ComfyUI Local Install and ComfyUI Manager On Apple Silicon M1/M2/M3 Mac Full Tutorial

Summary

ビデオでは、MacにComfy UIをインストールし、その操作方法を紹介しています。Comfy UIは、より高度なAI画像生成ソフトウェアで、多くのオプションを提供し、ビデオ生成にも対応しています。インストールにはHomebrewとPythonが必要ですが、手順は比較的簡単です。Comfy UIを起動し、モデルを読み込む方法や、ポジティブ・ネガティブプロンプトを接続して画像生成を行うプロセスが解説されています。さらに、Comfy UIマネージャーを使用して、モデルのインストールや更新、ワークフローの再現も可能です。

Takeaways

• 😀 コミュイ（Comfy UI）はMacにインストールすることで、より高度なAI画像生成ソフトウェアとして自動1111を超越することができる。
• 🛠️ MacにComfy UIをインストールするには、HomebrewとPythonが必要なセットアッププロセスを経て、ターミナルを通じてコマンドを実行する必要がある。
• 🔗 安定性拡散（Stable Diffusion）を使用する場合、pytorchというディープラーニングフレームワークが必要なため、Macにインストールする必要がある。
• 📚 Comfy UIは複数のオプションと機能を提供しており、画像生成において高い柔軟性と制御が可能である。
• 🎥 Comfy UIはビデオ拡散にも対応しており、今後ビデオに関する説明動画が提供される予定である。
• 💻 Comfy UIはMac上で直接実行でき、Windowsと比較して異なるインストールプロセスを経る。
• 🔄 Comfy UIマネージャーを通じて、モデルのインストールや更新、欠落しているカスタムノードのインストールが可能である。
• 🖼️ Comfy UIを使用することで、特定の画像を再現するためのワークフローを視覚化し、再現性を高めることができる。
• 🔍 Comfy UIは高度な設定オプションを提供しており、ユーザーはそれらを調整して生成される画像の品質やスタイルを制御することができる。
• 🌐 Comfy UIに関するリソースとして、GitHub、Reddit、チュートリアルウェブサイトなどのコミュニティとサポートが存在する。

Q & A

なぜMacでComfyUIをインストールする必要があるのですか？

ComfyUIは、Mac用の画像生成ソフトウェアとして非常に優れており、Automatic 1111よりも多くの制御オプションを提供します。

ComfyUIのインストールを始める前に必要なものは何ですか？

HomebrewとPythonが必要です。

Homebrewをインストールする方法を教えてください。

Homebrewの公式サイト（brew.sh）にアクセスし、提供されるコマンドをターミナルに貼り付けて実行します。

Pythonをインストールする際に推奨されるバージョンは何ですか？

Python 3.10または3.11が推奨されます。

PyTorchのインストール手順を教えてください。

PyTorch公式サイト（pytorch.org）にアクセスし、プレビュー・ナイトリー版を選択してインストールコマンドをターミナルで実行します。

ComfyUIのインストール方法を教えてください。

ターミナルでgit cloneコマンドを使用してComfyUIをクローンし、ディレクトリ内でpip3 install -r requirements.txtコマンドを実行します。

モデルをComfyUIに読み込む方法は？

モデルファイルをComfyUIディレクトリ内のチェックポイントフォルダに移動し、ComfyUIを再起動します。

ComfyUIで画像生成を開始するにはどうすればよいですか？

ターミナルでpython3 main.pyコマンドを実行し、表示されるHTTPアドレスをブラウザに入力してComfyUIにアクセスします。

ComfyUIのノードとは何ですか？

ノードは、チェックポイント、プロンプト、サンプラーなどの画像生成に必要な各種設定を表す要素です。

ComfyUIマネージャーの役割は何ですか？

ComfyUIマネージャーは、モデルやノードのインストール・管理を容易にし、プログラムの機能を拡張します。

ComfyUIを他のシステムと共有する方法は？

ComfyUIで作成した画像をドラッグ＆ドロップしてワークフローを表示し、他のユーザーが同じ設定で画像を生成できるようにします。

ComfyUIでモデルパスを変更する方法は？

テキストエディタでextra_model_paths.yaml.exampleファイルを開き、適切なパスに変更して保存します。

ComfyUIのアップデート方法を教えてください。

ComfyUIマネージャーで「Update ComfyUI」または「Update All」を選択してアップデートします。

ComfyUIでノードをインストールする方法は？

ComfyUIマネージャーの「Install Custom Nodes」を使用して、必要なノードをインストールします。

ComfyUIの設定を変更するにはどうすればよいですか？

ComfyUIの設定メニューで、使用するカラースキームやその他の設定を変更できます。

Outlines

00:00

😊 ComfyUI for Mac Installation Overview

In this introductory paragraph, Chuku Bum explains the advantages of using ComfyUI over other AI image generation software on Mac, such as Automatic 1111 and Mid Journey. He highlights ComfyUI's robustness, control over image generation, and simplicity despite initial intimidation.

05:02

🔧 Installing Homebrew and Python

This paragraph guides users through installing Homebrew on their Mac, explaining the steps to download and verify the installation using the terminal. It also covers installing Python, recommending additional tools like cmake and git to support future use of Automatic 1111 alongside ComfyUI.

10:02

💻 Installing PyTorch and Cloning ComfyUI

Chuku Bum explains how to install PyTorch, a crucial framework for deep learning models, necessary for running ComfyUI. He then walks through cloning the ComfyUI repository into a preferred directory on the Mac, making it accessible and ready for further configuration.

15:04

📂 Configuring and Running ComfyUI

The paragraph details the process of setting up ComfyUI by installing required dependencies and running the main script to launch the interface. Chuku Bum emphasizes the need for a model checkpoint to generate images and demonstrates how to download and place the stable diffusion model in the appropriate directory.

20:04

📈 Understanding ComfyUI's Interface

Chuku Bum provides a crash course on using ComfyUI, explaining the roles of different nodes (e.g., checkpoint, prompt, sampler) and how to connect them. He discusses using the ComfyUI Manager for downloading models and custom nodes, showcasing the interface's flexibility and control.

25:04

🔄 Advanced Features and Resources

The final paragraph highlights advanced features like importing workflows, updating ComfyUI, and integrating models from Automatic 1111. Chuku Bum suggests resources for further learning, including GitHub, Reddit, and specific websites, encouraging users to explore and optimize their AI image generation setup.

Keywords

💡ComfyUI

ComfyUIは、Macで動作するAI画像生成ソフトウェアです。ビデオでは、このソフトが他の画像生成ツール、例えばAutomatic1111やMidJourneyよりも優れている理由について説明しています。ComfyUIは、画像生成の制御がしやすく、多くのオプションを提供しています。

💡Homebrew

Homebrewは、MacOS用のパッケージマネージャーです。ビデオでは、ComfyUIのセットアップに必要な最初のステップとしてHomebrewをインストールする方法が説明されています。

💡Python

Pythonは、プログラミング言語の一つで、ComfyUIやその他のAIツールの実行に必要です。ビデオでは、Homebrewを使ってPythonをインストールする手順が詳しく説明されています。

💡PyTorch

PyTorchは、深層学習モデルを構築するためのフレームワークです。ビデオでは、ComfyUIを動作させるためにPyTorchをインストールする方法が説明されています。PyTorchは、ChatGPTやStable DiffusionのようなAIの基盤となる技術です。

💡Terminal

Terminalは、MacOSのコマンドラインインターフェースです。ビデオでは、HomebrewやPythonのインストール、ComfyUIのセットアップにTerminalを使用する方法が示されています。

💡Git

Gitは、バージョン管理システムであり、ソースコードを管理するために使用されます。ビデオでは、ComfyUIをインストールするためにGitを使ってリポジトリをクローンする方法が説明されています。

💡Models

Models（モデル）は、AI画像生成のテンプレートです。ビデオでは、Stable Diffusion v1.5モデルをComfyUIにインストールする方法が説明されており、モデルが画像生成の基盤となることが強調されています。

💡Nodes

Nodes（ノード）は、ComfyUIの構成要素であり、各ノードが異なる機能を持っています。ビデオでは、プロンプトノード、サンプラーノードなど、画像生成に必要な各ノードの役割が説明されています。

💡Custom Nodes

Custom Nodes（カスタムノード）は、ComfyUIの機能を拡張するための追加要素です。ビデオでは、Custom Nodesをインストールし、ComfyUIの機能を強化する方法が説明されています。

💡Sampler

Sampler（サンプラー）は、画像生成のプロセスを制御するノードです。ビデオでは、サンプラーが画像の生成方法を決定する重要な役割を果たすことが説明されています。

Highlights

Chuku bum introduces Comfy UI as a superior AI image generation software for Mac, offering more control and options compared to Automatic 1111.

Comfy UI enables stable video diffusion and various other features, setting it apart from competitors like mid Journey.

The presenter emphasizes Comfy UI's ease of use and long-term learning benefits over Automatic 1111.

A step-by-step guide begins with the installation of Homebrew and Python, prerequisites for Comfy UI.

Instructions are provided for downloading Homebrew from brew.sh and installing it via the terminal.

The tutorial recommends installing additional tools like cmake, protuff, rust, and git for broader capabilities.

PyTorch, a framework for deep learning models, is highlighted as essential for Comfy UI's functionality.

Detailed steps are given for installing PyTorch from pytorch.org using the appropriate command in the terminal.

Comfy UI can be easily installed on Mac by cloning the repository, differing from the Windows installation process.

The presenter shares a personal challenge with the installation process and credits AI animation for assistance.

Comfy UI's interface is explored, explaining the nodes and their functions in the image generation workflow.

A demonstration of generating an image using Comfy UI is provided, showcasing the software's capabilities.

The importance of selecting the right model and its impact on VRAM usage is discussed.

The process of adding a model to Comfy UI and using it to generate an image is explained.

Comfy UI Manager is introduced as a tool for organizing and enhancing the software's capabilities.

The ability to install models and custom nodes directly through Comfy UI Manager is demonstrated.

Comfy UI's potential for real-time image generation with the addition of certain models like sdxl turbo is highlighted.

The presenter guides on how to use Comfy UI Manager to import and replicate previous workflows.

An overview of Comfy UI's settings and customization options is provided, including color schemes.

Resources for further learning and community engagement with Comfy UI are shared.

The video concludes with a summary of Comfy UI's benefits and a call to action for likes and subscriptions.

Transcripts

what is going on ladies and gentlemen

it's your boy chuku bum and I am here to

talk to you about how we're going to get

comfy UI installed on Mac and why would

you need comfy UI installed on Mac well

first off it's a much better AI image

generation software than automatic 1111

for Mac it's a very robust and probably

the best image generation software for

Mac as of right now you have way more

control over the types of images that

get created and allows for even more

options when it comes to image

generation let alone stable video

diffusion which you can expect a video

on very soon plus so many other options

for you that make it way better than

just using automatic 1111 or you know

maybe mid Journey or whatever the case

and it'll be right here on your Mac it's

just a win-win and although it can seem

a little daunting at first it's actually

very simple to use and in the long term

way better to get to learn than even

automatic 1111 would be so let's just

hop right into this and get started the

setup is going to be very similar to

what we did with automatic 1111 for Mac

with stable diffusion you're going to

need Homebrew and you're going to need

python so first we need to download home

brew so we're going to go to brew. sh

boom now you're at home brew and then

what's going to happen is you're going

to take this right here you could just

click this little copy button right here

you're going to take this copy button

and you're going to head to your

terminal if you don't know how to head

to your terminal you can click f4 on

your Mac and then you can type terminal

and then you'll get over there very

quickly and all you're going to do

you're just going to command V your this

bad boy you're going to paste it right

into here now I already have Homebrew so

it's pretty much just going to stay

installed but um you're just going to

run it and then you're going to say

checking for pseudo access D so you're

going to put in your laptop's password

it says this script will

install and then you press enter that's

perfectly fine now like I said I already

have it so it's going to just update

everything pretty much installation was

successful and all it did was update two

tabs but for you it would be a whole

thing like it would be like and then if

you want to make sure that you have home

brew you would just type Brew doctor

after you type in Brew doctor and then

it'll let you know if you have home brew

so he says your system is ready to brew

so that's cool that even they have a

nice sense of humor because you know

Brewing brewing a beer a brew you get it

now that we've installed Brew it's time

to install python now you could install

python alone that would be perfectly

fine and you would be able to get comfy

UI up and running with the next steps

that we provide but I want to give you

guys a little bit extra because you may

also in the long run want automatic 1111

so what I'm actually going to recommend

to you guys is that you come over to

this website right here the link will be

in the description below and what you're

going to do you're going to do Brew

install cmake protuff rust and python U

see this python is 3.10 you could always

do 3.11 that's the newest python that's

the newest stable python version and

then you know um Brew install git and

Brew install w G now these are all

things that actually will give you the

ability to run automatic 1111 rather

than just installing Python and then all

you can do is comfy UI so I'm definitely

trying to give you a little bit more

than what you would normally get but if

this is a little bit Overkill you could

just get rid of everything here and just

do Brew install python at 3.10 or 3.11

or you could just leave the threes alone

and just Brew install Python and you

would get Python and you could still

continue on with this tutorial but I

definitely do recommend that you take

this whole thing right here so I'm going

to take this whole thing and just to

show you what I mean when I say that you

can always just get rid of the rest

right if you want you could literally

just do Brew install python if you run

this that'll be perfectly fine in fact

I'll do it really quickly if we do Brew

install python see I already have python

so it's going to say python 3.11 more

specifically 3.1.6 one is already

installed and up todate so I don't need

to install anything it's asking me if I

would want to reinstall I don't need to

do that but you could run that and you'd

be good to go but me I'm going to run

the whole thing just to show you guys

again Brew install cmake Proto and

everything else because again just

python will work for comfy UI but if you

install everything else you'll also be

able to use automatic 1111 if you ever

decide to have that so I always like to

say better to have and not need than to

need and not have so we're going to run

this again Brew install C make Proto

above everything and again I already

have everything so it's just going to be

you know reinstall reinstall reinstall

but you guys would get like this long

list of stuff that's what you guys would

get and then you'd be good to go so now

that you've installed python along with

other things now it's time to install

pytorch and pytorch well look at it

right here pytorch is a fully featured

framework for building deep learning

models basically meaning that this is

what helps create chat gbt stable

diffusion mid Journey claw Bing AI all

these different AIS that we're getting

more and more used to seeing on a daily

basis it's built a lot by using py P

torch and so we need pytorch on our Mac

in order to get comfy UI up and running

now in order to get pytorch you're going

to come here to py torch. org get

started SL locally you're going to come

over here and you're going to click

preview nightly that's the type of pie

torch that we need that's going to run

on Mac so now we have preview nightly

again the OS is Mac the package is PIP

um the language will be Python and the

compute platform will be default I mean

it's pretty much already selected for

you the only thing that you got to

change is nightly and then once you have

this you're going to make sure that

you're going to uh take this right

you're going to take this code right

here copy it however you'd like and

you're going to come into this terminal

after you've run everything and you're

going to put pyour just like that and

it's going to run okay now again I have

it already I don't know I'm G that's

there going to be a theme in this video

I already have that so it says already

already installed already satisfied um

you guys would get something different

you get you guys would get like a whole

bunch of loading things and everything

like that but with me I'm getting

already satisfied so now we have Brew

Python and pytorch so we're just about

ready to get the ball rolling now that

we have everything that we need we're

going to install com fui onto our

MacBook and unlike trying to install com

fui on a Windows where you would have to

get clone comfy UI onto your windows and

then use a seven zip extractor to get it

out and do all this stuff with U Mac

it's actually really simple what you're

going to do you're just going to copy

this git clone right here and you're

going to pretty much CD into whichever

directory that you want to be in so

right now by default in my terminal I'm

in the root of my Mac so you can see you

could tell that by this little sign

right here this little like curvy sign I

forgot what that's called but if you

want to know where you are in your Mac

all you do is type

PWD and it'll show you I'm in the users

chukua directory right but what's in

that directory all you would do is type

LS and it will list everything that's in

that directory now me personally I'm

going to clone comfi onto my desktop you

can do do it into your downloads you can

do it into your documents folder you can

do whatever you'd like but I personally

love to put things on my desktop because

it's just easy access quick access so

I'm going to now move into that

directory by typing in CD and then

desktop boom now I'm in desktop and

again you can always check by doing PWD

and it says it right there users chub

Maga desktop so now we're going to get

clone comei onto our desktop and all you

have to do is command V now if you want

to make it more sturdy people would

probably get clone comi into another

folder because sometimes you may want

like all your AI stuff in one folder

like let's say automatic 11 comfy UI all

within an AI image generation folder but

for now I want to keep it simple and

just come and just clone it right there

onto my desktop so now that we have it

in our terminal we're in our desktop

we're going to say get clone we're going

to press enter and it's going to start

cloning in and it's pretty quick and you

could tell that it's there now because

you'll see comfy UI right here now that

we have comfy UI installed we're going

to need to run one more command but

before we do that I do want to show you

guys what the comfy UI would look like

so again if you open the comfy UI folder

you're going to see all these things and

this might say look a little daunting at

first but they all mean something and

it's not that hard I I'll teach you guys

and we'll walk through it but before we

go through all this there is one command

that needs to be run and I'm not going

to lie I actually had a hard time once I

got to this part of the installation

process and I would have to shout out AI

animation they really helped me with a

lot of this stuff right here AI

animation great YouTube channel talks

about all types of AI stuff and um they

actually literally they they actually

pretty much solved the issue here there

weren't a lot of there wasn't a lot of

info about how to get past this part or

at least get past this part correctly

and these guys really help me figure

that out so this this video probably

wouldn't even be possible as soon as

it's being made if not for AI animation

so definitely go show them some love I

got to really appreciate them but now

because of them we have the next step

and we're going to get even deeper like

I said now we have com fui here on our

desktop so now we need a CD into desktop

so we're going to CD into

desktop great we've cded into desktop

and what's funny is that as we're moving

through each folder path you'll see this

top part change it'll change into

wherever you are so that's a good way of

knowing where you are along with the PWD

command so now we're going to uh CD into

comfy UI you don't have to worry about

capitalization or anything it'll

automatically just go straight into that

one so CD into comi but again if you

never know it says it right here comi

and you see how I didn't have to worry

about capitalization uh Capital C

Capital UI it's it's the same exact

thing there and again if you ever want

to know where you are PWD and you'll

find it right there and you know one

more tip and trick if you type in CD

Dash it'll take you back into the

previous directory so now I'm back in

the desktop directory and you can see

that at at the top right here uh

reflecting that chain but we're going to

go back into com fui and we have to run

this command pip 3 install dasr

requirements. text now what does this

command do well if you go back into this

comfy UI folder you'll actually see it

right here requirements. text and if you

open that up it'll show you what is

actually needed to run comfy UI and

basically all that is going to do is

that once you run that command it's

going to run that script to get what's

needed for comfy UI so again we're just

going to ex out out of that and we're

going to run the command simple as that

so you see now again like I said I've

run this all before so you're going to

I'm getting requirement already

satisfied um but because it's already on

my Mac but some but you guys would get

like long loading things and everything

like that but it's still not that long

usually takes about a minute or two so

now we have comfy UI on our laptop Mac

whatever and let's run it while still

being in this directory you're going to

type in Python on 3

main.py okay now that that's just

activating this file right here that

actually runs comfyi so once you press

enter on this command it's going to

activate comfyi it's going to take a

little bit of time but it's going to

activate comfi and once comfyi is

activated you're going to take this HTTP

address right here you're going to copy

that bad boy you're going to paste that

bad boy right here and boom you have

comfyi ready to go oh actually not

really you don't have comfy UI ready to

go because you actually don't have any

models to use so look if you click right

here you need to load a checkpoint a

Model A Safe tensor you need this in

order for it to work and as you can see

right now it says undefined so if I try

to queue a prompt it will not work it'll

actually give me prompt outputs failed

validation so we need to go get a model

now when it comes to models different

models will actually require different

levels of vram so I'm actually going to

get like a nice chill model so that we

can run this very fast and very

effectively so the model we're going to

download for this one is a very chill

very usable stable diffusion v15 model

um obviously there are much better

models but it's it's just a nice stable

model that typically does not give a

hard time and it's still very fast to

use across all systems and we're going

to download the v15 pruned emo only safe

tensors be very wary about downloading

models with checkpoints checkpoints are

pretty much safe tensors they're pretty

much the same thing it's just that

checkpoints can carry malicious viruses

it can C it can carry malware and you

really do not want that so you want to

take the safe tensor route normally and

yeah you would just take that and you're

going to download it it'll take some

time a couple of minutes and once it's

downloaded I'll show you what to do next

awesome so now that it's downloaded

what's going to happen is that we're

going to open two finder windows or you

can open one I mean you can kind of do

however you want but here we have the

down downloads folder right you you're

going to navigate to where the downloads

folder is on one of them and you can see

where we have it v15 pruned Emil only

save tensors right now I need you to

navigate to your comfy UI folder and

then in that folder you're going to get

into the models folder and in that model

folder you're going to get into the

checkpoints folder and right here you're

going to say put checkpoints here now

again just to clear up any confusion a

checkpoint and a model and a save tensor

are all the same they're just templates

that stable diffusion uses to base the

images that you're generating off of it

can get much deeper than that but that's

basically what it is and you're just

going to move

this this into that there you have it so

now we have it in our checkpoints okay

great now you're going to come back to

where comfy UI is now you're going to

need to refresh this so you could this

is literally a web page so you could

literally um you know command R and

refresh it or you could click refresh

here perfectly fine either way that you

want to do it and now you'll see that

v15 uh prune EMA only save tensors is in

there so now we finally have a model and

we have our prompt beautiful scenery

nature glass bottle landscape purple

Galaxy bottle and then we have our

negative prompt which is text Watermark

now just to show you a little bit of how

this works well actually before I get

into how this works let's actually run

the prompt now that we've run the prompt

a few things that you can know is that

if you you can always just grab the

screen and move it around um on your

MacBook using your trackpad you just you

know scroll up and down to zoom up and

down comfyi typically much faster than

if you were to use automatic 1111 but

still know that Mac in general when it

comes to stable diffusion is a lot

slower than a good PC so there's still a

ways to go when it comes to stable

diffusion on Mac but using com fyuui

will on average be a lot faster than

trying automatic 11-11 and look wow look

at that look at what we got you know

look we got this nice little thing and

boom now you've generated your first

ever image so this is really great um

you don't have to just scroll in like

that you can also click on this and then

extend the image like so now we have our

first ever image but there's a few

things that you need to know about comfi

so this is going to turn into a little

bit of a crash course so first and

foremost this is where you load in your

checkpoint and your model from your

checkpoint and your model you have to

connect it to a prompt a positive prompt

and a negative prompt and you connect it

using these noodles so all you have to

do is take this little dot you would

click it and then you would connect it

to here or connect it to there and stuff

like that and that's basically what

happens with the clip the clip connects

to the positive and the negative prompt

and then the positive and the negative

prompt they connect well well

technically speaking neither of these

prompts are actually positive or

negative they're not determined until

these prompts are connected to the

positive and negative sources in this

sampler so you take this and it would

connect to negative and you would take

that and connect to positive so you can

actually literally see this I can

actually disconnect it so you see I just

disconnected it so now again they're

just prompts you don't they don't mean

anything until you finally connect it to

a positive or negative and you can

connect the bottom to positive or the

bottom to negative it doesn't really

matter just obviously for organizational

purposes negative is on the bottom

positive is on top then you have the

model now the model ption portion of

this connects to the sampler itself and

the sampler is what runs your image

generation the sampler is what kind of

creates the code and the process that

creates the image that we're seeing over

here right that's what the sampler does

and it has a lot of different settings

to it that oh we need not go into right

now but the sampler has a lot of

different settings and the more that you

adjust these settings the more that you

get and then you also have this latent

image and all this does is determine the

size of the image so if I change this

from you know uh 10 to 1080 you know

1080 by 1080 you would get a much bigger

picture of course but we're not going to

do that either right now and then this

connect to the decode and the decode is

what takes all the information and make

and packages it nicely to create the

image and place it right here so that's

kind of what this whole process is and

it's a set of noodles and all these are

called nodes by the way so they're

different nodes this is a checkpoint

node a prompt node a sampler node but

they're all nodes just for you to know

and com fui can get way more Swifty but

in order for it to get more shwifty

you're going to need one more thing

which is the comfy UI manager that helps

organize this whole stuff and add much

more to this and make this a much more

robust program than what we're seeing

right now so let's get into that so

you're going to come over to this link

and again everything in the video will

be linked down below the way that we're

going to do it there's a couple ways to

do it um but I like this way the most

cuz again when you learn the terminal

it's even better um what happen is that

you're going to CD into custom nodes so

we're going to actually show you another

nice way to do this see custom nodes let

me show you where custom nodes is custom

nodes is just another folder in your

comfy UI directory so you got to get

into custom nodes right now the thing is

that in order to get into custom nodes

yes you could do the CD into CD into CD

to get there but what you could do also

is that you can go to this terminal

right now what we're going to do

actually we're going to open up a new

terminal window just open up a new

window and what's going to happen now

you could now again you could actually

close the com UI if you want but I'm

just going to leave it running and we're

going to open up a new window and what's

going to happen is that we're going to

type CD so we're going to change

directory that's what CD stands for

change directory and you're going to

drag custom nodes in here and it's

actually going to copy the path file so

um or rather the path name and then you

just click enter and now you have cded

into custom nodes and again you can see

it right here custom nodes is right here

and you're going is going to go back to

the link and you're going to take this

whole thing get clone you're going to

get this whole thing get clone HTTP

GitHub and then now that you're in here

you're going to get clone it into custom

nose that

folder and you see it's going to clone

comfy UI into it so remember we still

have comfy UI running so now that we've

cloned The Comfy UI manager into comfy

UI you are going to need to stop the

comfy UI software from running and then

restart it so in order to do that all

you got to do is just X Out the terminal

that is running in pretty simple you

just exit out and that will terminate

comfy UI like as you can see right here

you'll see that it now turns into into

reconnecting because the terminal is no

is no longer running so we just got to

make our way back into the comfyi folder

so you again you can use the same method

CD into comy UI like I just did I

dragged and dropped it over there and

then we're going to do Python 3

main.py again and it's going to start

running everything up just like normal

and you're going to take that link and

you can you can actually highlight this

then double click it and then um open

link and it'll just open default into

the same same thing and then boom now

you're going to see something different

you're going to see manager and now

we're cooking with oil cuz check this

out now that you have the comf UI

manager there's going to be a lot of

things that you can do so first off you

can install models so you see how we

were taking models before we had to go

to hugging face or civid AI in order to

get models you don't need to do that

anymore at least for some models and

some nodes and some ups scalers and

things of that nature you can literally

just download them into comfy UI and

them from there so for example right

let's close this for a second as you can

see let's close this as you can see we

only have one model to use v15 pruned

okay great when you go into

manager and you click install models

right there are different types here

there's upscale models that's for making

the the the face better there's face

restore models that help to rebuild the

face if the AI gets it wrong and so on

and so forth and then there are

checkpoint points this one is for stable

diffusion video models which we will get

into um on another video but then there

are some St some regular ones like

checkpoints that you can use like sdxl

turbo there's also control net there's a

lot of things that you can do here but

for now we're actually going to keep it

very very simple we're going to download

just another version of a model so check

this out all you would have to do let's

see sdxl turbo we would install that and

if you want to learn how to use sdxl

turbo which allows for realtime image

generation you can actually go check out

this video here where I talk about it

and set it up with you so it's pretty

big stuff and by the way if you're

liking the video so far and I've been

able to help you please remember to like

And subscribe it takes this channel to a

whole another level and I'd really

appreciate it thank you so now you can

see that it's installing sdxl turbo one

it'll take some time but once it's

installed it'll just say installed and

then we can move forward and you'll see

it right there in the model checkpoint

and boom now it's installed to apply the

installed model please click the refresh

button on the main menu so we're just

going to click close then we're going to

again and close this we're going to

click refresh now that it's been

refreshed if you click on this you see

sdxl turbo and we could change it but

we're not going to use that right now

we're going to stick with the uh v15

safe tensors so that's how you're now

able to install models into your system

another cool thing that you could do

when it comes to comfy UI you can bring

images that were created in comfy UI

into your own comf UI and it will

literally show the workflow that made

that so I'm going to show you right now

with one of the images that I made a

while back ago so here I have an

attractive black woman that I had made

and so if I drag and drop this into the

UI you see that it just changed the

whole workflow you can literally see

what I did to create the black woman

you'll see that it used what I created

to make the prompt you'll see that uh it

had dream Shapers which I don't have

right now this is a different comy UI um

you see that I also had used an upscaler

and up I had used a couple ups scalers

and stuff now if I cue The Prompt it

won't work because look see prompt

outputs validation you know the

checkpoint loader it doesn't have that

checkpoint and so on and so forth so as

a result it can't use it I'll need to

download these things now the beautiful

thing is that it shows you what you need

to download so I would just need to get

the dream shaper safe tensors and says

value not en list model name forx anime.

paath so I would need to get this as

well and then you know once you're able

to get those you would be able to move

forward so that's the beauty of it you

can bring an image that was made in

comfi into your own comfyi so that you

can see the workflow that was used to

create that same exact image and try to

replicate it yourself which is very

powerful when you're trying to have as

much control as possible over the images

that you're trying to create another

thing about the comfy UI manager is that

whenever you want to update comfy UI

itself you can literally just say update

com UI or update all meaning that you

would update the nodes the models

everything which can also help you out a

lot you can also install missing custom

nodes basically meaning that whenever

you do take someone's workflow and it

has all types of nodes um that you don't

have you can install it doing that way

and if you already have automatic 1111

here's a nice cool tip that you could

use instead of R downloading every model

from hugging face or civid AI if you

already have a folder where you keep all

of your models you can redirect the path

of comfy UI that looks for models to

another folder and this is how you would

do it you see how in comfy UI there's

this thing called extra modore paths.

yl. example what you're going to do is

that you're going to rename this

file rename it and you're just going to

get rid of the example part so get rid

of example press enter and then it says

use. yo now that you've renamed it

you're going to need to open this up in

a text editor now I don't know what your

default text editor is but for many of

us we could really just use um text edit

that comes with Mac if not text edit

maybe notes or whatever but you know and

there's all types of text editors you

can use brackets Visual Studio code you

can see I even have X code by default

but we're just going to use text edit

for now

and what happens is if you already have

automatic 1111 you can actually go you

can actually set the path to wherever

you're keeping your models in that

folder so let me show you what I mean by

that as you can see where I keep my

automatic 1111 is in my home directory

and then you would go to stable

diffusion D webui then you would scroll

down and I would go to models and then

boom I would go to stable diffusion and

here are all my models right but you're

not going to actually give it that whole

path what you're going to do you're just

going to come to where you have stable

diffusion D webui and you're going to

right click on this and then you're

going to hold down option and then

you're going to see copy stable Das

diffusion webui as path name and you're

going to click that okay then you're

going to come over here where it says

base path you're going to remove this

and you're going to copy the path that's

there great then you're going to save

file save boom now the extra models path

is saved now that you've changed the

path you will have to restart comfy UI

so again you're just going to come over

here you're going to ex out this bad boy

pretty simple stuff then you're going to

open up another terminal you're going to

CD your way into that folder but you can

literally just drag this folder into

there and then boom now you've cded your

way in and you're going to do Python 3

main.py and it's going to start it up

again like normal you're going to head

over over to that

link open

link and now when you when you look it

up boom you see all the models that I

already had in my automatic 1111 can now

be used here so let's try out dream

shaper right this is where we had the

dream shaper remember we didn't have the

dream shaper before so now that we have

the dream shaper now the only thing that

we don't have is this upscale model but

we could just delete those for a little

bit right now let's delete those and

we're just going to put the image here

and let's see what dream Shapers gives

us and the beautiful thing is that while

you're waiting on this if you look in

the terminal you can actually see the

percentage you can also see it here

about what's loading up um you know the

green bar is also showing you what's

loading up but if you want to see a more

specific version it says 65% 70% in the

terminal itself so that's always cool to

know to see how long it's taking for you

and then it's going to go into the

decoder and again you know it's loading

one new model and everything and in a

few seconds we should have it

ooh not

bad definitely leave a like definitely

subscribe your boy Chelli just made his

wife like this is not bad this is not

bad now of course you could always take

this to another level right add some

upscaler add some different you know um

features that you would want with this

but here we have it here we have it this

is what kyui is able to create and it's

in our control and that's the Beauty and

it wasn't that hard now was it now again

if you have a M2 or an M3 MacBook the

generation will be a little faster

especially if you have like a M3 Max and

things like that the generation will be

faster but um this is comfi in a

nutshell there are definitely some comfi

resources that you can use you see

comfyi examples it shows you like you

know image to image what that would look

like and how you would go through it

hyper networks all that types of stuff

it's pretty impressive stuff um there's

also the GitHub the GitHub also shows

you a lot of what you can do here and

also redddit as you can see here a few

examples of my comfyi look at them look

at this and you know this you know

Reddit is always a budding Community for

anyone who's trying to learn anything

right we already know this so you have

Reddit there's definitely a lot of

things that you can look at um but yeah

you know there's a lot going on here you

look a beginner's guide to come for UI I

personally like this website a lot

stable diffusion dart.com um a link will

be in the description really good

website it kind of gets you up to date

and kind of gets the ball rolling for a

lot of AI image generation oh and you

know what here's also also the settings

shows you a little a lot of different

settings I personally you don't really

need to mess around too much with these

settings but there's definitely a lot of

things in the settings that you could

look over like um it does show you

different colors that you could use so

if you use solariz and things like that

or Nord you know there's definitely

different colors me personally I just

use dark by default and there's

definitely other things here you can

always play around with this stuff but

for the most part um not not much that's

really going to change anything and um

there's definitely other stuff here but

that is the bulk of com fui for Mac I

genuinely appreciate you guys for

watching please stay tuned for more

videos about com fui sdxl stable

diffusion AI in general if you really

appreciate it remember to like And

subscribe I will appreciate that in

return and please have a great day chuku

buam Chelli out