
cn_dir = os.path.join(cn_dir, 'sd-webui-controlnet')
if os.path.exists(cn_dir):
# controlnet extension appears to be installed
self.sdi_controlnet_available = True
self.print('ControlNet extension found; enabling ControlNet functionality...')
# 2023-04-16 API now supports this
# build preprocesor list manually - no API call for this currently
#pre = []
#pre.append(['none', [64, 64, 64]])
#pre.append(['canny', [512, 100, 200]])
#pre.append(['depth', [384, 64, 64]])
#pre.append(['hed', [512, 64, 64]])
#pre.append(['mlsd', [512, 0.1, 0.1]])
#pre.append(['normal_map', [512, 0.4, 64]])
#pre.append(['openpose', [512, 64, 64]])
#pre.append(['scribble', [512, 64, 64]])
#pre.append(['segmentation', [512, 64, 64]])
#self.sdi_controlnet_preprocessors = pre
# read/init pose files
if os.path.exists('poses'):
self.poses = []
root_files = []
for entry in os.scandir('poses'):
if entry.is_dir() and entry.name != 'previews':
# scan subdirs
files = []
subdir = os.path.join('poses', entry.name)
for entry in os.scandir(subdir):
if entry.is_file() and (entry.name.lower().endswith('.png') or entry.name.lower().endswith('.jpg')):
size = ''
try:
with Image.open(os.path.join(subdir, entry.name)) as img:
width, height = img.size
size = str(width) + 'x' + str(height)
except:
size = ''
if size != '':
preview = ''
preview_dir = os.path.join(subdir, 'previews')
if os.path.exists(os.path.join(preview_dir, entry.name[:-3] + 'jpg')):
preview = 'jpg'
elif os.path.exists(os.path.join(preview_dir, entry.name[:-3] + 'png')):
preview = 'png'
files.append([entry.name, size, preview])
if len(files) > 0:
files.sort()
self.poses.append([subdir, files])
else:
# scan root
if entry.is_file() and (entry.name.lower().endswith('.png') or entry.name.lower().endswith('.jpg')):
size = ''
try:
with Image.open(os.path.join('poses', entry.name)) as img:
width, height = img.size
size = str(width) + 'x' + str(height)
except:
size = ''
if size != '':
preview = ''
preview_dir = os.path.join('poses', 'previews')
if os.path.exists(os.path.join(preview_dir, entry.name[:-3] + 'jpg')):
preview = 'jpg'
elif os.path.exists(os.path.join(preview_dir, entry.name[:-3] + 'png')):
preview = 'png'
root_files.append([entry.name, size, preview])
if len(root_files) > 0:
root_files.sort()
self.poses.append(['poses', root_files])
self.poses.sort()