Node packVerificadoExterno

ComfyUI-nodes-hnmr

ComfyUI custom nodes - merge, grid (aka xyz-plot) and others

Fontegithub.com/CYBERLOOM-INC/ComfyUI-nodes-hnmr

Mantenedor@CYBERLOOM-INCUnratednota

Perfil do pacote

Status: Verificado
Publicador: @CYBERLOOM-INC
Fonte: GitHub

README

Disclaimer

This is only a fix implemented on top of the original ComfyUI-nodes-hnmr by hnmr293. The reason why this repo exists is because, hnmr293 has not been approving any pull requests for a while now, and I believe our community deserves to be able to use this amazing tool by hnmr293 without any issues. All credits go to:

ComfyUI custom nodes

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Examples

X/Y/Z-plot

seeds, steps, cfg scales and others

workflow link

xyz plot 1

models

workflow link

xyz plot 2

VAEs

workflow link

xyz plot 3

Merge

simple merge and merge block weighted (thanks for @bbc-mc)

BMW

workflow link

merge block weighted

Multi-BMW

BMW with multi-alpha like supermerger (thanks for @hako-mikan)

workflow link

multi merge block weighted

Latent visualization

visualization of 4-channel latent tensor

workflow link

latent visualization

Node List

Latent nodes

category	node name	input type	output type	desc.
latent	RandomLatentImage	`INT`, `INT`, `INT`	`LATENT`	(width, height, batch_size)
latent	VAEDecodeBatched	`LATENT`, `VAE`, `INT`	`IMAGE`	VAE decoding with specified batch size
latent	VAEEncodeBatched	`IMAGE`, `VAE`, `INT`	`LATENT`	VAE encoding with specified batch size
latent	LatentToImage	`LATENT`, `FLOAT`, `FLOAT`	`IMAGE`	convert 4-ch latent tensor to 4 grayscale images
latent	LatentToHist	`LATENT`, `...`	`IMAGE`	create a histogram of the input latent

Sampling nodes

category	node name	input type	output type	desc.
sampling	KSamplerSetting	`MODEL`, `CONDITIONING`, `CONDITIONING`, `LATENT`	`DICT`	aggregate sampler's setting to single dict
sampling	KSamplerOverrided	various	`LATENT`	override sampler's setting defined by `KSamplerSetting`
sampling	KSamplerXYZ	various	`LATENT`	generate latents with values

Model nodes and Loader nodes

category	node name	input type	output type	desc.
loader	StateDictLoader	(model name)	`DICT`	load state_dict
model	Dict2Model	`DICT`, (config_file)	`MODEL`	instantiate a model from given state_dict
model	StateDictMerger	`DICT`, `DICT`, `FLOAT`	`MODEL`, `CLIP`, `VAE`	merge two or three models
model	StateDictMergerBlockWeighted	`DICT`, `DICT`	`DICT`	merge two models with per-block weights
model	StateDictMergerBlockWeightedMulti	`MODEL`, `MODEL`, `STRING`	`MODEL`, `CLIP`, `VAE`	merge two models with per-block weights
model	SaveStateDict	`MODEL`, `STRING`, `STRING`	`-`	save state_dict to the output directory
model	ModelIter	`MODEL`, `MODEL`	`MODEL`	iterate models
model	CLIPlIter	`CLIP`, `CLIP`	`CLIP`	iterate CLIPs
model	VAElIter	`VAE`, `VAE`	`VAE`	iterate VAEs

Image nodes

category	node name	input type	output type	desc.
image	ImageBlend2	`IMAGE`, `IMAGE`, `FLOAT`, `STRING`	`IMAGE`	`ImageBlend` with extra blend modes
image	GridImage	`IMAGE`, `INT`, `INT`	`-`	generate single image with specific number of columns