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save_image_extended.py
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save_image_extended.py
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import os
import re
import sys
import json
from PIL import Image
from PIL.PngImagePlugin import PngInfo
import numpy as np
import locale
from datetime import datetime
from pathlib import Path
sys.path.insert(0, os.path.join(os.path.dirname(os.path.realpath(__file__)), 'comfy'))
original_locale = locale.setlocale(locale.LC_TIME, '')
import folder_paths
class SaveImageExtended:
def __init__(self):
self.output_dir = folder_paths.get_output_directory()
self.type = 'output'
self.prefix_append = ''
@classmethod
def INPUT_TYPES(s):
return {
'required': {
'images': ('IMAGE', ),
'filename_prefix': ('STRING', {'default': 'myFile'}),
'filename_keys': ('STRING', {'default': 'steps, cfg', 'multiline': False}),
'foldername_prefix': ('STRING', {'default': 'myPix'}),
'foldername_keys': ('STRING', {'default': 'sampler_name, scheduler', 'multiline': False}),
'delimiter': (['underscore','dot', 'comma'], {'default': 'underscore'}),
'save_job_data': (['disabled', 'prompt', 'basic, prompt', 'basic, sampler, prompt', 'basic, models, sampler, prompt'],{'default': 'basic, prompt'}),
'job_data_per_image': (['disabled', 'enabled'],{'default': 'disabled'}),
'job_custom_text': ('STRING', {'default': '', 'multiline': False}),
'save_metadata': (['disabled', 'enabled'], {'default': 'enabled'}),
'counter_digits': ([2, 3, 4, 5, 6], {'default': 3}),
'counter_position': (['first', 'last'], {'default': 'last'}),
'one_counter_per_folder': (['disabled', 'enabled'], {'default': 'disabled'}),
'image_preview': (['disabled', 'enabled'], {'default': 'enabled'}),
},
"optional": {
"positive_text_opt": ("STRING", {"forceInput": True}),
"negative_text_opt": ("STRING", {"forceInput": True}),
},
'hidden': {'prompt': 'PROMPT', 'extra_pnginfo': 'EXTRA_PNGINFO'},
}
RETURN_TYPES = ()
FUNCTION = 'save_images'
OUTPUT_NODE = True
CATEGORY = 'image'
def get_subfolder_path(self, image_path, output_path):
image_path = Path(image_path).resolve()
output_path = Path(output_path).resolve()
relative_path = image_path.relative_to(output_path)
subfolder_path = relative_path.parent
return str(subfolder_path)
# Get current counter number from file names
def get_latest_counter(self, one_counter_per_folder, folder_path, filename_prefix, counter_digits, counter_position='last'):
counter = 1
if not os.path.exists(folder_path):
print(f"Folder {folder_path} does not exist, starting counter at 1.")
return counter
try:
files = [f for f in os.listdir(folder_path) if f.endswith('.png')]
if files:
if counter_position == 'last':
counters = [int(f[-(4 + counter_digits):-4]) if f[-(4 + counter_digits):-4].isdigit() else 0 for f in files if one_counter_per_folder == 'enabled' or f.startswith(filename_prefix)]
elif counter_position == 'first':
counters = [int(f[:counter_digits]) if f[:counter_digits].isdigit() else 0 for f in files if one_counter_per_folder == 'enabled' or f[counter_digits +1:].startswith(filename_prefix)]
else:
print("Invalid counter_position. Using 'last' as default.")
counters = [int(f[-(4 + counter_digits):-4]) if f[-(4 + counter_digits):-4].isdigit() else 0 for f in files if one_counter_per_folder == 'enabled' or f.startswith(filename_prefix)]
if counters:
counter = max(counters) + 1
except Exception as e:
print(f"An error occurred while finding the latest counter: {e}")
return counter
@staticmethod
def find_keys_recursively(d, keys_to_find, found_values):
for key, value in d.items():
if key in keys_to_find:
found_values[key] = value
if isinstance(value, dict):
SaveImageExtended.find_keys_recursively(value, keys_to_find, found_values)
@staticmethod
def remove_file_extension(value):
if isinstance(value, str) and value.endswith('.safetensors'):
base_value = os.path.basename(value)
value = base_value[:-12]
if isinstance(value, str) and value.endswith('.pt'):
base_value = os.path.basename(value)
value = base_value[:-3]
return value
@staticmethod
def find_parameter_values(target_keys, obj, found_values=None):
if found_values is None:
found_values = {}
if not isinstance(target_keys, list):
target_keys = [target_keys]
loras_string = ''
for key, value in obj.items():
if 'loras' in target_keys:
# Match both formats: lora_xx and lora_name_x
if re.match(r'lora(_name)?(_\d+)?', key):
if value.endswith('.safetensors'):
value = SaveImageExtended.remove_file_extension(value)
if value != 'None':
loras_string += f'{value}, '
if key in target_keys:
if (isinstance(value, str) and value.endswith('.safetensors')) or (isinstance(value, str) and value.endswith('.pt')):
value = SaveImageExtended.remove_file_extension(value)
found_values[key] = value
if isinstance(value, dict):
SaveImageExtended.find_parameter_values(target_keys, value, found_values)
if 'loras' in target_keys and loras_string:
found_values['loras'] = loras_string.strip(', ')
if len(target_keys) == 1:
return found_values.get(target_keys[0], None)
return found_values
@staticmethod
def generate_custom_name(keys_to_extract, prefix, delimiter_char, resolution, prompt):
custom_name = prefix
if prompt is not None and len(keys_to_extract) > 0:
found_values = {'resolution': resolution}
SaveImageExtended.find_keys_recursively(prompt, keys_to_extract, found_values)
for key in keys_to_extract:
value = found_values.get(key)
if value is not None:
if key == 'cfg' or key =='denoise':
try:
value = round(float(value), 1)
except ValueError:
pass
if (isinstance(value, str) and value.endswith('.safetensors')) or (isinstance(value, str) and value.endswith('.pt')):
value = SaveImageExtended.remove_file_extension(value)
custom_name += f'{delimiter_char}{value}'
return custom_name.strip(delimiter_char)
@staticmethod
def save_job_to_json(save_job_data, prompt, filename_prefix, positive_text_opt, negative_text_opt, job_custom_text, resolution, output_path, filename):
prompt_keys_to_save = {}
if 'basic' in save_job_data:
if len(filename_prefix) > 0:
prompt_keys_to_save['filename_prefix'] = filename_prefix
prompt_keys_to_save['resolution'] = resolution
if len(job_custom_text) > 0:
prompt_keys_to_save['custom_text'] = job_custom_text
if 'models' in save_job_data:
models = SaveImageExtended.find_parameter_values(['ckpt_name', 'loras', 'vae_name', 'model_name'], prompt)
if models.get('ckpt_name'):
prompt_keys_to_save['checkpoint'] = models['ckpt_name']
if models.get('loras'):
prompt_keys_to_save['loras'] = models['loras']
if models.get('vae_name'):
prompt_keys_to_save['vae'] = models['vae_name']
if models.get('model_name'):
prompt_keys_to_save['upscale_model'] = models['model_name']
if 'sampler' in save_job_data:
prompt_keys_to_save['sampler_parameters'] = SaveImageExtended.find_parameter_values(['seed', 'steps', 'cfg', 'sampler_name', 'scheduler', 'denoise'], prompt)
if 'prompt' in save_job_data:
if positive_text_opt is not None:
if not (isinstance(positive_text_opt, list) and
len(positive_text_opt) == 2 and
isinstance(positive_text_opt[0], str) and
len(positive_text_opt[0]) < 6 and
isinstance(positive_text_opt[1], (int, float))):
prompt_keys_to_save['positive_prompt'] = positive_text_opt
if negative_text_opt is not None:
if not (isinstance(positive_text_opt, list) and len(negative_text_opt) == 2 and isinstance(negative_text_opt[0], str) and isinstance(negative_text_opt[1], (int, float))):
prompt_keys_to_save['negative_prompt'] = negative_text_opt
#If no user input for prompts
if positive_text_opt is None and negative_text_opt is None:
if prompt is not None:
for key in prompt:
class_type = prompt[key].get('class_type', None)
inputs = prompt[key].get('inputs', {})
# Efficiency Loaders prompt structure
if class_type == 'Efficient Loader' or class_type == 'Eff. Loader SDXL':
if 'positive' in inputs and 'negative' in inputs:
prompt_keys_to_save['positive_prompt'] = inputs.get('positive')
prompt_keys_to_save['negative_prompt'] = inputs.get('negative')
# KSampler/UltimateSDUpscale prompt structure
elif class_type == 'KSampler' or class_type == 'KSamplerAdvanced' or class_type == 'UltimateSDUpscale':
positive_ref = inputs.get('positive', [])[0] if 'positive' in inputs else None
negative_ref = inputs.get('negative', [])[0] if 'negative' in inputs else None
positive_text = prompt.get(str(positive_ref), {}).get('inputs', {}).get('text', None)
negative_text = prompt.get(str(negative_ref), {}).get('inputs', {}).get('text', None)
# If we get non text inputs
if positive_text is not None:
if isinstance(positive_text, list):
if len(positive_text) == 2:
if isinstance(positive_text[0], str) and len(positive_text[0]) < 6:
if isinstance(positive_text[1], (int, float)):
continue
prompt_keys_to_save['positive_prompt'] = positive_text
if negative_text is not None:
if isinstance(negative_text, list):
if len(negative_text) == 2:
if isinstance(negative_text[0], str) and len(negative_text[0]) < 6:
if isinstance(negative_text[1], (int, float)):
continue
prompt_keys_to_save['negative_prompt'] = negative_text
# Append data and save
json_file_path = os.path.join(output_path, filename)
existing_data = {}
if os.path.exists(json_file_path):
try:
with open(json_file_path, 'r') as f:
existing_data = json.load(f)
except json.JSONDecodeError:
print(f"The file {json_file_path} is empty or malformed. Initializing with empty data.")
existing_data = {}
timestamp = datetime.now().strftime('%c')
new_entry = {}
new_entry[timestamp] = prompt_keys_to_save
existing_data.update(new_entry)
with open(json_file_path, 'w') as f:
json.dump(existing_data, f, indent=4)
def save_images(self,
counter_digits,
counter_position,
one_counter_per_folder,
delimiter,
filename_keys,
foldername_keys,
images,
image_preview,
save_job_data,
job_data_per_image,
job_custom_text,
save_metadata,
filename_prefix='',
foldername_prefix='',
extra_pnginfo=None,
negative_text_opt=None,
positive_text_opt=None,
prompt=None
):
delimiter_char = "_" if delimiter =='underscore' else '.' if delimiter =='dot' else ','
# Get set resolution value
i = 255. * images[0].cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
resolution = f'{img.width}x{img.height}'
filename_keys_to_extract = [item.strip() for item in filename_keys.split(',')]
foldername_keys_to_extract = [item.strip() for item in foldername_keys.split(',')]
custom_filename = SaveImageExtended.generate_custom_name(filename_keys_to_extract, filename_prefix, delimiter_char, resolution, prompt)
custom_foldername = SaveImageExtended.generate_custom_name(foldername_keys_to_extract, foldername_prefix, delimiter_char, resolution, prompt)
# Create and save images
try:
full_output_folder, filename, _, _, custom_filename = folder_paths.get_save_image_path(custom_filename, self.output_dir, images[0].shape[1], images[0].shape[0])
output_path = os.path.join(full_output_folder, custom_foldername)
os.makedirs(output_path, exist_ok=True)
counter = self.get_latest_counter(one_counter_per_folder, output_path, filename, counter_digits, counter_position)
results = list()
for image in images:
i = 255. * image.cpu().numpy()
img = Image.fromarray(np.clip(i, 0, 255).astype(np.uint8))
metadata = None
if save_metadata == 'enabled':
metadata = PngInfo()
if prompt is not None:
metadata.add_text('prompt', json.dumps(prompt))
if extra_pnginfo is not None:
for x in extra_pnginfo:
metadata.add_text(x, json.dumps(extra_pnginfo[x]))
if counter_position == 'last':
file = f'{filename}{delimiter_char}{counter:0{counter_digits}}.png'
else:
file = f'{counter:0{counter_digits}}{delimiter_char}{filename}.png'
image_path = os.path.join(output_path, file)
img.save(image_path, pnginfo=metadata, compress_level=4)
if save_job_data != 'disabled' and job_data_per_image =='enabled':
SaveImageExtended.save_job_to_json(save_job_data, prompt, filename_prefix, positive_text_opt, negative_text_opt, job_custom_text, resolution, output_path, f'{file.strip(".png")}.json')
subfolder = self.get_subfolder_path(image_path, self.output_dir)
results.append({ 'filename': file, 'subfolder': subfolder, 'type': self.type})
counter += 1
if save_job_data != 'disabled' and job_data_per_image =='disabled':
SaveImageExtended.save_job_to_json(save_job_data, prompt, filename_prefix, positive_text_opt, negative_text_opt, job_custom_text, resolution, output_path, 'jobs.json')
except OSError as e:
print(f'An error occurred while creating the subfolder or saving the image: {e}')
else:
if image_preview == 'disabled':
results = list()
return { 'ui': { 'images': results } }
NODE_CLASS_MAPPINGS = {
'SaveImageExtended': SaveImageExtended,
}
NODE_DISPLAY_NAME_MAPPINGS = {
'SaveImageExtended': 'Save Image Extended',
}