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ComfyUI-node-Lilly

Info

Slightly changed wildcards module:

  • it doesn't read all files each time, works faster if there are a lot of .txt files;
  • supports '*' and '**' patterns in wildcards;
  • supports .txt files in different encodings.

Install

Install chardet to your environment:

python -m pip install chardet

Go to ./custom_nodes and clone git repo:

cd ./custom_nodes
git clone https://github.com/kuriot/ComfyUI_node_Lilly.git

2023-03-22 05 54 43

Wildcards

ex

  • form a{b|{c|}|{d|e|}|f|}g____ my

  • to aeg quality_my, breasts, { |character_dress|dress_my}, shoulder, {high heels,| } {choker,| } {lora:__lora_lst__:__rora_num__,| } NSFW, NSFW_my, { |style_my,}

ex : {3$$a1|{b2|c3|}|d4|{-$$|f|g}|{-2$$h||i}|{1-$$j|k|}}/{$$l|m|}/{0$$n|}
{1|2|3} -> 1 or 2 or 3
{2$$a|b|c} -> a,b or b,c or c,a or bb or ....
{9$$a|b|c} ->  {3$$a|b|c} auto fix max count
{1-2$$a|b|c} -> 1~2 random choise
{-2$$a|b|c} -> {0-2$$a|b|c}  0-2
{1-$$a|b|c} -> {0-3$$a|b|c}  1-max
{-$$a|b|c} -> {0-3$$a|b|c}  0-max

run sample

python wildcards.py

python sample

import wildcards as w

# 가져올 파일 목록. get wildcards file
w.card_path=os.path.dirname(__file__)+"\\wildcards\\**\\*.txt"

# 실행 run
print(w.run("a{__b__|{c|}|{__d__|e|}|f|}g____ __my__"))

wildcards.py # modul file
wildcards/*.txt # wildcards file
wildcards/**/*.txt # wildcards file

txt file (UTF8)

# 주석
a,b
{b|c|__anotherfile__}
__anotherfile__

result

a,b
b
c
__anotherfile__

reload card

call wildcards.card_load() or wildcards.run("{9$$-$$a|b|c}",True)

For ComfyUI

CLIPTextEncodeWildcards

  • CLIPTextEncodeWildcards : no seed
  • CLIPTextEncodeWildcards : seed

2023-03-20 02 13 50

SimpleSampler+modelVAE

  • include wildcards

SimpleSampler+modelVAE

SimpleSampler

  • include wildcards

SimpleSampler

SimpleSamplerVAE

  • include wildcards

SimpleSamplerVAE

VAELoaderText , LoraLoaderText , CheckpointLoaderSimpleText

  • support file name Wildcard(?*)

2023-04-13 23 07 29 2023-04-13 23 07 49

random_sampler_node.py

2023-03-18 20 53 37

VAELoaderDecode.py

2023-03-18 20 52 27

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  • Python 100.0%