<s>
DreamBooth	B-General_Concept
is	O
a	O
deep	B-Algorithm
learning	I-Algorithm
generation	O
model	O
used	O
to	O
fine-tune	O
existing	O
text-to-image	B-General_Concept
models	O
,	O
developed	O
by	O
researchers	O
from	O
Google	B-Application
Research	I-Application
and	O
Boston	O
University	O
in	O
2022	O
.	O
</s>
<s>
Originally	O
developed	O
using	O
Google	B-Application
's	I-Application
own	O
Imagen	O
text-to-image	B-General_Concept
model	I-General_Concept
,	O
DreamBooth	B-General_Concept
implementations	O
can	O
be	O
applied	O
to	O
other	O
text-to-image	B-General_Concept
models	O
,	O
where	O
it	O
can	O
allow	O
the	O
model	O
to	O
generate	O
more	O
fine-tuned	O
and	O
personalised	O
outputs	O
after	O
training	O
on	O
three	O
to	O
five	O
images	O
of	O
a	O
subject	O
.	O
</s>
<s>
Pretrained	O
text-to-image	B-General_Concept
diffusion	B-Algorithm
models	I-Algorithm
,	O
while	O
often	O
capable	O
of	O
offering	O
a	O
diverse	O
range	O
of	O
different	O
image	O
output	O
types	O
,	O
lack	O
the	O
specificity	O
required	O
to	O
generate	O
images	O
of	O
lesser-known	O
subjects	O
,	O
and	O
are	O
limited	O
in	O
their	O
ability	O
to	O
render	O
known	O
subjects	O
in	O
different	O
situations	O
and	O
contexts	O
.	O
</s>
<s>
The	O
methodology	O
used	O
to	O
run	O
implementations	O
of	O
DreamBooth	B-General_Concept
involves	O
the	O
fine-tuning	O
of	O
such	O
models	O
using	O
a	O
small	O
set	O
of	O
images	O
depicting	O
a	O
specific	O
subject	O
,	O
with	O
three	O
to	O
five	O
images	O
identified	O
as	O
generally	O
sufficient	O
,	O
and	O
these	O
images	O
are	O
paired	O
with	O
text	O
prompts	O
that	O
contain	O
the	O
name	O
of	O
the	O
class	O
the	O
subject	O
belongs	O
to	O
,	O
plus	O
a	O
unique	O
identifier	O
(	O
for	O
example	O
,	O
a	O
photograph	O
of	O
a	O
[	O
Nissan	O
R34	O
GTR ]	O
car	O
,	O
with	O
car	O
being	O
the	O
class	O
)	O
;	O
a	O
class-specific	O
prior	O
preservation	O
loss	O
is	O
applied	O
to	O
encourage	O
the	O
model	O
to	O
generate	O
diverse	O
instances	O
of	O
the	O
subject	O
based	O
on	O
what	O
the	O
model	O
is	O
already	O
trained	O
on	O
for	O
the	O
original	O
class	O
.	O
</s>
<s>
Pairs	O
of	O
low-resolution	O
and	O
high-resolution	O
images	O
taken	O
from	O
the	O
set	O
of	O
input	O
images	O
are	O
used	O
to	O
fine-tune	O
the	O
super-resolution	B-Algorithm
components	O
,	O
allowing	O
the	O
minute	O
details	O
of	O
the	O
subject	O
to	O
be	O
maintained	O
.	O
</s>
<s>
DreamBooth	B-General_Concept
can	O
be	O
used	O
to	O
fine-tune	O
models	O
such	O
as	O
Stable	B-General_Concept
Diffusion	I-General_Concept
,	O
where	O
it	O
may	O
alleviate	O
a	O
common	O
shortcoming	O
of	O
Stable	B-General_Concept
Diffusion	I-General_Concept
not	O
being	O
able	O
to	O
adequately	O
generate	O
images	O
of	O
specific	O
individual	O
people	O
.	O
</s>
<s>
The	O
Stable	B-General_Concept
Diffusion	I-General_Concept
adaptation	O
of	O
DreamBooth	B-General_Concept
in	O
particular	O
is	O
released	O
as	O
a	O
free	B-License
and	I-License
open-source	I-License
project	I-License
based	O
on	O
the	O
technology	O
outlined	O
by	O
the	O
original	O
paper	O
published	O
by	O
Ruiz	O
et	O
.	O
</s>
<s>
Concerns	O
have	O
been	O
raised	O
regarding	O
the	O
ability	O
for	O
bad	O
actors	O
to	O
utilise	O
DreamBooth	B-General_Concept
to	O
generate	O
misleading	O
images	O
for	O
malicious	O
purposes	O
,	O
and	O
that	O
its	O
open-source	O
nature	O
allows	O
anyone	O
to	O
utilise	O
or	O
even	O
make	O
improvements	O
to	O
the	O
technology	O
.	O
</s>
<s>
In	O
addition	O
,	O
artists	O
have	O
expressed	O
their	O
apprehension	O
regarding	O
the	O
ethics	O
of	O
using	O
DreamBooth	B-General_Concept
to	O
train	O
model	O
checkpoints	O
that	O
are	O
specifically	O
aimed	O
at	O
imitating	O
specific	O
art	O
styles	O
associated	O
with	O
human	O
artists	O
;	O
one	O
such	O
critic	O
is	O
Hollie	O
Mengert	O
,	O
an	O
illustrator	O
for	O
Disney	O
and	O
Penguin	O
Random	O
House	O
who	O
has	O
had	O
her	O
art	O
style	O
trained	O
into	O
a	O
checkpoint	O
model	O
via	O
DreamBooth	B-General_Concept
and	O
shared	O
online	O
,	O
without	O
her	O
consent	O
.	O
</s>
