Pixelprose is (likely) part of Chroma photoreal set:https://huggingface.co/datasets/lodestones/pixelprose
Since you are using training data; Clear the negatives completely.
I'm using Chroma V49 at Heun 10 steps with Beta Scheduler
CC12M Dataset (Chroma Training Data)
Excerpts from CC12M in pixelprose 'vlm_caption' field (without negatives):
PROMPT:
a group of people on a cruise ship.
There are approximately 25 people in
the image. They are all wearing
casual clothes and are standing
around the pool on the ship.
There is one person in the center
of the image who is dressed up in
a costume. They are wearing a pink
and green tutu, a lei, and a large
pair of sunglasses. They are also
holding a tambourine. All of the
people in the image are smiling
and appear to be enjoying themselves.
The background of the image is a
blue sky with white clouds. The
floor is made of wood and there
are several chairs and tables
around the pool. The image is a
photograph. It is taken from a
low angle and the people in the
image are all in focus. The
colors in the image are vibrant
and the lighting is bright. NEG: (none)
//----//
PROMPT:
A post-apocalyptic woman holding a
crossbow. She is crouched on a
pile of rubble. She is wearing a
tattered gray cloak and a pair of
goggles. Her face is dirty and she
has a scar on her left cheek. Her
hair is long and white. She is
holding the crossbow in her right
hand and it is pointed at the viewer.
She has a knife in her left hand.
The knife has a long, curved blade.
The background is a blur of gray
rubble. The image is in a realistic
style and the woman's expression is
one of determination.NEG: (none)
( For photoreal one might add prompt to this prompt , or specify it using the 'aesthetic' tag)
Trying again (with fixes):
PROMPT:
A post-apocalyptic real photo
aesthetic woman holding a crossbow.
She is crouched on a pile of rubble.
She is wearing a tattered gray cloak
and a pair of goggles. Her face is
dirty and she has a scar on her left
cheek. Her hair is long and white.
She is holding the crossbow in her
right hand and it is pointed at the
viewer. She has a knife in her left
hand. The knife has a long, curved
blade. The background is a blur of
gray rubble. The image is in a
realistic style and the woman's
expression is one of determination.NEG:
fantasy_illustration gray_illustration (Negatives are tokenized one by one separated by whitespace hence the underscore '_' )
//----//
PROMPT:
A scene from the movie Planet of
the Apes, where a group of monkeys
are driving cars on a bridge. In
the foreground, a monkey is
standing on the roof of a car,
while another is sitting in the
driver's seat. In the background,
several other monkeys are driving
cars, and one is standing on the
roof of a car, holding a gun.
The background is a destroyed city. NEG: (none)
//----//
PROMPT:
A man and a woman walking and
talking. The man is on the left side
of the image, and the woman is on
the right side. They are both
smiling. The man is wearing a dark
blue suit jacket, pants, and shoes.
The woman is wearing a white dress
and matching shoes with a red clutch
in her right hand. They are walking
on a stone path lined with trees and
grass on either side. In the
background, there is a building
with large windows. The image is a
photograph taken from a slightly
elevated angle. Negatives: (none)
//----//
Redcaps Dataset (Chroma Training Data)
A pecuiliar set within pixelprose is the Redcaps set.
TLDR; prompt like a reddit title w/o negatives , get photoreal results
Refer to for examples
Prompts from redcaps without negatives:
PROMPT:
leaves in an alley NEG: (none)
PROMPT:
i swear, his color just shines in the mornings. NEG: (none)
PROMPT:
advice for a new owner? canon t7i, 24mm , f8./200s, 100 iso , r/beardeddragons , spiro the dragon NEG: (none)
The reason why ` canon t7i, 24mm , f8./200s, 100 iso ` is because its actual titles people use at r/amateurphotography (weirdos) , and thats part of the redcaps set , and thats why such nonsense terminology can be useful in chroma.
Finally photoreal NSFW:
We don't know what photoreal NSFW sets are used.
But writing prompts like a th0t on r/gonewild works for photoreal.
elf girl fundays. just got this high
collared black bodysuit off amazon.
gorgeous green background. Here is
my white bed. real photo aesthetic.
showing off my braids and nerd
glasses. any love for an eighteen
blonde elf ….🤔💕(f) ? NEG :
onlyfans_footage casual_illustration Similarly I reckon writing pr0n video titles ought to work well for photorealistic NSFW.
Feel free to match the CC12M against the collection on NSFW story excerpts 1-30 with 1K paragraphs in each generator :
Batch encoding size for the T5 is 512 tokens. Verify the size here:
I'll leave that for something people can try for themselves with above tips as a guide.
Getty images
Getty Images hosts captions for their photos
Copy paste for easy photoreal results.
2012 Monaco Grand Prix - Saturday
2012 Monaco Grand Prix - Saturday
Monte Carlo, Monaco 26th May 2012
Force India girls. Photo by Andrew
Ferraro/LAT Images Negatives
television_screen plastic_wig
gray_3D_blur 
Mel C performs at the V99 festival
in Chelmsford on August 21st 1999
CHELMSFORD, ENGLAND - AUGUST 21:
ormer spice girl Melanie Chisholm
performs her first major solo gig
at the V99 festival in Chelmsford
on August 21, 1999. (Photo by Dave
Hogan/Getty Images) Negatives
television_screen plastic_wig
gray_3D_blur Fangrowth Generator
For NSFW try this generator :
Works well in combination with :
For example: the tag 'Amateur' =>
I can’t think of a a few things we
could do to make this pool more fun
I don’t even know why I put a
bathing suit on ;) Everything about
this moment felt right Jiggly in
all the best places Now I’m a tanned
milf lol 
//---//
Finally the conclusion I draw from Gonkee's video on embeddings in SD models: https://youtu.be/sFztPP9qPRc?si=dckBPPpLeUMAoTnl
Repetition of concepts at various places prompts is better than adding weights
, as stuff like ( blah blah :1.2) was never intended use for the FLUX / Chroma model
