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How to Get the Open Source Higgsfield AI (Free)

14:23EnglishTranscribed Jul 27, 2026
0:00

Okay, so today I'm going to show you

0:00

guys how to get the open-source

0:02

Higgsfield. There are several ways you

0:03

can do it, but this is kind of how it

0:05

looks when you get it going. This is the

0:07

whole system right here. It's pretty

0:10

cool. What you can do Okay, so this is

0:12

where it all comes from. It's comes from

0:13

a Neil Matcha. The jet It's called The

0:15

project is called open- generative-ai,

0:18

and you have all of the files right

0:20

here. So, if you want, you can download

0:22

it yourself, and you can edit it however

0:24

you want. There are some parts that

0:26

don't work perfectly, and that's because

0:28

it's an open-source project. That's kind

0:29

of how this works. It's like generated

0:30

by some person, and they made it for

0:32

free, and they're giving this out for

0:33

you to use and try. Okay, so there's two

0:36

ways that you can use this open-source

0:37

Higgsfield. So, we have the pay-per-use

0:40

version and the free version. I'll walk

0:43

through both of them, and I'll give you

0:44

the benefits and the drawbacks. Let's do

0:46

this. Okay, so first I'm going to show

0:48

you the paid version. So, basically the

0:49

paid version is super easy to get. All

0:51

you have to do is you go to the hosted

0:53

version, which is this website right

0:55

here on my screen. You click on that,

0:58

and it brings you straight to this thing

1:01

that I was showing you earlier. Then

1:02

from there, this allows you to use every

1:04

single model in existence I can think

1:07

of. I I'm sure there's more models out

1:09

there, but there's just a ton on here,

1:11

and there's lots of options, and it runs

1:13

really well because it's running on

1:14

their server. But, basically what you do

1:16

for this one is it is the paid version,

1:18

but it is a lot cheaper than using

1:20

something like Higgsfield. Like this is

1:21

the open-source version, so this is kind

1:23

of like you have like the tiers of

1:25

Higgsfield AI is very expensive, then

1:27

you have middle, which is kind of middle

1:29

of the road, which is this one, then you

1:31

have the fully open-source where you

1:33

download on your own computer, and that

1:34

is free, basically. So, I'll show you

1:37

how the middle tier works, and then

1:38

we'll get into the free one. Okay,

1:39

middle tier, what you're going to want

1:40

to do is you will have to generate an

1:42

API key. This is a Mu API. I don't know

1:44

how to pronounce this properly.

1:45

Basically, what you're going to do is

1:46

generate an API key in here, and it's

1:48

like a mega API key. And so, it covers

1:51

every single model you can think in

1:53

existence. A lot of them are cheaper

1:55

than doing it through the actual

1:57

company. So, that's nice. But, you have

1:59

access to tons and tons of models. So,

2:01

if you get really good with a certain

2:02

model that's super cheap, you can

2:04

generate a ton of stuff for a lot

2:06

cheaper than it would be if you were to

2:07

generate it like with Midjourney or or

2:10

other companies that host it on their

2:12

servers. So, it's a lot cheaper in that

2:14

way. So, it's not completely free, but

2:16

it is a lot cheaper, which is pretty

2:17

nice. But, basically you have all these

2:19

options and how it works is it connects

2:21

with this API key. You just generate the

2:23

API key. I I loaded $10 on there and

2:26

I've been generating a ton of stuff. And

2:28

that's when you have this section right

2:29

here. So, you're able to basically

2:31

generate anything through Nana Banana,

2:33

Flex Dev, and there's tons of options,

2:35

too. You can generate four at a time.

2:37

You can change the aspect ratio. You can

2:38

add reference images. There's just a ton

2:40

of things that you can do. That's for

2:42

the image stuff. Same thing with the

2:44

video. You have all the options. You

2:45

have like a bajillion options. And you

2:48

can even download do the open-source

2:49

models. They do host them on their own

2:51

server, but the thing I'll show you

2:53

later is you can host these models also

2:54

on your own computer and these videos

2:57

for free. I'll get to that. I'll get to

2:58

that. Um there also are several models

3:00

that you cannot host on your own

3:02

computer, and that's like Seedance and

3:04

Kling and VEO. These are all hosted on

3:07

big fat servers cuz they take a lot to

3:09

generate video. But, you're able to do

3:11

all those at a more affordable price

3:14

here in the video section. So, you can

3:16

change the aspect ratio, change the

3:17

time. You can change the quality, add

3:19

other images. Like, there's a lot of

3:21

stuff you can do. You also have this lip

3:23

sync section where you can make it so it

3:24

matches up with the voice of a face and

3:27

you can throw an audio. Pretty simple.

3:29

Then, you have Cinema Studio. This is

3:30

where you can generate frame-by-frame

3:33

and kind of like build the stuff

3:34

together. And then, you have Marketing

3:36

Studio, which is where you can build out

3:37

ads for it. This is also much more

3:39

affordable cuz you can choose the model

3:41

and you can choose the variant how you

3:42

want it to look, the avatar. Like,

3:44

there's a ton of cool options in here.

3:46

Then, also in here you do have workflows

3:48

where you can do certain things which

3:49

are like more specialized. So, you do

3:51

social media, e-commerce, fashion,

3:52

featured, featured social media, like

3:55

all these things are are things that can

3:57

help you like build better things and

3:59

you can build your own workflows as well

4:00

and community stuff which is generated

4:03

from the community, which is cool. I

4:04

like that it's all kind of centralized

4:05

into one system. It's like basically the

4:07

community building their own version of

4:09

Higgsfield that's kind of all combined

4:10

here. So, you don't have to pay for

4:12

Higgsfield prices. So, you just pay like

4:14

the base price and then everybody

4:16

contributes to everybody. It's It's a

4:17

pretty cool little system. It's not

4:19

perfect though. It's not perfect. I'm

4:20

not going to act like this is completely

4:21

free cuz it's not. There is a free way

4:23

to do it. It's not this one exactly.

4:25

But, this is the open-source version.

4:26

So, like I guess in the sense of

4:27

open-source, like anybody can contribute

4:29

to this platform right here and help

4:31

build it to make it better, which is

4:33

pretty cool. You also do have agents

4:35

right here where you can literally just

4:37

like like look at this. This is crazy.

4:39

Like a veggie talk creator. Like there's

4:41

a ton of different agents they can use

4:42

to make content, which is pretty cool.

4:44

All of these are you will have to pay

4:45

for the the tokens, but then you also

4:48

have apps where you can literally just

4:49

build out your own template and create

4:51

your own, I guess, wrapper in the sense

4:54

of like you can create your own AI video

4:57

studio and sell that to other people,

4:58

which is pretty cool. And this one you

5:00

can just like straight-up go to the

5:01

GitHub and do it from there and build it

5:03

out. And this is completely free. You

5:05

would have to pay for the tokens, but if

5:06

you're charging somebody like twice as

5:07

much for the tokens, then it can make

5:09

sense and it can be an actual business,

5:10

which is pretty cool. All these GitHubs

5:12

are right there and you can grab the

5:13

templates and just download them and

5:15

create your own AI business just like

5:18

that. It's pretty gnarly how quick and

5:19

easy it is. That is the main stuff on

5:22

the hosted version, all right? Now, I

5:24

know you guys didn't come here for the

5:25

hosted version. I just want to show that

5:27

this is kind of what the creator is

5:28

making. It's like a cheaper and

5:30

open-source alternative to doing

5:32

Higgsfield, but there is like the other

5:34

part where you can just host it on your

5:35

own computer. So, let me show you kind

5:37

of what that looks like. So, you're

5:38

going to go into here, right? Go back to

5:40

the main GitHub where I was. And this is

5:43

where you can get the fully unrestricted

5:44

open-source version of the open-source

5:47

Higgsfield. So, so you won't want to go

5:49

to this hosted version. You'll want to

5:52

download one of these. So, there's

5:54

several ways you can do this. For one,

5:55

you can just hit this DMG file, which

5:57

literally just downloads it like an app.

5:59

Like literally just click the button. I

6:01

already downloaded it. I don't want to

6:02

download it again. It is a decent amount

6:03

of memory, but you just hit this button

6:05

right here and you just base it on which

6:07

type of computer you have. So, I have a

6:09

M3 chip, so you just hit this and it'll

6:11

download it. Or you have Mac OS,

6:12

Windows, um Linux. So, all these things,

6:15

these are different versions you'll

6:16

click on. Or you can also install it

6:18

from the terminal. You'll just run these

6:20

prompts in the terminal and it downloads

6:22

it. Super quick and easy. Or you can do

6:24

the way which I did and I went on the

6:26

GitHub desktop app and I just cloned the

6:29

repository. Um literally, it's super

6:31

simple. You just go on the app, paste

6:33

the link and say clone it. And then now

6:34

I am editing it in Visual Studio Code

6:37

cuz there are some bugs that I wanted to

6:38

fix myself that I've been fixing for

6:40

certain models. And so, I've been

6:41

running it myself. I edited the parts I

6:43

wanted to fix in Visual Studio Code so I

6:45

can make it better. So, I made my own

6:47

little branch. So, you can do that as

6:48

well. Um it's a little more technical

6:51

and I have Claude Code helping it. So, I

6:52

don't know actually crap. I'm not very

6:54

technical at all, but Claude Code knows

6:56

it and I just tell it like, "Hey, fix

6:57

this part. Fix the loading part. Hey,

6:59

the open source model's not working

7:00

properly. Fix this." So, there's some

7:03

things that I did have to fix and I had

7:04

to cater it to my computer in order for

7:06

it to work properly. So, once I did

7:08

that, I'm running it now and it's in

7:10

this app Electron right here. And here

7:12

is the fully open source version of

7:14

that. Okay? So, now there is an option

7:16

to run the API key um or you can do the

7:19

local models. As you can see, it is a

7:21

little bit more laggy, but here are the

7:23

models that I'm running right now. So, I

7:24

have Z image turbo, which is a image

7:26

generator. I've done a downloaded

7:28

Dreamshaper and there's a couple other

7:30

ones I haven't downloaded yet. When I

7:32

When I do with my variations that I did

7:34

in Visual Studio Code, it depends on

7:35

what computer you have if you want

7:37

certain models to work. So, the only

7:38

ones that worked on my computer were

7:40

these two. So, they're not perfect, but

7:43

um they're pretty low-weight models

7:45

because my computer's not the highest

7:46

end. So, I downloaded these models and I

7:48

was able to generate videos, which is

7:50

pretty cool. I'll kind of show you what

7:51

I generated, but these are the models

7:53

I'm running and literally all you do is

7:54

you just hit download and this is how

7:56

you download them. Some of them don't

7:59

work fully and these have to be debugged

8:01

and this is just comes with open-source

8:02

stuff. It just does. I hate to say it.

8:04

So, yeah, image stuff, if you want to go

8:05

to your local image generator, hit this

8:07

button right here and it'll pick Z image

8:10

turbo. You can also change which one you

8:11

want and so I have DreamShaper image

8:14

turbo. These are all the ones that you

8:16

can download on your computer, the

8:18

open-source ones, or you can go back to

8:19

the API ones and this is charges it to

8:21

that same API. But we don't want that,

8:22

obviously. We want the free version. So,

8:24

we're going to hit this button and we'll

8:25

generate images. Now, it does take

8:26

anywhere from like maybe like 1 to 3

8:28

minutes to generate an image. So, I

8:29

pre-generated a bunch of them to show

8:31

you kind of what they look like. So,

8:32

this is one right here. This is just

8:33

like a backyard that I had it generate

8:35

super quickly. This is a car in space.

8:38

This is some dude in a fake Iron Man

8:40

suit. Um this is Elon Musk in space,

8:43

which is um it's not bad. And then this

8:45

is a ripped frog. This one actually

8:47

didn't work. Um and then this one is a

8:49

cat on Mount Everest. So, these are ones

8:51

that you can generate with your

8:53

open-source Higgs field version. Super

8:55

simple. Hit this button, type in your

8:57

prompt, then you hit generate and it'll

8:59

take a couple seconds to load. Now, I'm

9:01

not going to generate one right now

9:02

because it is pretty intensive and since

9:04

I'm screen recording and doing all this

9:06

at once, my computer has 18 gigs of RAM

9:09

and it'll probably start getting laggy.

9:11

I just want to be cleaner for the demo.

9:13

Then, we have the video section. So, the

9:16

video section is a little more heavy

9:18

than the image section. So, since like I

9:21

told you earlier, the only ones that my

9:23

computer can actually run are has all

9:25

these options, as you can see. Oh, it's

9:27

lagging. Um is these two, the LTX video

9:31

and the Cog video X2B. And it can make

9:34

like maybe 2 to 5-second videos, but

9:37

here's some of the results that that I

9:39

got from what we were dealing with. So,

9:41

like this is the type of stuff that you

9:42

could generate, depending on how good

9:43

your computer is. Like this one's This

9:46

one's pretty cool, not going to lie.

9:47

Dang, look at that. Car scene. We have

9:50

an elephant jumping into some water.

9:52

This one's low resolution, so it's a

9:54

little bit easier to generate. This is

9:55

another car. Looks like it's going to

9:57

jump off of a cliff.

9:59

Oh, there it goes. And this is a Looks

10:03

like a knife on a rock. This is a ninja

10:05

right here.

10:08

Okay. This is a car through space. So,

10:10

like all these are things that you can

10:11

generate. The problem with the

10:13

open-source models is like basically

10:15

what it means is you are running this AI

10:17

model on your computer. And that's how

10:19

it's free. It's using your hardware and

10:20

not somebody else's hardware. If you're

10:22

generating with tokens, you're borrowing

10:25

their hardware to generate your video.

10:27

And that's why you have to pay a little

10:29

bit for it. So, um I was doing a bunch

10:32

of research and trying to figure out

10:33

which models you can run on which type

10:36

of hardware. And I built this graphic

10:38

that helped me.

10:39

Um so, these are all the main

10:40

open-source models, and they're pretty

10:42

good. They can make pretty good results.

10:44

They're definitely not like as perfect

10:46

as like the VO models or the Sora

10:48

models. But, these ones are pretty good

10:50

that you can run. And this is kind of

10:52

how it breaks out. So, you got 1 2.1, 1

10:54

2.2, High and Video, High and Video 1.5,

10:57

um LTX Video, Cog Video, and Cog Video

11:00

5B. So, I have an M3 Pro right here. And

11:04

so, the two that I'm mainly running are

11:06

the LTX Video and the Cog Video X2B. And

11:09

so, I could run them. It's not perfect.

11:12

Um I haven't tried the 1 ones. Um

11:14

they're a little bit bigger, so I was a

11:15

little more reluctant. But, depending on

11:17

like if you have a basic laptop, I'm I

11:19

hate to break it to you, it's just not

11:20

going to be Your Your Your computer's

11:22

not going to have enough processing

11:23

power to be able to run an open-source

11:26

model. An Intel Mac, neither, cuz those

11:28

are kind of old. M1, you possibly could

11:30

do it. My version, I can run it. It's

11:32

not perfect, but you can do it. M4 Mac

11:34

Pro, if you get a new one, yeah, you

11:36

should be able to run these ones pretty

11:38

well. And if you have like the top-tier

11:40

Macs, you should be able to do most of

11:42

them pretty easily. Then we go to the

11:44

Windows side. This is kind of like the

11:45

GPU you'll need and also the memory. And

11:48

one thing that's nice about the Windows

11:50

side of things, they're a lot more

11:51

optimized for models like this, which is

11:53

pretty nice. So, looks like the lowest

11:56

end you can run a couple of them, but

11:58

you there's a few that you can't. And

12:00

yeah, as you see we go up in obviously

12:02

price and just performance, this is how

12:05

you'll be able to run these things. So,

12:06

you'll need like the minimum of this

12:07

amount of RAM and this type of processor

12:09

if you want to run every single one of

12:11

these. The cool part though is if you

12:12

have this, you can run all these

12:14

completely free and locally, which is

12:16

awesome. What you'd basically do is you

12:17

would just go in here

12:19

and you pick your model, like I pick

12:21

mine, and then you just prompt it. And

12:24

then from there it's literally the same

12:25

thing and you're able to generate all

12:27

these same videos with that same model.

12:29

Now, I'm I am limited to the lower-end

12:31

models because I don't have as powerful

12:33

of a computer. And that's just how it

12:34

goes with working with ups and

12:36

open-source models. You also do have the

12:37

lip-sync function, same thing. You have

12:39

the cinema studio, this one where you

12:40

can like build out frames and use these

12:42

to generate cinema cinema quality videos

12:45

that you can add into the video function

12:47

and the image function.

12:48

Unfortunately, the workflows and the

12:49

agent functions do not work on the host

12:51

the self-hosted version yet, but this is

12:53

one thing that you could go into your

12:55

Visual Studio Code and edit yourself.

12:57

And then you have the MCP 2. This is the

12:59

full open-source Higgs Field. It's

13:01

definitely not a perfect solution if you

13:03

have a lower-end computer, but if you

13:05

have a decently powerful computer, you

13:08

can run all these things without a

13:09

problem. You can run the higher-end

13:11

models like I showed you on here. So,

13:13

yeah, if you have a higher-end computer,

13:15

like one with this type of processing

13:17

power, you're you're able to run these

13:20

higher-end video models, but if you have

13:22

somewhere on the lower end, it's just

13:24

it's just not viable. Your computer

13:25

simply just cannot handle a model like

13:28

this. and I and I hate to say it but

13:29

it's just the truth of the matter. And

13:31

so if you were in this area down here,

13:35

I would probably there's lots of like

13:38

technically paid softwares that have

13:41

free video credits. So you can do maybe

13:44

one or two videos free every single day.

13:46

I know Google does it, Gemini chat does

13:48

it, Grok does it. There's lots of models

13:50

that you can create free video. You just

13:52

can't do unlimited and there's certain

13:55

limitations. But that would be more than

13:57

trying to use an open source model

13:58

because you just you simply can't. It's

14:01

just your computer is just not powerful

14:03

enough. And so that's just how it works

14:05

with open source models and this is the

14:06

reality of the situation. But if you

14:08

want to try out this open source model

14:10

for yourself, you have those the ability

14:11

to do it. By all means go and do it and

14:13

it'll be completely free. But yeah,

14:15

anyways, this is the open source Higgs

14:17

Field. If you have questions leave them

14:18

in the comments, but um yeah.

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