error not loading in desktop ver 3.63

[mr-purr]

After I updated to the latest version, I get this error msg.
Error message occurred while importing the 'ComfyUI-SaveImageWithMetaData' module.

Traceback (most recent call last):
File "C:\Users\space\AppData\Local\Programs@comfyorgcomfyui-electron\resources\ComfyUI\nodes.py", line 2133, in load_custom_node
module_spec.loader.exec_module(module)
File "", line 999, in exec_module
File "", line 488, in call_with_frames_removed
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata_init.py", line 1, in
from .py.nodes.node import SaveImageWithMetaData, CreateExtraMetaData
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py_init_.py", line 3, in
from .hook import pre_execute, pre_get_input_data
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\hook.py", line 1, in
from .nodes.node import SaveImageWithMetaData
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\nodes\node.py", line 19, in
from ..capture import Capture
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\capture.py", line 5, in
from .defs.captures import CAPTURE_FIELD_LIST
File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\defs_init_.py", line 16, in
module = importlib.import_module(package_name)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\space\AppData\Roaming\uv\python\cpython-3.12.9-windows-x86_64-none\Lib\importlib_init_.py", line 90, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'custom_nodes.ComfyUI-SaveImageWithMetaData.py.defs.ext.ComfyUI-FluxSettingsNode'

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Any help would be appreciated

[DotPoker2]

After I updated to the latest version, I get this error msg. Error message occurred while importing the 'ComfyUI-SaveImageWithMetaData' module.

Traceback (most recent call last): File "C:\Users\space\AppData\Local\Programs@comfyorgcomfyui-electron\resources\ComfyUI\nodes.py", line 2133, in load_custom_node module_spec.loader.exec_module(module) File "", line 999, in exec_module File "", line 488, in call_with_frames_removed File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata__init_.py", line 1, in from .py.nodes.node import SaveImageWithMetaData, CreateExtraMetaData File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py__init__.py", line 3, in from .hook import pre_execute, pre_get_input_data File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\hook.py", line 1, in from .nodes.node import SaveImageWithMetaData File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\nodes\node.py", line 19, in from ..capture import Capture File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\capture.py", line 5, in from .defs.captures import CAPTURE_FIELD_LIST File "C:\Users\space\Documents\ComfyUI\custom_nodes\comfyui-saveimagewithmetadata\py\defs__init__.py", line 16, in module = importlib.import_module(package_name) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\space\AppData\Roaming\uv\python\cpython-3.12.9-windows-x86_64-none\Lib\importlib__init__.py", line 90, in import_module return _bootstrap._gcd_import(name[level:], package, level) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ModuleNotFoundError: No module named 'custom_nodes.ComfyUI-SaveImageWithMetaData.py.defs.ext.ComfyUI-FluxSettingsNode'

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Any help would be appreciated

I'm getting this too and also No module named 'comfy.sd2_clip', tried switching versions with no success, guess the comfyui updates broke the extension.

[HoLa-Its-Just-Me]

the owner for this repo is not updating it! so u need to do some code modifications , go to ComfyUI-SaveImageWithMetaData\py\defs and replace the code with this in the init,py and easyuse_nodes.py
import os
import glob
import importlib
import logging

Ensure these are initialized as dictionaries or sets before calling the loader

from .captures import CAPTURE_FIELD_LIST
from .samplers import SAMPLERS

def load_external_extensions():
"""
Dynamically loads all .py modules from the 'ext' subdirectory
and merges their configuration into the global lists.
"""
# 1. Use os.path.join for cross-platform compatibility (Windows/Linux)
dir_name = os.path.dirname(os.path.abspath(file))
ext_pattern = os.path.join(dir_name, "ext", "*.py")

# 2. Identify the current package context dynamically
# This replaces hardcoded "custom_nodes.ComfyUI-SaveImageWithMetaData..."
base_package = __package__ if __package__ else ""

for module_path in glob.glob(ext_pattern):
    module_file = os.path.basename(module_path)
    
    # Skip __init__.py and non-python files
    if module_file == "__init__.py":
        continue
        
    module_name = os.path.splitext(module_file)[0]
    
    # 3. Construct the relative package path
    # Example: if __package__ is 'custom_nodes.my_node', 
    # this becomes 'custom_nodes.my_node.ext.module_name'
    full_module_path = f"{base_package}.ext.{module_name}"
    
    try:
        # 4. Import the module using the established package anchor
        module = importlib.import_module(full_module_path)
        
        # 5. Safely extract and update data
        # Use .get() or getattr() with a default empty dict to prevent crashes
        ext_capture = getattr(module, "CAPTURE_FIELD_LIST", {})
        ext_samplers = getattr(module, "SAMPLERS", {})
        
        if isinstance(ext_capture, dict):
            CAPTURE_FIELD_LIST.update(ext_capture)
        
        if isinstance(ext_samplers, dict):
            SAMPLERS.update(ext_samplers)
            
    except (ImportError, AttributeError, Exception) as e:
        logging.error(f"SaveImageWithMetaData: Failed to load extension '{module_name}': {e}")

Call the loader

load_external_extensions()

then go to ComfyUI-SaveImageWithMetaData\py\defs\ext and edit easyuse_nodes.py, replace the code with this:

https://github.com/yolain/ComfyUI-Easy-Use

from ..meta import MetaField
from ..formatters import calc_model_hash, calc_lora_hash, convert_skip_clip
import re

def get_lora_model_name_stack(node_id, obj, prompt, extra_data, outputs, input_data):
toggled_on = input_data[0]["toggle"][0]

if toggled_on:
    # Fixed: Added 'r' prefix for raw string
    return get_lora_data_stack(input_data, r"lora_\d_name")
else:
    return []

def get_lora_model_hash_stack(node_id, obj, prompt, extra_data, outputs, input_data):
return [
calc_lora_hash(model_name, input_data)
# Fixed: Added 'r' prefix for raw string
for model_name in get_lora_data_stack(input_data, r"lora_\d_name")
]

def get_lora_strength_model_stack(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["mode"][0] == "advanced":
# Fixed: Added 'r' prefix for raw string
return get_lora_data_stack(input_data, r"lora_\d_model_strength")
# Fixed: Added 'r' prefix for raw string
return get_lora_data_stack(input_data, r"lora_\d_strength")

def get_lora_strength_clip_stack(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["mode"][0] == "advanced":
# Fixed: Added 'r' prefix for raw string
return get_lora_data_stack(input_data, r"lora_\d_clip_strength")
# Fixed: Added 'r' prefix for raw string
return get_lora_data_stack(input_data, r"lora_\d_strength")

def get_lora_data_stack(input_data, attribute):
lora_count = input_data[0]["num_loras"][0]
return [
v[0]
for k, v in input_data[0].items()
if re.search(attribute, k) is not None and v[0] != "None"
][:lora_count]

def get_lora_model_hash(node_id, obj, prompt, extra_data, outputs, input_data):
if input_data[0]["lora_name"][0] != "None":
return calc_lora_hash(input_data[0]["lora_name"][0], input_data)
else:
return ""

SAMPLERS = {
"easy fullkSampler": {
"positive": "positive",
"negative": "negative",
},
"easy preSampling": {},
"easy preSamplingAdvanced": {},
"easy preSamplingCascade": {},
"easy preSamplingCustom": {},
"easy preSamplingDynamicCFG": {},
"easy preSamplingLayerDiffusion": {},
"easy preSamplingNoiseIn": {},
"easy preSamplingSdTurbo": {}
}

CAPTURE_FIELD_LIST = {
"easy fullLoader": {
MetaField.MODEL_NAME: {"field_name": "ckpt_name"},
MetaField.MODEL_HASH: {"field_name": "ckpt_name", "format": calc_model_hash},
MetaField.CLIP_SKIP: {"field_name": "clip_skip", "format": convert_skip_clip},
MetaField.POSITIVE_PROMPT: {"field_name": "positive"},
MetaField.NEGATIVE_PROMPT: {"field_name": "negative"},
MetaField.IMAGE_WIDTH: {"field_name": "empty_latent_width"},
MetaField.IMAGE_HEIGHT: {"field_name": "empty_latent_height"},
MetaField.LORA_MODEL_NAME: {"field_name": "lora_name"},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash},
MetaField.LORA_STRENGTH_MODEL: {"field_name": "lora_model_strength"},
MetaField.LORA_STRENGTH_CLIP: {"field_name": "lora_clip_strength"},
},
"easy comfyLoader": {
MetaField.MODEL_NAME: {"field_name": "ckpt_name"},
MetaField.MODEL_HASH: {"field_name": "ckpt_name", "format": calc_model_hash},
MetaField.CLIP_SKIP: {"field_name": "clip_skip", "format": convert_skip_clip},
MetaField.POSITIVE_PROMPT: {"field_name": "positive"},
MetaField.NEGATIVE_PROMPT: {"field_name": "negative"},
MetaField.IMAGE_WIDTH: {"field_name": "empty_latent_width"},
MetaField.IMAGE_HEIGHT: {"field_name": "empty_latent_height"},
MetaField.LORA_MODEL_NAME: {"field_name": "lora_name"},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash},
MetaField.LORA_STRENGTH_MODEL: {"field_name": "lora_model_strength"},
MetaField.LORA_STRENGTH_CLIP: {"field_name": "lora_clip_strength"},
},
"easy fullkSampler": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSampling": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingAdvanced": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingCascade": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingCustom": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingDynamicCFG": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingLayerDiffusion": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingNoiseIn": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy preSamplingSdTurbo": {
MetaField.SEED: {"field_name": "seed"},
MetaField.STEPS: {"field_name": "steps"},
MetaField.CFG: {"field_name": "cfg"},
MetaField.SAMPLER_NAME: {"field_name": "sampler_name"},
MetaField.SCHEDULER: {"field_name": "scheduler"},
},
"easy loraStack": {
MetaField.LORA_MODEL_NAME: {"selector": get_lora_model_name_stack},
MetaField.LORA_MODEL_HASH: {"selector": get_lora_model_hash_stack},
MetaField.LORA_STRENGTH_MODEL: {"selector": get_lora_strength_model_stack},
MetaField.LORA_STRENGTH_CLIP: {"selector": get_lora_strength_clip_stack},
},
}