What am I doing wrong? #11

asakleiman · 2023-08-16T10:10:45Z

asakleiman
Aug 16, 2023

I followed the install directions, but when I run comfyUI I get this:

I tried python -m pip install -U scikit-image and that installed stuff, but didn't clear the error.

Then, in Krita, I get 'cannot reach backend!' as Status if I point the Backend url to ComfyUI's address, though 'load workflow' seems to work, until I run it, and I get this:

TypeError
Python 3.8.1: C:\Program Files\Krita (x64)\bin\krita.exe
Wed Aug 16 03:03:46 2023

A problem occurred in a Python script.  Here is the sequence of
function calls leading up to the error, in the order they occurred.

 C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\pages\workflow.py in <lambda>()
   71         self.import_images.released.connect(script.action_get_last_images)
   72         self.run_this_workflow.released.connect(
   73             lambda: script.action_run_workflow(script.cfg(f"{self.prefix}_workflow", str))
   74         )
   75         self.workflow.textChanged.connect(
global script = <krita_comfy.script.Script object>
script.action_run_workflow = <bound method Script.action_run_workflow of <krita_comfy.script.Script object>>
script.cfg = <krita_comfy.config.Config object>
builtinstr = <class 'str'>

 C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\script.py in action_run_workflow(self=<krita_comfy.script.Script object>, workflow='{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}')
  613             return
  614         self.adjust_selection()
  615         self.apply_run_workflow(workflow)
  616 
  617     def action_update_controlnet_config(self):
self = <krita_comfy.script.Script object>
self.apply_run_workflow = <bound method Script.apply_run_workflow of <krita_comfy.script.Script object>>
workflow = '{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}'

 C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\script.py in apply_run_workflow(self=<krita_comfy.script.Script object>, workflow='{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}')
  490             mask_image = sel_image = self.get_selection_image()
  491 
  492         self.client.run_workflow(workflow, sel_image, mask_image, cb)
  493 
  494     def apply_get_last_images(self):
self = <krita_comfy.script.Script object>
self.client = <krita_comfy.client.Client object>
self.client.run_workflow = <bound method Client.run_workflow of <krita_comfy.client.Client object>>
workflow = '{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}'
sel_image = <PyQt5.QtGui.QImage object>
mask_image = <PyQt5.QtGui.QImage object>
cb = <function Script.basic_callback_crafter.<locals>.cb>

 C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\client.py in run_workflow(self=<krita_comfy.client.Client object>, workflow='{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}', src_img=<PyQt5.QtGui.QImage object>, mask=<PyQt5.QtGui.QImage object>, cb=<function Script.basic_callback_crafter.<locals>.cb>)
 1584 
 1585     def run_workflow(self, workflow, src_img, mask, cb=None):
 1586         params = self.restore_params(json.loads(workflow), src_img, mask)
 1587         self.get_images(params, cb)
 1588 
params undefined
self = <krita_comfy.client.Client object>
self.restore_params = <bound method Client.restore_params of <krita_comfy.client.Client object>>
global json = <module 'json' from 'C:\\Program Files\\Krita (x64)\\python\\python38.zip\\json\\__init__.pyc'>
json.loads = <function loads>
workflow = '{\n    "last_node_id": 15,\n    "last_link_id": 29...onfig": {},\n    "extra": {},\n    "version": 0.4\n}'
src_img = <PyQt5.QtGui.QImage object>
mask = <PyQt5.QtGui.QImage object>

 C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\client.py in restore_params(self=<krita_comfy.client.Client object>, params={'config': {}, 'extra': {}, 'groups': [], 'last_link_id': 29, 'last_node_id': 15, 'links': [[1, 1, 1, 2, 0, 'CLIP'], [5, 3, 0, 5, 1, 'CONDITIONING'], [6, 4, 0, 5, 2, 'CONDITIONING'], [7, 6, 0, 5, 3, 'LATENT'], [8, 7, 0, 9, 0, 'IMAGE'], [9, 5, 0, 7, 0, 'LATENT'], [11, 1, 0, 10, 0, 'MODEL'], [12, 2, 0, 10, 1, 'CLIP'], [13, 10, 0, 11, 0, 'MODEL'], [14, 10, 1, 11, 1, 'CLIP'], [15, 11, 0, 12, 0, 'MODEL'], [16, 11, 1, 12, 1, 'CLIP'], [23, 14, 0, 5, 4, 'FLOAT'], [24, 7, 0, 15, 0, 'IMAGE'], [25, 10, 0, 5, 0, 'MODEL'], [26, 10, 1, 3, 0, 'CLIP'], [28, 10, 1, 4, 0, 'CLIP'], [29, 1, 2, 7, 1, 'VAE']], 'nodes': [{'flags': {}, 'id': 6, 'mode': 0, 'order': 0, 'outputs': [{'links': [7], 'name': 'LATENT', 'type': 'LATENT'}], 'pos': [100, 358], 'properties': {'Node name for S&R': 'EmptyLatentImage'}, 'size': {'0': 315, '1': 106}, 'type': 'EmptyLatentImage', 'widgets_values': [512, 768, 1]}, {'flags': {}, 'id': 9, 'inputs': [{'link': 8, 'name': 'images', 'type': 'IMAGE'}], 'mode': 0, 'order': 12, 'pos': [3400, 130], 'properties': {}, 'size': {'0': 315, '1': 250}, 'type': 'SaveImage', 'widgets_values': ['ComfyUI']}, {'flags': {}, 'id': 12, 'inputs': [{'link': 15, 'name': 'model', 'type': 'MODEL'}, {'link': 16, 'name': 'clip', 'type': 'CLIP'}], 'mode': 0, 'order': 9, 'outputs': [{'links': [], 'name': 'MODEL', 'type': 'MODEL'}, {'links': [], 'name': 'CLIP', 'type': 'CLIP'}], 'pos': [1733, 309], 'properties': {'Node name for S&R': 'LoraLoader'}, 'size': {'0': 315, '1': 126}, 'type': 'LoraLoader', ...}, {'flags': {}, 'id': 11, 'inputs': [{'link': 13, 'name': 'model', 'type': 'MODEL'}, {'link': 14, 'name': 'clip', 'type': 'CLIP'}], 'mode': 0, 'order': 6, 'outputs': [{'links': [15], 'name': 'MODEL', 'type': 'MODEL'}, {'links': [16], 'name': 'CLIP', 'type': 'CLIP'}], 'pos': [1329, 302], 'properties': {'Node name for S&R': 'LoraLoader'}, 'size': {'0': 315, '1': 126}, 'type': 'LoraLoader', ...}, {'flags': {}, 'id': 3, 'inputs': [{'link': 26, 'name': 'clip', 'type': 'CLIP'}], 'mode': 0, 'order': 7, 'outputs': [{'links': [5], 'name': 'CONDITIONING', 'type': 'CONDITIONING'}], 'pos': [2058, -103], 'properties': {'Node name for S&R': 'CLIPTextEncode'}, 'size': {'0': 400, '1': 200}, 'type': 'CLIPTextEncode', ...}, {'flags': {}, 'id': 8, 'mode': 0, 'order': 1, 'outputs': [{'links': [], 'name': 'VAE', 'type': 'VAE'}], 'pos': [100, 594], 'properties': {'Node name for S&R': 'VAELoader'}, 'size': {'0': 315, '1': 58}, 'type': 'VAELoader', 'widgets_values': ['VAE.pt']}, {'flags': {}, 'id': 1, 'mode': 0, 'order': 2, 'outputs': [{'links': [11], 'name': 'MODEL', 'type': 'MODEL'}, {'links': [1], 'name': 'CLIP', 'type': 'CLIP'}, {'links': [29], 'name': 'VAE', 'slot_index': 2, 'type': 'VAE'}], 'pos': [100, 130], 'properties': {'Node name for S&R': 'CheckpointLoaderSimple'}, 'size': {'0': 315, '1': 98}, 'type': 'CheckpointLoaderSimple', 'widgets_values': ['kavkaMixVersion16_v16.safetensors']}, {'flags': {}, 'id': 7, 'inputs': [{'link': 9, 'name': 'samples', 'type': 'LATENT'}, {'link': 29, 'name': 'vae', 'type': 'VAE'}], 'mode': 0, 'order': 11, 'outputs': [{'links': [8, 24], 'name': 'IMAGE', 'slot_index': 0, 'type': 'IMAGE'}], 'pos': [2738, 643], 'properties': {'Node name for S&R': 'VAEDecode'}, 'size': {'0': 210, '1': 46}, 'type': 'VAEDecode'}, {'flags': {}, 'id': 2, 'inputs': [{'link': 1, 'name': 'clip', 'type': 'CLIP'}], 'mode': 0, 'order': 4, 'outputs': [{'links': [12], 'name': 'CLIP', 'type': 'CLIP'}], 'pos': [572, 114], 'properties': {'Node name for S&R': 'CLIPSetLastLayer'}, 'size': {'0': 315, '1': 58}, 'type': 'CLIPSetLastLayer', ...}, {'flags': {}, 'id': 14, 'mode': 0, 'order': 3, 'outputs': [{'links': [23], 'name': 'FLOAT', 'slot_index': 0, 'type': 'FLOAT', 'widget': {'config': [...], 'name': 'cfg'}}], 'pos': [2687, 498], 'properties': {}, 'size': {'0': 210, '1': 82}, 'type': 'PrimitiveNode', 'widgets_values': [7.5, False]}, {'flags': {}, 'id': 5, 'inputs': [{'link': 25, 'name': 'model', 'type': 'MODEL'}, {'link': 5, 'name': 'positive', 'type': 'CONDITIONING'}, {'link': 6, 'name': 'negative', 'type': 'CONDITIONING'}, {'link': 7, 'name': 'latent_image', 'type': 'LATENT'}, {'link': 23, 'name': 'cfg', 'slot_index': 4, 'type': 'FLOAT', 'widget': {'config': [...], 'name': 'cfg'}}], 'mode': 0, 'order': 10, 'outputs': [{'links': [9], 'name': 'LATENT', 'type': 'LATENT'}], 'pos': [2675, 130], 'properties': {'Node name for S&R': 'KSampler'}, 'size': {'0': 315, '1': 262}, 'type': 'KSampler', ...}, {'flags': {}, 'id': 10, 'inputs': [{'link': 11, 'name': 'model', 'type': 'MODEL'}, {'link': 12, 'name': 'clip', 'type': 'CLIP'}], 'mode': 0, 'order': 5, 'outputs': [{'links': [13, 25], 'name': 'MODEL', 'slot_index': 0, 'type': 'MODEL'}, {'links': [14, 26, 28], 'name': 'CLIP', 'slot_index': 1, 'type': 'CLIP'}], 'pos': [953, 99], 'properties': {'Node name for S&R': 'LoraLoader'}, 'size': {'0': 315, '1': 126}, 'type': 'LoraLoader', ...}, {'flags': {}, 'id': 4, 'inputs': [{'link': 28, 'name': 'clip', 'slot_index': 0, 'type': 'CLIP'}], 'mode': 0, 'order': 8, 'outputs': [{'links': [6], 'name': 'CONDITIONING', 'type': 'CONDITIONING'}], 'pos': [2131, 209], 'properties': {'Node name for S&R': 'CLIPTextEncode'}, 'size': {'0': 400, '1': 200}, 'type': 'CLIPTextEncode', ...}, {'flags': {}, 'id': 15, 'inputs': [{'link': 24, 'name': 'images', 'type': 'IMAGE'}], 'mode': 0, 'order': 13, 'pos': [2488, -114], 'properties': {'Node name for S&R': 'PreviewImage'}, 'size': {'0': 210, '1': 250}, 'type': 'PreviewImage'}], 'version': 0.4}, src_img=<PyQt5.QtGui.QImage object>, mask=<PyQt5.QtGui.QImage object>)
 1570             workflow_image_data = self.cfg("workflow_img_data", dict)[mode]
 1571         for node_id, node in params.items():
 1572             if node["class_type"] in ["LoadBase64Image", "LoadBase64ImageMask"]:
 1573                 for input_key, input_value in node["inputs"].items():
 1574                     if workflow_image_data is not None and input_value == PRUNED_DATA and \
node = 15
TypeError: 'int' object is not subscriptable
    __cause__ = None
    __class__ = <class 'TypeError'>
    __context__ = None
    __delattr__ = <method-wrapper '__delattr__' of TypeError object>
    __dict__ = {}
    __dir__ = <built-in method __dir__ of TypeError object>
    __doc__ = 'Inappropriate argument type.'
    __eq__ = <method-wrapper '__eq__' of TypeError object>
    __format__ = <built-in method __format__ of TypeError object>
    __ge__ = <method-wrapper '__ge__' of TypeError object>
    __getattribute__ = <method-wrapper '__getattribute__' of TypeError object>
    __gt__ = <method-wrapper '__gt__' of TypeError object>
    __hash__ = <method-wrapper '__hash__' of TypeError object>
    __init__ = <method-wrapper '__init__' of TypeError object>
    __init_subclass__ = <built-in method __init_subclass__ of type object>
    __le__ = <method-wrapper '__le__' of TypeError object>
    __lt__ = <method-wrapper '__lt__' of TypeError object>
    __ne__ = <method-wrapper '__ne__' of TypeError object>
    __new__ = <built-in method __new__ of type object>
    __reduce__ = <built-in method __reduce__ of TypeError object>
    __reduce_ex__ = <built-in method __reduce_ex__ of TypeError object>
    __repr__ = <method-wrapper '__repr__' of TypeError object>
    __setattr__ = <method-wrapper '__setattr__' of TypeError object>
    __setstate__ = <built-in method __setstate__ of TypeError object>
    __sizeof__ = <built-in method __sizeof__ of TypeError object>
    __str__ = <method-wrapper '__str__' of TypeError object>
    __subclasshook__ = <built-in method __subclasshook__ of type object>
    __suppress_context__ = False
    __traceback__ = <traceback object>
    args = ("'int' object is not subscriptable",)
    with_traceback = <built-in method with_traceback of TypeError object>

The above is a description of an error in a Python program.  Here is
the original traceback:

Traceback (most recent call last):
  File "C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\pages\workflow.py", line 73, in <lambda>
    lambda: script.action_run_workflow(script.cfg(f"{self.prefix}_workflow", str))
  File "C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\script.py", line 615, in action_run_workflow
    self.apply_run_workflow(workflow)
  File "C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\script.py", line 492, in apply_run_workflow
    self.client.run_workflow(workflow, sel_image, mask_image, cb)
  File "C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\client.py", line 1586, in run_workflow
    params = self.restore_params(json.loads(workflow), src_img, mask)
  File "C:\Users\studi\AppData\Roaming\krita\pykrita\krita_comfy\client.py", line 1572, in restore_params
    if node["class_type"] in ["LoadBase64Image", "LoadBase64ImageMask"]:
TypeError: 'int' object is not subscriptable

1 reply

JasonS09 Aug 16, 2023
Maintainer

Ok. When you tried to generate something. Did you get an output on the console or nothing at all? I'm noticing your txt2img tab says there was an error when reaching the backend but your workflow and controlnet tabs are saying there is a connection, which is odd.

asakleiman · 2023-08-16T20:28:03Z

asakleiman
Aug 16, 2023
Author

Krita doesn't do anything when I hit 'start txt2img', and the cmd window showing ComfyUI's backend doesn't show any new activity either.

2 replies

JasonS09 Aug 16, 2023
Maintainer

Have you tried restarting Krita? It's also odd that it doesn't do anything. You should at least see a new empty layer being generated.

asakleiman Aug 16, 2023
Author

No new empty layer, I'm afraid.

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What am I doing wrong? #11

asakleiman Aug 16, 2023

Replies: 11 comments · 3 replies

JasonS09 Aug 16, 2023 Maintainer

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JasonS09 Aug 16, 2023 Maintainer

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JasonS09 Aug 16, 2023 Maintainer

asakleiman Aug 16, 2023 Author

JasonS09 Aug 16, 2023 Maintainer

asakleiman Aug 16, 2023 Author

asakleiman
Aug 16, 2023

Replies: 11 comments 3 replies

JasonS09
Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09
Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09
Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09
Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09
Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09 Aug 16, 2023
Maintainer

asakleiman
Aug 16, 2023
Author

JasonS09 Aug 16, 2023
Maintainer

asakleiman Aug 16, 2023
Author