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FilesWithSamePromptDifferentSeed.py
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FilesWithSamePromptDifferentSeed.py
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import os
import re
import hashlib
from datetime import datetime
from PIL import Image
from PIL.PngImagePlugin import PngInfo
#import uuid
import csv
from collections import defaultdict
from collections import Counter
import shutil
from concurrent.futures import ProcessPoolExecutor
from pathlib import Path
import platform
import json
import time
#python3.11 -m venv venv
#source ./venv/bin/activate
#pip install nltk
#pip install pillow
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
nltk.download('punkt')
nltk.download('stopwords')
def get_script_name():
# Use os.path.basename to get the base name (script name) from the full path
#basename = os.path.basename(path)
return Path(__file__).stem
#return os.path.basename(__file__)
def get_script_path():
return os.path.dirname(os.path.realpath(__file__))
def get_operating_system():
system = platform.system()
return system
def write_to_log(log_file, message):
global debug
if debug == True: print(message)
try:
with open(log_file, 'a', encoding='utf-8') as file:
file.write(message + '\n')
except Exception as e:
print(f"Error writing to the log file: {e}. Press a key to continue")
input()
def find_highest_numbered_folder(directory):
try:
# List all directories in the specified path
subdirectories = [d for d in os.listdir(directory) if os.path.isdir(os.path.join(directory, d))]
numeric_parts = [int(''.join(filter(str.isdigit, d))) for d in subdirectories if d.isdigit()]
#numeric_parts = [d for d in subdirectories if d.isdigit()]
# Extract numeric parts and convert to integers
#numeric_parts = [int(''.join(filter(str.isdigit, d))) for d in subdirectories]
if numeric_parts:
# Find the highest number
highest_number = max(numeric_parts)
return highest_number
else:
return 0 # No numbered folders found
except OSError as e:
print(f"Error: {e}")
return None
def read_style_to_list(file_path):
data_array = []
#with open(file_path, 'r', encoding='utf-8') as f:
with open(file_path, 'r', encoding='utf-8-sig') as f:
try:
reader = csv.DictReader(f, delimiter=',')
for row in reader:
#row_lower = {key: value.lower() for key, value in row.items()}
#row_lower = {key: value.lower() if value else '' for key, value in row.items()}
name = row['name'].lower()
pos_prompt = row['prompt'].lower()
neg_prompt = row['negative_prompt'].lower()
if pos_prompt == '' and neg_prompt == '':
print("ignoring delimiter " + name + " " + str(row))
continue
else:
#data_array.append(row_lower)
data_array.append({
'name': name,
'prompt': pos_prompt,
'negative_prompt': neg_prompt
})
except Exception as e:
print("Error with style file " + file_path + " " + str(e))
return data_array
def create_word_groups_parallel_func(args):
filepath_strings, start, end = args
result_filepaths = []
# Convert the dictionary items to a list for easy iteration
items = list(filepath_strings.items())[start:end]
stop_words = set(stopwords.words('english'))
for i in range(len(items)):
current_filepath, current_string = items[i]
current_group = [current_filepath]
current_words = set(word_tokenize(current_string.lower())) - stop_words
for j in range(i + 1, len(items)):
compare_filepath, compare_string = items[j]
compare_words = set(word_tokenize(compare_string.lower())) - stop_words
# Calculate the percentage of common words
percentage_common = len(current_words.intersection(compare_words)) / max(len(current_words), len(compare_words)) * 100
# If over 90% of words are the same, add the filepath to the current group
if percentage_common > 90:
current_group.append(compare_filepath)
# Add the current group to the result if it contains more than one filepath
if len(current_group) > 1:
result_filepaths.append(current_group)
return result_filepaths
def create_word_groupsbywords(filepath_strings, max_different_words=1, group_if_over=1):
word_groups = []
# Convert the dictionary items to a list for easy iteration
items = list(filepath_strings.items())
while items:
current_filepath, current_string = items.pop(0)
current_group = [current_filepath]
current_words = set(word_tokenize(current_string[0].lower()))
i = 0
while i < len(items):
print(str(i) + " of " + str(len(items)))
compare_filepath, compare_string = items[i]
compare_words = set(word_tokenize(compare_string[0].lower()))
# Remove stop words (optional)
stop_words = set(stopwords.words('english'))
current_words = current_words - stop_words
compare_words = compare_words - stop_words
# Calculate the number of different words
different_words = len(current_words.symmetric_difference(compare_words))
# If the number of different words is less than or equal to the specified value, add the filepath to the current group
if different_words <= max_different_words:
current_group.append(compare_filepath)
items.pop(i) # Remove the compared item from the list
else:
i += 1
# Add the current group to the list if it contains more than one filepath
if len(current_group) > group_if_over:
word_groups.append(current_group)
return word_groups
def create_word_groups_precentage(filepath_strings,percentagesimilar=90,groupifover=1):
word_groups = []
# Convert the dictionary items to a list for easy iteration
items = list(filepath_strings.items())
while items:
current_filepath, current_string = items.pop(0)
current_group = [current_filepath]
current_words = set(word_tokenize(current_string[0].lower()))
i = 0
while i < len(items):
print(str(i) + " of " + str(len(items)))
compare_filepath, compare_string = items[i]
compare_words = set(word_tokenize(compare_string[0].lower()))
# Remove stop words (optional)
stop_words = set(stopwords.words('english'))
current_words = current_words - stop_words
compare_words = compare_words - stop_words
# Calculate the intersection of the sets
common_words = current_words.intersection(compare_words)
# Calculate the percentage of common words
percentage_common = len(common_words) / max(len(current_words), len(compare_words)) * 100
# If over 90% of words are the same, add the filepath to the current group
if percentage_common > percentagesimilar:
current_group.append(compare_filepath)
items.pop(i) # Remove the compared item from the list
else:
i += 1
# Add the current group to the list if it contains more than one filepath
if len(current_group) > groupifover:
word_groups.append(current_group)
return word_groups
def create_word_groups_parallel(filepath_strings, num_processes=4):
word_groups = []
items = list(filepath_strings.items())
with ProcessPoolExecutor(max_workers=num_processes) as executor:
chunk_size = len(items) // num_processes
futures = [executor.submit(create_word_groups_parallel_func, (filepath_strings, i, i + chunk_size)) for i in range(0, len(items), chunk_size)]
for future in futures:
word_groups.extend(future.result())
return word_groups
def checkposandnegarrays(data_dict, positivepromptarray, negativepromptarray):
posprompt = False
negprompt = False
pos1 = None
neg1 = None
cntr = 0
#print(type(data_dict))
if positivepromptarray != None :
#print("Pos array is not empty. Len is " + str(len(positivepromptarray)))
posprompt = True
if negativepromptarray != None :
#print("neg array is not empty. Len is " + str(len(negativepromptarray)))
negprompt = True
for entry in data_dict:
# print(entry)
#prompt = False
styleposprompt = entry['prompt']
stylenegprompt = entry['negative_prompt']
stylename = entry['name']
#print("style name: " + str(stylename))
#print("style positive prompt: " + str(styleposprompt))
#print("style negative prompt: " + str(stylenegprompt))
#print("check against positive of " + str(positivepromptarray))
#print("check against negative of " + str(negativepromptarray))
pos = False
neg = False
#if 'latex' in stylename:
# print("test")
if str(styleposprompt) != '' and posprompt == True:
if '{prompt}' in styleposprompt:
#print('{prompt} present in positive prompt: ' + styleposprompt)
styleposprompt = styleposprompt.replace('{prompt}','')
#del my_dict['key2']
#print('{prompt} removed from positive prompt: ' + styleposprompt)
styleposprompt = styleposprompt.replace(', ',',')
styleposprompt = styleposprompt.replace(',,',',')
styleposprompt = styleposprompt.split(',')
styleposprompt = sorted(styleposprompt)
#this is for list
#stylenegprompt = {key: value for key, value in stylenegprompt.items() if value}
#this i for disct
styleposprompt = [item for item in styleposprompt if item]
#pos = all(item in styleposprompt for item in positivepromptarray)
pos = all(item in positivepromptarray for item in styleposprompt)
posopp = all(item not in styleposprompt for item in positivepromptarray)
# else:
# print("Style has empty positive prompt or prompt is empty. will always match")
if str(stylenegprompt) != '' and negprompt == True:
if '{prompt}' in stylenegprompt:
#print('{prompt} present in negative prompt: ' + stylenegprompt)
stylenegprompt = stylenegprompt.replace('{prompt}','')
#print('{prompt} removed from negative prompt: ' + stylenegprompt)
stylenegprompt = stylenegprompt.replace(', ',',')
stylenegprompt = stylenegprompt.replace(',,',',')
stylenegprompt = stylenegprompt.split(',')
stylenegprompt = sorted(stylenegprompt)
#this is for list
#stylenegprompt = {key: value for key, value in stylenegprompt.items() if value}
#this i for dict
stylenegprompt = [item for item in stylenegprompt if item]
neg = all(item in negativepromptarray for item in stylenegprompt)
negopp = all(item not in stylenegprompt for item in negativepromptarray)
# else:
# print("Style has Empty negative prompt or negprompt is empty. Will always be a match")
if (pos or styleposprompt == '' ) and (neg or stylenegprompt == ''):
#print("Neg and positive match for a style")
cntr += 1
if pos:
#print("positive matches")
promp = entry['name']
#print("All members of array2 are present in array1")
pos1 = [item for item in positivepromptarray if item not in styleposprompt]
# Add a single value 'match' to array1
pos1.append('z_' + promp + '__')
#print('replaced ' + str(positivepromptarray) + " with " + str(pos1))
positivepromptarray = pos1
if neg:
#print("neg matches")
promp = entry['name']
#print("All members of array2 are present in array1")
neg1 = [item for item in negativepromptarray if item not in stylenegprompt ]
# Add a single value 'match' to array1
neg1.append('z_' + promp + '__')
#print('replaced ' + str(negativepromptarray) + " with " + str(neg1))
negativepromptarray = neg1
#print("Counters are both,pos,neg" ,bothcnt,poscnt,negcnt )
if pos1 ==False and neg1 == False:
print("no Styles found in prompt")
else:
print("number of matches is " + str(cntr))
return pos1, neg1
def extract_text_after2(list_obj, text):
for element in list_obj:
if element.strip().lower().startswith(text.lower() + ":"):
return element.split(":")[-1].strip()
return None
def extract_between_angle_brackets(input_string):
pattern = re.compile(r'<(.*?)>')
matches = pattern.findall(input_string)
return matches
def ensure_comma_before_lt(input_string):
# Use a regular expression to match '<' not preceded by a comma
pattern = re.compile(r'(?<!,)(<)')
#pattern = re.compile(r'(?<!,\s*)(<)')
# Insert a comma before '<' using the sub method
result_string = pattern.sub(r',\1', input_string)
return result_string
def remove_spaces_around_comma(input_string):
# Use a regular expression to match spaces around commas
pattern = re.compile(r'\s*,\s*')
# Replace spaces around commas with a comma
result_string = pattern.sub(',', input_string)
return result_string
def unquote(text):
if len(text) == 0 or text[0] != '"' or text[-1] != '"':
return text
try:
return json.loads(text)
except Exception:
return text
def parse_generation_parameters(x: str):
"""parses generation parameters string, the one you see in text field under the picture in UI:
```
girl with an artist's beret, determined, blue eyes, desert scene, computer monitors, heavy makeup, by Alphonse Mucha and Charlie Bowater, ((eyeshadow)), (coquettish), detailed, intricate
Negative prompt: ugly, fat, obese, chubby, (((deformed))), [blurry], bad anatomy, disfigured, poorly drawn face, mutation, mutated, (extra_limb), (ugly), (poorly drawn hands), messy drawing
Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 965400086, Size: 512x512, Model hash: 45dee52b
```
returns a dict with field values
"""
re_param_code = r'\s*(\w[\w \-/]+):\s*("(?:\\.|[^\\"])+"|[^,]*)(?:,|$)'
re_param = re.compile(re_param_code)
re_imagesize = re.compile(r"^(\d+)x(\d+)$")
re_hypernet_hash = re.compile("\(([0-9a-f]+)\)$")
if 'Template' in x:
print("check")
res = {}
prompt = ""
negative_prompt = ""
done_with_prompt = False
*lines, lastline = x.strip().split("\n")
if len(re_param.findall(lastline)) < 3:
lines.append(lastline)
lastline = ''
for line in lines:
line = line.strip()
if line.startswith("Negative prompt:"):
done_with_prompt = True
line = line[16:].strip()
if done_with_prompt:
negative_prompt += ("" if negative_prompt == "" else "\n") + line
else:
prompt += ("" if prompt == "" else "\n") + line
res["Prompt"] = prompt
res["Negative prompt"] = negative_prompt
for k, v in re_param.findall(lastline):
try:
if len(v) > 0:
if v[0] == '"' and v[-1] == '"':
v = unquote(v)
m = re_imagesize.match(v)
if m is not None:
res[f"{k}-1"] = m.group(1)
res[f"{k}-2"] = m.group(2)
else:
res[k] = v
else:
print(f"ignoring key {k} as value is empty")
except Exception as e:
print(f"Error parsing \"{k}: {v}\" {e}")
# Missing CLIP skip means it was set to 1 (the default)
if "Clip skip" not in res:
res["Clip skip"] = "1"
hypernet = res.get("Hypernet", None)
if hypernet is not None:
res["Prompt"] += f"""<hypernet:{hypernet}:{res.get("Hypernet strength", "1.0")}>"""
if "Hires resize-1" not in res:
res["Hires resize-1"] = 0
res["Hires resize-2"] = 0
if "Hires sampler" not in res:
res["Hires sampler"] = "Use same sampler"
if "Hires checkpoint" not in res:
res["Hires checkpoint"] = "Use same checkpoint"
if "Hires prompt" not in res:
res["Hires prompt"] = ""
if "Hires negative prompt" not in res:
res["Hires negative prompt"] = ""
#restore_old_hires_fix_params(res)
# Missing RNG means the default was set, which is GPU RNG
if "RNG" not in res:
res["RNG"] = "GPU"
if "Schedule type" not in res:
res["Schedule type"] = "Automatic"
if "Schedule max sigma" not in res:
res["Schedule max sigma"] = 0
if "Schedule min sigma" not in res:
res["Schedule min sigma"] = 0
if "Schedule rho" not in res:
res["Schedule rho"] = 0
if "VAE Encoder" not in res:
res["VAE Encoder"] = "Full"
if "VAE Decoder" not in res:
res["VAE Decoder"] = "Full"
#skip = set(shared.opts.infotext_skip_pasting)
#res = {k: v for k, v in res.items() if k not in skip}
return res
def sanitise_path_name(folder_name):
# Define a regular expression pattern to match invalid characters
invalid_chars_pattern = re.compile(r'[\\/:"*?<>| ]')
# Replace invalid characters with an empty string
sanitised_folder_name = re.sub(invalid_chars_pattern, '', folder_name)
return sanitised_folder_name
def get_sanitised_download_time(filepath):
# Get the modification time of the file
mtime = os.path.getmtime(filepath)
# Convert the modification time to a datetime object
dt = datetime.fromtimestamp(mtime)
# Format the datetime as a string in the format YYYY-MM-DD_HH-MM-SS
dt_string = dt.strftime("%Y-%m-%d_%H-%M-%S")
# Replace any spaces or colons with underscores
sanitised_dt_string = dt_string.replace(" ", "_").replace(":", "_")
# Return the sanitised datetime string
return sanitised_dt_string
def getloras(parameter):
matches = re.findall(r'<lora:(.*?):', parameter)
loras = '_'.join(set(matches))
#loras = '_'.join(matches)
if len(loras) >0:
#print("Lora !")
return loras
else:
return None
def substring(stringtosearch,start_substring,end_substring):
#start_substring = 'lora hashes: "'
#end_substring = '"'
start_index = stringtosearch.find(start_substring)
end_index = stringtosearch.find(end_substring, start_index + len(start_substring))
if start_index != -1 and end_index != -1:
result = stringtosearch[start_index + len(start_substring):end_index]
#print(result)
else:
print("Substrings not found.")
return None
return result
def move_file_to_meta(filename, subfolder_name):
file_location = os.path.dirname(filename)
destination_folder = os.path.join(file_location, subfolder_name)
subfolder_name = sanitise_path_name(subfolder_name)
if not os.path.exists(destination_folder):
os.makedirs(destination_folder)
# Construct the destination path
destination = os.path.join(destination_folder, os.path.basename(filename))
# Handle duplicate filenames
base, ext = os.path.splitext(destination)
count = 1
while os.path.exists(destination):
destination = f"{base}_{count}{ext}"
count += 1
try:
shutil.move(filename, destination)
except Exception as e:
print(f"Error moving '{filename}' to '{destination}': {str(e)}")
def move_to_subfolder(path, subfolder):
# Check if the path is a directory or a file
last_folder = os.path.basename(os.path.dirname(path))
if subfolder in last_folder:
print(path + " directory tree already contains " + subfolder)
return
if os.path.isdir(path):
# Create the subfolder if it doesn't exist
subfolder_path = os.path.join(path, subfolder)
if not os.path.exists(subfolder_path):
os.makedirs(subfolder_path)
# Move all files in the directory to the subfolder
for file in os.listdir(path):
if os.path.isfile(os.path.join(path, file)):
base_name, ext = os.path.splitext(file)
dest_file = os.path.join(subfolder_path, file)
count = 1
while os.path.exists(dest_file):
new_name = f"{base_name}_{count}{ext}"
dest_file = os.path.join(subfolder_path, new_name)
count += 1
shutil.move(os.path.join(path, file), dest_file)
elif os.path.isfile(path):
# Create the subfolder if it doesn't exist
subfolder_path = os.path.join(os.path.dirname(path), subfolder)
if not os.path.exists(subfolder_path):
os.makedirs(subfolder_path)
# Move the file to the subfolder
base_name, ext = os.path.splitext(os.path.basename(path))
dest_file = os.path.join(subfolder_path, os.path.basename(path))
count = 1
while os.path.exists(dest_file):
new_name = f"{base_name}_{count}{ext}"
dest_file = os.path.join(subfolder_path, new_name)
count += 1
shutil.move(path, dest_file)
def move_to_fixed_folder_with_group_number(path, filepath,groupid):
# Check if the path is a directory or a file
global log_file
dir = os.path.dirname(filepath)
filename = os.path.basename(filepath)
base_name, ext = os.path.splitext(filename)
destination = os.path.join(path,groupid,groupid + '_' + filename)
path = os.path.join(path,groupid)
if not os.path.isdir(path):
os.makedirs(path)
if os.path.isfile(destination):
# Create the subfolder if it doesn't exist
count = 1
while os.path.exists(destination):
new_name = f"{groupid}_{base_name}_{count}{ext}"
destination = os.path.join(path, new_name)
count += 1
write_to_log(log_file,f"moving {filepath} to {destination}")
shutil.move(filepath, destination)
else:
write_to_log(log_file,f"moving {filepath} to {destination}")
shutil.move(filepath, destination)
def is_locked(filepath):
locked = None
file_object = None
if os.path.exists(filepath):
try:
buffer_size = 8
# Opening file in append mode and read the first 8 characters.
file_object = open(filepath, 'a', buffer_size)
if file_object:
locked = False
except IOError as message:
locked = True
finally:
if file_object:
file_object.close()
return locked
def wait_for_file(filepath):
wait_time = 1
while is_locked(filepath):
time.sleep(wait_time)
def main(foldertosearch,destination_folder,path_to_style_file):
global readstyles
global showcounts
global writecsv
global movefiles
global moveiffilesover
global log_file
global comparebymd5
global comparebytext
global comparebytextpercentage
global renamefiles
global dump_prompt
global csv_filename
global csv_filename_neg
global csv_filename_pos
global csv_filename_prompts
# Create a dictionary to store file hashes and corresponding folders
file_hash_to_folder = {}
hash_to_files = {}
hash_list = defaultdict(list)
new_array = defaultdict(list)
pos_valuescount = []
neg_valuescount = []
neg_values = []
if readstyles == True:
if os.path.exists(path_to_style_file):
stylevars = read_style_to_list(path_to_style_file)
else:
readstyles = False
foldercnt = find_highest_numbered_folder(destination_folder)
counter = 0
# Iterate through all files in the foldertosearch and its subdirectories
for root, dirs, files in os.walk(foldertosearch):
for filename in files:
file_path = os.path.normpath(os.path.join(root, filename))
badfile = False
if 'nometa' in file_path:
continue
if filename.endswith(".png"):
counter += 1
print("Processing: " + str(counter))
parameter = None
hasparameters = False
platform = None
positiveprompt = None
negativeprompt = None
seed = None
loras = None
img = None
try:
while True:
if not is_locked(file_path):
img = Image.open(file_path)
#img.load()
img.close()
break
else:
wait_for_file(file_path)
except Exception as e:
if 'cannot identify image file' in e.args[0]:
print(str(e))
else:
print(f"ERROR: {e}")
if img != None:
if hasparameters == False:
try:
parameter = img.info.get("parameters")
except Exception as e:
print(f"Error {e}")
if parameter is not None:
print(filename + " has A1111 metadata.")
platform = "A1111"
hasparameters = True
print(parameter)
settings = parse_generation_parameters(parameter)
#settings = [item.strip() for item in settings]
positiveprompt = ""
negativeprompt = ""
#result = mytest(parameter)
positivepromptarray = settings['Prompt'].split(', ')
if 'Template: ' in parameter:
print("template\n" + parameter)
try:
templatevar = settings['Template'].split(', ')
if str(templatevar) != str(positivepromptarray):
print(f"template and prompt don't match\n{templatevar}\n{positivepromptarray}")
except:
print("oops")
negativepromptarray = settings['Negative prompt'].split(', ')
if negativepromptarray != None:
negativepromptarray = sorted(negativepromptarray)
if readstyles == True:
pos1, neg1 = checkposandnegarrays(stylevars,positivepromptarray,negativepromptarray)
else:
print("no Styles file")
if pos1 != None and neg1 != None:
print("Embedded Styles were used")
pos1 = sorted(pos1)
neg1 = sorted(neg1)
pos_valuescount.extend(pos1)
neg_valuescount.extend(pos1)
positiveprompt = ','.join(pos1)
negativeprompt = ','.join(neg1)
else:
print("No embedded Styles used")
if positivepromptarray != None:
positivepromptarray = sorted(positivepromptarray)
pos_valuescount.extend(positivepromptarray)
positiveprompt = ','.join(positivepromptarray)
if negativepromptarray != None:
negativepromptarray = sorted(negativepromptarray)
negativeprompt = ','.join(negativepromptarray)
try:
steps = settings['Steps']
except:
steps = None
try:
seed = settings['Seed']
except:
seed = None
try:
model = settings['Model']
except:
model = None
if 'lora' in parameter.lower():
foundlora = False
loras1 = None
loras2 = None
loras3 = None
if '<lora:' in positiveprompt.lower():
print('Loras declared in prompt')
loras1 = extract_between_angle_brackets(positiveprompt)
loras1 = '_'.join(loras1)
foundlora = True
print(f"loras1 in prompt: {loras1}")
else:
print("No Lora in prompt")
# AddNet Module 1: LoRA, AddNet Model 1:
# <lora:epiNoiseoffset_v2:0.6>
if 'lora' in parameter.lower():
loras2 = getloras(parameter)
if loras2 != None:
foundlora = True
print(f"loras2: {loras2}")
if ': LoRA' in parameter:
if'AddNet Model 1' in settings:
loras3 = settings['AddNet Model 1']
if loras3 == '':
print("There should be a Lora but it's missing")
else:
foundlora = True
print(f"loras3: {loras3}")
if'AddNet Model 2' in settings:
loras3 = f"{loras3}_{settings['AddNet Model 2']}"
if loras3 == '':
print("There should be a Lora but it's missing")
else:
foundlora = True
print(f"loras3: {loras3}")
if foundlora == False:
print("Investigate possibly")
else:
loras = loras1
if loras == None:
loras = loras2
if loras == None:
loras = loras3
print(f"{loras}")
else:
print("No parameters")
if hasparameters == False:
try:
parameter = img.info.get("prompt")
except Exception as e:
print(f"Error {e}")
if parameter is not None:
#print(filename + " has metadata.")
platform = "comfyUI"
hasparameters = True
badfile = False
#settings = parse_generation_parameters(parameter)
continue
try:
json_data = json.loads(parameter)
model = json_data.get('1', {}).get('inputs',{}).get('ckpt_name', None).replace('.safetensors','')
positiveprompt = json_data.get('1', {}).get('inputs',{}).get('positive', None)
negativeprompt = json_data.get('1', {}).get('inputs',{}).get('negative', None)
seed = json_data.get('1', {}).get('inputs',{}).get('seed', None)
steps = json_data.get('2', {}).get('inputs',{}).get('steps', None)
cfg = json_data.get('2', {}).get('inputs',{}).get('cfg', None)
sampler = json_data.get('2', {}).get('inputs',{}).get('sampler_name', None)
except Exception as e:
print(f"Error {file_path}. {e}. \nPress a key to continue")
input()
loras = None
print("we don't handle comfyui yet")
else:
print("No prompt")
if hasparameters == False:
try:
parameter = img.info.get("Software")
except Exception as e:
print(f"Error {e}")
if parameter is not None:
if 'NovelAI' in parameter:
print("NovelAI Picture")
platform = "NovelAI"
hasparameters = True
badfile = False
#settings = parse_generation_parameters(parameter)
json_data = json.loads(img.info.get("Comment"))
json_string = json.dumps(json_data, separators=(',', ':')).lower()
#uc is undesired content i.e. negative prompt
steps = json_data['steps']
seed = json_data['seed']
sampler = json_data['sampler']
#strength = json_data['strength']
#noise = json_data['noise']
#scale = json_data['scale']
negativeprompt = json_data['uc']
model = None
loras = None
#model
#loras
positiveprompt = img.info.get("Description").lower()
#print("we don't handle comfyui yet")
else:
print("No parameters")
if hasparameters == False:
badfile = True
if positiveprompt == None: positiveprompt = ""
if negativeprompt == None: negativeprompt = ""
if dump_prompt == True and positiveprompt != "":
if not os.path.exists(csv_filename_prompts):
with open(csv_filename_prompts, 'w', newline='', encoding='utf-8') as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerow(['filename', 'positive prompt', 'negative prompt'])
csv_writer.writerows([filename,positiveprompt,negativeprompt])
else:
with open(csv_filename_prompts, 'a', newline='', encoding='utf-8') as csv_file:
csv_writer = csv.writer(csv_file)
csv_writer.writerows([filename,positiveprompt,negativeprompt])
if renamefiles == True and hasparameters == True:
new_filename = ""
if platform is not None:
new_filename = f"{new_filename}{platform}_"
print ("model is " + platform)
else:
new_filename = f"{new_filename}noplatform_"
if model is not None:
new_filename = f"{new_filename}{model}_"
print ("model is " + model)
else:
new_filename = f"{new_filename}nomodel_"
if seed is not None:
print("Seed is " + str(seed))
new_filename = f"{new_filename}{seed}_"
else:
new_filename = f"{new_filename}noseed_"
#new_filename = new_filename + '_' + get_sanitised_download_time(file_path) + '_'
# os.path.splitext(filename)[1]
if loras != None:
loras_sanitised = sanitise_path_name(loras)
if loras_sanitised != "":
new_filename = f"{new_filename}loras_{loras_sanitised}"
#else:
# print("uses no loras")
new_filename = new_filename + os.path.splitext(filename)[1]
new_filename = sanitise_path_name(new_filename)
new_item_path = os.path.join(root, new_filename)
print(new_item_path)
if file_path not in new_item_path:
try:
shutil.move(file_path, new_item_path)
except Exception as e:
print(str(e))
else:
print("doesn't need renaming. Src and dest are the same: " + file_path + ' ' + new_item_path)
else:
new_item_path = file_path
if positiveprompt != "":
#write_to_log(log_file, new_item_path + " . " + positiveprompt)
# Calculate an MD5 hash of the section content
if comparebymd5 == True:
section_hash = hashlib.md5(positiveprompt.encode()).hexdigest()
msg = new_item_path + " . " + section_hash
print(msg)
write_to_log(log_file, msg)