ellangok / comfyui-post-processing-nodes Goto Github PK

FileNotFoundError: [Errno 2] No such file or directory: 'F:\ComfyUI_Portable\ComfyUI\custom_nodes\ComfyUI-post-processing-nodes\init.py'

Cannot import F:\ComfyUI_Portable\ComfyUI\custom_nodes\ComfyUI-post-processing-nodes module for custom nodes: [Errno 2] No such file or directory: 'F:\ComfyUI_Portable\ComfyUI\custom_nodes\ComfyUI-post-processing-nodes\init.py'

Vignette effect is not working:

`Error occurred when executing Vignette:

Vignette.apply_vignette() got an unexpected keyword argument 'a'

File "C:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 152, in recursive_execute
output_data, output_ui = get_output_data(obj, input_data_all)
File "C:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 82, in get_output_data
return_values = map_node_over_list(obj, input_data_all, obj.FUNCTION, allow_interrupt=True)
File "C:\AI\ComfyUI_windows_portable\ComfyUI\execution.py", line 75, in map_node_over_list
results.append(getattr(obj, func)(**slice_dict(input_data_all, i)))
`

This is a typo where an old 'a' is still in parameters descriptions in stead of 'vignette', as is the parameter name in 'apply_vignette'.
fix: vignette.py line 13 "a" => "vignette"

Good job on these node btw!

Sharpen.sharpen() got an unexpected keyword argument 'sharpen_radius'

Please can you add a "divide" blending mode to the arithmetic blend node?

combined_nodes.py contains only CannyEdgeDetection and GaussianBlur

Vignette.apply_vignette() got an unexpected keyword argument 'a'

A similar type of error that I had with Sharpen.

As per the title, even on the lowest setting of "1" it darkens the whole image. Would it be possible for it to only affect the border (which is what the vignette should do) instead of the whole image? I'm looking to reproduce something like this, where the image is still bright in the middle, but with a darker frame to it:

These are comparison images using the node set to "0", "1" and then "10", and you can see how "1" just seems to spread across the whole image:

numpy is not declared in Dither :

as it is:
import torch

class Dither:
def init(self):
pass

correct:
import torch
import numpy as np

class Dither:
def init(self):
pass