AI Generated Images Are Getting Too Real [AlSCx-4d51U].en.srt

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remember a few months ago where I

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remember a few months ago where I


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remember a few months ago where I
showcased some really impressive air

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showcased some really impressive air


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showcased some really impressive air
using dreambooth that can copy any

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using dreambooth that can copy any


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using dreambooth that can copy any
subject or any art style and by using

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subject or any art style and by using


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subject or any art style and by using
some really good fine-tuned models you

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some really good fine-tuned models you


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some really good fine-tuned models you
can generate some incredible art which

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can generate some incredible art which


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can generate some incredible art which
is text well four months later people

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is text well four months later people


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is text well four months later people
somehow made everything look so much

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somehow made everything look so much


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somehow made everything look so much
better from the extreme realism where

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better from the extreme realism where


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better from the extreme realism where
the images just look like real people

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the images just look like real people


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the images just look like real people
without the fake image glow that other

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without the fake image glow that other


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without the fake image glow that other
AI will create or illustrations that are

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AI will create or illustrations that are


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AI will create or illustrations that are
so much more coherent and stylistic

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so much more coherent and stylistic


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so much more coherent and stylistic
making most of the ways that people

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making most of the ways that people


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making most of the ways that people
suggested on how to identify AI are

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suggested on how to identify AI are


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suggested on how to identify AI are
unusable especially with these new

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unusable especially with these new


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unusable especially with these new
techniques I just want to put a

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techniques I just want to put a


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techniques I just want to put a
disclaimer on this video that this does

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disclaimer on this video that this does


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disclaimer on this video that this does
go down the in Kenny Valley of mine

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go down the in Kenny Valley of mine


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go down the in Kenny Valley of mine
where there is gonna be even more art

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where there is gonna be even more art


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where there is gonna be even more art
style copying and potential for deep

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style copying and potential for deep


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style copying and potential for deep
fake images while everything is still

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fake images while everything is still


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fake images while everything is still
improving over time I am still figuring

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improving over time I am still figuring


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improving over time I am still figuring
out how I feel about all these but I

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out how I feel about all these but I


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out how I feel about all these but I
also think everyone else deserves to

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also think everyone else deserves to


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also think everyone else deserves to
learn about this because this is a

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learn about this because this is a


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learn about this because this is a
technological Advance we inevitably have

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technological Advance we inevitably have


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technological Advance we inevitably have
to face to quote tweet AI will not

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to face to quote tweet AI will not


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to face to quote tweet AI will not
replace you a person using AIO and this

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replace you a person using AIO and this


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replace you a person using AIO and this
is soon going to be a world that we live

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is soon going to be a world that we live


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is soon going to be a world that we live
in so maybe getting a better

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in so maybe getting a better


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in so maybe getting a better
understanding of how everything works so

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understanding of how everything works so


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understanding of how everything works so
you don't get left behind is pretty

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you don't get left behind is pretty


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you don't get left behind is pretty
important too anyways to get to this

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important too anyways to get to this


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important too anyways to get to this
level of generated realism or

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level of generated realism or


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level of generated realism or
illustration as Rome wasn't built in the

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illustration as Rome wasn't built in the


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illustration as Rome wasn't built in the
day we have to go back and start from

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day we have to go back and start from


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day we have to go back and start from
the ideas of dream booth and find two

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the ideas of dream booth and find two


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the ideas of dream booth and find two
models which I mentioned in a previous

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models which I mentioned in a previous


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models which I mentioned in a previous
video check it out if you haven't since

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video check it out if you haven't since


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video check it out if you haven't since
stream Booth is good at learning

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stream Booth is good at learning


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stream Booth is good at learning
literally anything with a very small

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literally anything with a very small


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literally anything with a very small
amount of data set people started using

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amount of data set people started using


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amount of data set people started using
dreamboots to fine tune on an art style

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dreamboots to fine tune on an art style


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dreamboots to fine tune on an art style
or an object which makes fine-tuning on

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or an object which makes fine-tuning on


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or an object which makes fine-tuning on
the original saber diffusion model is

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the original saber diffusion model is


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the original saber diffusion model is
kind of obsolete because it takes so

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kind of obsolete because it takes so


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kind of obsolete because it takes so
much more images training time and

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much more images training time and


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much more images training time and
computational costs to do something that

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computational costs to do something that


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computational costs to do something that
is only slightly better so some people

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is only slightly better so some people


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is only slightly better so some people
in the community got really creative and

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in the community got really creative and


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in the community got really creative and
started merging dreamboost and other

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started merging dreamboost and other


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started merging dreamboost and other
fine-tuned models together and

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fine-tuned models together and


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fine-tuned models together and
discovered that it works surprisingly

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discovered that it works surprisingly


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discovered that it works surprisingly
well that pretty much started a whole

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well that pretty much started a whole


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well that pretty much started a whole
new wave of merging models together to

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new wave of merging models together to


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new wave of merging models together to
create something that will contain the

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create something that will contain the


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create something that will contain the
best parts of the merge models however

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best parts of the merge models however


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best parts of the merge models however
merging models was not a New Concept it

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merging models was not a New Concept it


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merging models was not a New Concept it
existed pretty early on but because it

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existed pretty early on but because it


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existed pretty early on but because it
is much more complicated than training

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is much more complicated than training


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is much more complicated than training
or fine-tuning since you are just

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or fine-tuning since you are just


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or fine-tuning since you are just
directly messing with the weights within

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directly messing with the weights within


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directly messing with the weights within
the model architecture people didn't

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the model architecture people didn't


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the model architecture people didn't
really use it when dreamboots just came

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really use it when dreamboots just came


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really use it when dreamboots just came
out and made everything so easy But as

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out and made everything so easy But as


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out and made everything so easy But as
time passed the more trial and error

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time passed the more trial and error


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time passed the more trial and error
research was able to be made so that

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research was able to be made so that


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research was able to be made so that
good merges began to emerge around the

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good merges began to emerge around the


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good merges began to emerge around the
middle of January and became popular

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middle of January and became popular


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middle of January and became popular
ever since there is a really good

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ever since there is a really good


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ever since there is a really good
explanation of how different types of

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explanation of how different types of


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explanation of how different types of
merging works I'll link it down in the

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merging works I'll link it down in the


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merging works I'll link it down in the
description I'll just give a very simple

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description I'll just give a very simple


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description I'll just give a very simple
explanation that classic merging Works

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explanation that classic merging Works


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explanation that classic merging Works
basically by adding or calculating the

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basically by adding or calculating the


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basically by adding or calculating the
differences between the weights so that

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differences between the weights so that


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differences between the weights so that
the combined model would uniformly share

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the combined model would uniformly share


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the combined model would uniformly share
the key features that each of them has

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the key features that each of them has


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the key features that each of them has
while block merging is another type of

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while block merging is another type of


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while block merging is another type of
merging which allows you to specify a

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merging which allows you to specify a


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merging which allows you to specify a
particular layer of the model so it

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particular layer of the model so it


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particular layer of the model so it
gives you a lot more find control on

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gives you a lot more find control on


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gives you a lot more find control on
what features you combine lock merging

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what features you combine lock merging


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what features you combine lock merging
is extremely useful as some part of the

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is extremely useful as some part of the


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is extremely useful as some part of the
layers is pretty much equivalent to an

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layers is pretty much equivalent to an


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layers is pretty much equivalent to an
abstract feature such as hands so

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abstract feature such as hands so


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abstract feature such as hands so
merging a model that is good at

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merging a model that is good at


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merging a model that is good at
generating hands with another that is

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generating hands with another that is


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generating hands with another that is
not will pretty much guarantee their

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not will pretty much guarantee their


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not will pretty much guarantee their
baby model will be able to generate good

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baby model will be able to generate good


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baby model will be able to generate good
hand features so now since we can merge

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hand features so now since we can merge


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hand features so now since we can merge
models together however we want then and

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models together however we want then and


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models together however we want then and
there is no stopping from merging a

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there is no stopping from merging a


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there is no stopping from merging a
merge model with another merge model to

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merge model with another merge model to


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merge model with another merge model to
create a merge model that is used to

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create a merge model that is used to


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create a merge model that is used to
merge with another model so a mix is

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merge with another model so a mix is


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merge with another model so a mix is
born in some of the most popular mixes

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born in some of the most popular mixes


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born in some of the most popular mixes
they will include mixed recipes which

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they will include mixed recipes which


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they will include mixed recipes which
would tell you how they have merged a

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would tell you how they have merged a


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would tell you how they have merged a
variety of different models to get

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variety of different models to get


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variety of different models to get
something that can generate details you

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something that can generate details you


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something that can generate details you
will not be able to achieve with fine

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will not be able to achieve with fine


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will not be able to achieve with fine
tuning and there are mixes such as the

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tuning and there are mixes such as the


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tuning and there are mixes such as the
orange mixes which is one of the most

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orange mixes which is one of the most


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orange mixes which is one of the most
popular illustration mix collections

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popular illustration mix collections


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popular illustration mix collections
which you can try out but here comes

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which you can try out but here comes


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which you can try out but here comes
Laura a new approach released two months

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Laura a new approach released two months


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Laura a new approach released two months
after a dream Booth it was originally

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after a dream Booth it was originally


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after a dream Booth it was originally
made with the purpose to reduce the

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made with the purpose to reduce the


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made with the purpose to reduce the
storage in the time of fine-tuning large

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storage in the time of fine-tuning large


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storage in the time of fine-tuning large
language models but some people saw its

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language models but some people saw its


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language models but some people saw its
potential and it was implemented into

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potential and it was implemented into


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potential and it was implemented into
Sable diffusion to create something even

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Sable diffusion to create something even


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Sable diffusion to create something even
more phenomenal than dreambooth to give

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more phenomenal than dreambooth to give


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more phenomenal than dreambooth to give
you an idea of how Laura works usually

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you an idea of how Laura works usually


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you an idea of how Laura works usually
any fine tuning or dream Booth would

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any fine tuning or dream Booth would


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any fine tuning or dream Booth would
literally take your 7gb model and

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literally take your 7gb model and


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literally take your 7gb model and
fine-tune the entire 7gb model but

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fine-tune the entire 7gb model but


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fine-tune the entire 7gb model but
instead Laura insert new layers into the

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instead Laura insert new layers into the


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instead Laura insert new layers into the
architecture and uses those few layers

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architecture and uses those few layers


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architecture and uses those few layers
to learn the goal of your fine tune

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to learn the goal of your fine tune


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to learn the goal of your fine tune
functionally it is very similar to

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functionally it is very similar to


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functionally it is very similar to
textual inversion so you train a trigger

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textual inversion so you train a trigger


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textual inversion so you train a trigger
forward with a subject for the AI to

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forward with a subject for the AI to


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forward with a subject for the AI to
learn how it looks like then Laura can

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learn how it looks like then Laura can


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learn how it looks like then Laura can
regenerate the idea or the object with

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regenerate the idea or the object with


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regenerate the idea or the object with
the accuracy much better than textual

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the accuracy much better than textual


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the accuracy much better than textual
inversion because it has a much deeper

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inversion because it has a much deeper


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inversion because it has a much deeper
influence in the model even though its

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influence in the model even though its


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influence in the model even though its
size is slightly larger than textual

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size is slightly larger than textual


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size is slightly larger than textual
inversion it is still much smaller than

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inversion it is still much smaller than


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inversion it is still much smaller than
a fine-tuned dreamboost model Laura has

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a fine-tuned dreamboost model Laura has


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a fine-tuned dreamboost model Laura has
some very clever maths backing it up on

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some very clever maths backing it up on


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some very clever maths backing it up on
why it works so if you want to learn

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why it works so if you want to learn


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why it works so if you want to learn
more about it check out this koiboy

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more about it check out this koiboy


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more about it check out this koiboy
video for a technical explanation and

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video for a technical explanation and


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video for a technical explanation and
comparison with all the other methods

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comparison with all the other methods


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comparison with all the other methods
things start to get weirder here though

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things start to get weirder here though


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things start to get weirder here though
some big brain individuals somehow

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some big brain individuals somehow


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some big brain individuals somehow
figured out how to merge Laura together

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figured out how to merge Laura together


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figured out how to merge Laura together
with merged models so you can merge

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with merged models so you can merge


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with merged models so you can merge
Laura with the model and merge it again

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Laura with the model and merge it again


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Laura with the model and merge it again
with another Laura and vice versa so

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with another Laura and vice versa so


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with another Laura and vice versa so
some really stylistic art began to pop

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some really stylistic art began to pop


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some really stylistic art began to pop
out where it resembles nothing like your

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out where it resembles nothing like your


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out where it resembles nothing like your
typical AI generated art also the

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typical AI generated art also the


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typical AI generated art also the
progress made in text generated are is

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progress made in text generated are is


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progress made in text generated are is
either made by the weebs or by the horny

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either made by the weebs or by the horny


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either made by the weebs or by the horny
people in real life text generated

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people in real life text generated


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people in real life text generated
images are what impressed and worried me

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images are what impressed and worried me


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images are what impressed and worried me
the most if you remember any text to

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the most if you remember any text to


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the most if you remember any text to
image results on a human they all have

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image results on a human they all have


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image results on a human they all have
this weird artificial glow or textures

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this weird artificial glow or textures


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this weird artificial glow or textures
which you can instantly recognize its AI

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which you can instantly recognize its AI


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which you can instantly recognize its AI
generated but with these mixes on top of

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generated but with these mixes on top of


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generated but with these mixes on top of
Laura people have found the perfect

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Laura people have found the perfect


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Laura people have found the perfect
combo that will make the generation look

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combo that will make the generation look


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combo that will make the generation look
extremely real to the point that I had

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extremely real to the point that I had


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extremely real to the point that I had
to double take when I first came across

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00:05:12,409 --> 00:05:12,419
to double take when I first came across


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to double take when I first came across
them the mixes are based on some really

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them the mixes are based on some really


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them the mixes are based on some really
Sinister or Unholy models so I'll not be

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Sinister or Unholy models so I'll not be


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Sinister or Unholy models so I'll not be
linking anything about it since it

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linking anything about it since it


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linking anything about it since it
violates YouTube TOS but the safe for

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violates YouTube TOS but the safe for


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00:05:21,240 --> 00:05:23,450
violates YouTube TOS but the safe for
work results are mind-blowing the only

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work results are mind-blowing the only


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work results are mind-blowing the only
dead giveaways of it being AI generator

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dead giveaways of it being AI generator


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dead giveaways of it being AI generator
are either the clothing patterns or the

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are either the clothing patterns or the


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are either the clothing patterns or the
accessories however the face the anatomy

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00:05:30,290 --> 00:05:30,300
accessories however the face the anatomy


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accessories however the face the anatomy
the lighting the shading the reflection

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the lighting the shading the reflection


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the lighting the shading the reflection
it is scary how real all these look

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00:05:35,090 --> 00:05:35,100
it is scary how real all these look


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it is scary how real all these look
people would probably just need to

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people would probably just need to


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people would probably just need to
figure out a merge to improve these

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00:05:38,450 --> 00:05:38,460
figure out a merge to improve these


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00:05:38,460 --> 00:05:40,610
figure out a merge to improve these
small details like the buttons hands or

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00:05:40,610 --> 00:05:40,620
small details like the buttons hands or


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00:05:40,620 --> 00:05:42,650
small details like the buttons hands or
even the text and it could fool people

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00:05:42,650 --> 00:05:42,660
even the text and it could fool people


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00:05:42,660 --> 00:05:44,749
even the text and it could fool people
easily maybe the next job that's going

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00:05:44,749 --> 00:05:44,759
easily maybe the next job that's going


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00:05:44,759 --> 00:05:46,070
easily maybe the next job that's going
to be replaced are probably the

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00:05:46,070 --> 00:05:46,080
to be replaced are probably the


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00:05:46,080 --> 00:05:48,050
to be replaced are probably the
cosplayers and the Instagram stars or

354
00:05:48,050 --> 00:05:48,060
cosplayers and the Instagram stars or


355
00:05:48,060 --> 00:05:49,730
cosplayers and the Instagram stars or
the internet will be saturated with fake

356
00:05:49,730 --> 00:05:49,740
the internet will be saturated with fake


357
00:05:49,740 --> 00:05:51,830
the internet will be saturated with fake
AI generator celebrities that appeal to

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00:05:51,830 --> 00:05:51,840
AI generator celebrities that appeal to


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00:05:51,840 --> 00:05:53,570
AI generator celebrities that appeal to
your personal likings and if you

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00:05:53,570 --> 00:05:53,580
your personal likings and if you


361
00:05:53,580 --> 00:05:55,129
your personal likings and if you
incorporate control net which I talked

362
00:05:55,129 --> 00:05:55,139
incorporate control net which I talked


363
00:05:55,139 --> 00:05:56,990
incorporate control net which I talked
about in my previous video you will gain

364
00:05:56,990 --> 00:05:57,000
about in my previous video you will gain


365
00:05:57,000 --> 00:05:58,730
about in my previous video you will gain
so much more control while generating

366
00:05:58,730 --> 00:05:58,740
so much more control while generating


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00:05:58,740 --> 00:06:01,129
so much more control while generating
with these AIS the Precision that you'll

368
00:06:01,129 --> 00:06:01,139
with these AIS the Precision that you'll


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00:06:01,139 --> 00:06:02,629
with these AIS the Precision that you'll
be able to generate is going to change

370
00:06:02,629 --> 00:06:02,639
be able to generate is going to change


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00:06:02,639 --> 00:06:05,029
be able to generate is going to change
the digital media landscape it is also

372
00:06:05,029 --> 00:06:05,039
the digital media landscape it is also


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00:06:05,039 --> 00:06:06,830
the digital media landscape it is also
completely possible to fine-tune these

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00:06:06,830 --> 00:06:06,840
completely possible to fine-tune these


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00:06:06,840 --> 00:06:09,110
completely possible to fine-tune these
extreme realism models with Laura to a

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00:06:09,110 --> 00:06:09,120
extreme realism models with Laura to a


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00:06:09,120 --> 00:06:10,969
extreme realism models with Laura to a
specific person which in this case can

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00:06:10,969 --> 00:06:10,979
specific person which in this case can


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00:06:10,979 --> 00:06:13,249
specific person which in this case can
be potentially as dangerous as deep fake

380
00:06:13,249 --> 00:06:13,259
be potentially as dangerous as deep fake


381
00:06:13,259 --> 00:06:14,870
be potentially as dangerous as deep fake
while being much more effortless to

382
00:06:14,870 --> 00:06:14,880
while being much more effortless to


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00:06:14,880 --> 00:06:16,969
while being much more effortless to
generate once a model of them exists

384
00:06:16,969 --> 00:06:16,979
generate once a model of them exists


385
00:06:16,979 --> 00:06:18,950
generate once a model of them exists
comparing the amount of hours you need

386
00:06:18,950 --> 00:06:18,960
comparing the amount of hours you need


387
00:06:18,960 --> 00:06:21,230
comparing the amount of hours you need
to defeat a brand new video versus 6

388
00:06:21,230 --> 00:06:21,240
to defeat a brand new video versus 6


389
00:06:21,240 --> 00:06:22,850
to defeat a brand new video versus 6
minutes training of a Lora with your

390
00:06:22,850 --> 00:06:22,860
minutes training of a Lora with your


391
00:06:22,860 --> 00:06:24,529
minutes training of a Lora with your
face and anyone that obtains the model

392
00:06:24,529 --> 00:06:24,539
face and anyone that obtains the model


393
00:06:24,539 --> 00:06:26,270
face and anyone that obtains the model
will be able to generate anything with

394
00:06:26,270 --> 00:06:26,280
will be able to generate anything with


395
00:06:26,280 --> 00:06:28,610
will be able to generate anything with
your face on it infinitely the future is

396
00:06:28,610 --> 00:06:28,620
your face on it infinitely the future is


397
00:06:28,620 --> 00:06:30,110
your face on it infinitely the future is
going to be extremely worrying and

398
00:06:30,110 --> 00:06:30,120
going to be extremely worrying and


399
00:06:30,120 --> 00:06:31,850
going to be extremely worrying and
terrifying for some thank you so much

400
00:06:31,850 --> 00:06:31,860
terrifying for some thank you so much


401
00:06:31,860 --> 00:06:33,610
terrifying for some thank you so much
for watching a big shout out to Andrew

402
00:06:33,610 --> 00:06:33,620
for watching a big shout out to Andrew


403
00:06:33,620 --> 00:06:38,150
for watching a big shout out to Andrew
lascellias Chris LeDoux Alex Marie's and

404
00:06:38,150 --> 00:06:38,160
lascellias Chris LeDoux Alex Marie's and


405
00:06:38,160 --> 00:06:39,469
lascellias Chris LeDoux Alex Marie's and
many others that support me through

406
00:06:39,469 --> 00:06:39,479
many others that support me through


407
00:06:39,479 --> 00:06:41,570
many others that support me through
patreon or YouTube follow my Twitter if

408
00:06:41,570 --> 00:06:41,580
patreon or YouTube follow my Twitter if


409
00:06:41,580 --> 00:06:43,249
patreon or YouTube follow my Twitter if
you haven't and I'll see you all in the

410
00:06:43,249 --> 00:06:43,259
you haven't and I'll see you all in the


411
00:06:43,259 --> 00:06:45,500
you haven't and I'll see you all in the
next one