ComfyUI: LINK
Github repo + nodes description: LINK
Leave suggestions and errors if you meet them
What's new in 0.5.0:
CombiningArea scaler
More user-friendly ui names
ALL nodes description moved to GitHUB
Tuples and so on moved to their own directory in UI
Simple* introduction:
Automate calculation depending on image sizes or something you want
easier(or not) editing multiple values of various nodes
Math
Modded scalers
Installing: unzip files in ComfyUI/custom_nodes folder
Should look like this:
For example (v0.5.0) there is an example how scaled ConditioningArea can improve image after scaled latent combining:
Only LatentCombine:
Combining preview:
LatentCombine with scaled ConditioningArea (640*360 to 1360*768):
Example of workflow i made for this located in: /Derfuu_ComfyUI_ModdedNodes/workflow_examples/
model: hPANTYHOSENEKO (sorry, couldn't find link)
negative promp: embedding:verybadimagenegative6400
TROUBLESHOOTING:
If there are troubles with different sizes, aside from *64, this may solve problem: found on GitHUB
This code is at the end of this file: /ComfyUI/comfy/ldm/modules/diffusionmodules/openaimodules.py
NOTES#2:
Debug nodes counts as OUTPUT nodes and can be used withowt image preview or save nodes to get results
P.S.:
All fixes wou can find or post on github, i look there too
If you catch error like: Calculated padded input size per channel: (2 x 82). Kernel size: (3 x 3). Kernel size can't be greater than actual input size. This MAY be because of too high or low offset you give to node
Description
Updated structure of nodes!!!
added:
GetSize nodes
Pow and Sqrt nodes
Trigonomery nodes
Type converters
Tuple node
String nodes (WIP)
updated:
ALL
FAQ
Comments (3)
So you're creating images by aspect ratio and max width/height in the example? Mind if I borrow from your idea for my Trig nodes set I'm working on?
Thank you so much for adding these!
Having a modified "conditioning set area" could round out the feature but its already incredible
looks very promising but when I've unzip the files to my custom nodes i'm gettting this error:
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