Porn prompts are requests by which a neural network creates explicit and sensual scenes with custom characters. In such scenes details matter especially: the heroine’s appearance, underwear, light, a look into the camera, slow movement. How you describe them decides whether you get an atmospheric scene or a strange clip with extra fingers.
In this article we break down what a good prompt consists of, how to describe a character, camera and movement, how to keep the heroine from clip to clip, and which mistakes occur most often. At the end there are examples of requests before and after editing.
Try generating your first prompt right now.
What porn prompts are and why their precision decides the result
The word “prompt” comes from English and means a hint or a request. In essence it is a task for a photo or video undresser. The neural network does not see what you imagine and relies only on the words.
Therefore everything you did not write the neural network invents itself. If you do not specify the light, it will choose it at random. If you do not specify the angle, the camera may end up anywhere. Sometimes such guesses turn out successful, but more often the result diverges from what you planned.
A good prompt leaves the neural network as few guesses as possible. It describes the scene the way a director explains it to a cameraman: who is in the frame, where he is, from where we shoot and what is happening.
Why it is better to write porn prompts in English
The neural networks that create video were trained mainly on descriptions in English. Therefore they understand English words more precisely: they distinguish shades of color, types of fabric, types of lighting and angles. The neural network can also understand a Russian request, but some details are lost or interpreted differently. The good news is that for this you do not need to know the language well. Three simple rules are enough:
Simple phrases are enough. The neural network understands short descriptions like “red dress”, “soft light”, “close-up shot” well. Complex turns of phrase and long sentences only hinder it.
You can use a translator. Write the description in Russian and translate it. The main thing is to check that the key details translated correctly: color, clothing, pose.
Use ready phrases. In this article we collected words for camera, light and movement. They can simply be copied and inserted into your request.
Structure of a porn prompt: what a good request consists of
The neural network pays the strongest attention to what stands at the beginning of the request. Therefore the main thing is written first, and the details after. It is convenient to assemble a prompt according to one and the same scheme:
angle → who is in the frame → appearance → clothing → pose and action → setting → light → camera movement → style
It is not necessary to fill in all the points every time. But the more of them you specify, the less the neural network will invent itself.
Element | What to specify | Example phrase |
Angle | shot size and camera point | close-up shot, from a low angle |
Who is in the frame | character and age | an adult woman around 30 years old |
Appearance | hair, eyes, build | long wavy red hair, green eyes |
Clothing | item, color, material | a black silk dress |
Pose and action | what the character does | sitting by the window, looking outside |
Setting | place and details around | a cozy bedroom with white sheets |
Light | time of day, source, softness | soft warm evening light |
Movement | how the character and camera move | the camera slowly moves closer |
Style | realism, cinema, anime | cinematic realistic style |
How to describe a character in a porn prompt
The character is the main part of most scenes, so it is worth describing him or her in more detail than everything else.
Always specify the age. Write directly: “an adult woman around 30 years old” or “a 35-year-old man”. This helps the neural network convey the appearance more precisely, and in the service characters must be clearly adult.
Describe specifically. The word “beautiful” tells the neural network almost nothing. “Long wavy red hair, green eyes, freckles” gives it a clear picture.
Describe clothing through color and material. “A dress” is too general. “A short black satin dress” immediately sets the silhouette, shine and mood.
Choose one or two main details. If you list ten appearance features, some of them will be lost. It is better to highlight what is most important to you and describe it precisely.
Do not use real people. Names of actors, bloggers and acquaintances in the prompt are not allowed. Create your own fictional characters.
Camera, light and movement: what distinguishes video from a picture
In a prompt for video it is important to describe not only the scene but also how it is shot. Here words from the language of cinema come in handy.
Shot size
close-up — close-up: the face or detail fills the whole frame;
medium shot — medium shot: the character from the waist up;
full shot — full shot: the character is visible entirely;
wide shot — long shot: the character in the surrounding setting.
Angle
eye level — camera at eye level, the most natural option;
from a low angle — from below, the character looks more expressive;
from above / top-down — from above;
side view — from the side;
POV shot — from the first person, as if through the viewer’s eyes.
Light
soft daylight — soft daylight;
warm evening light — warm evening light;
golden hour — light at sunset, warm and golden;
neon lights — neon lighting;
candlelight — candlelight.
Camera movement
the camera slowly moves closer — the camera slowly approaches;
slow pan — smooth pan of the camera;
the camera orbits around — the camera circles the character;
static shot — the camera is motionless.
Character movement
Describe one simple action: “turns her head”, “slowly stands up”, “hair moves in the wind”. The simpler and slower the movement, the more neatly the neural network will show it. Fast and complex actions most often lead to distortions.
How to keep the heroine from clip to clip
The neural network does not remember the heroine between generations. Even if you repeat the same prompt word for word, in a new clip she will have a slightly different face, a different shade of hair or a different eye shape. For one video this does not matter, but if you want to shoot several scenes with one heroine, such differences immediately catch the eye.
To avoid this, video is created in two steps.
First generate a photo from the description. Describe the heroine’s appearance, clothing and setting in the prompt and generate an image. If something is not to your liking, correct the description and try again until the heroine becomes exactly as you planned.
Then create a video from this photo. Upload the resulting image and in the prompt describe only what should happen in the frame: how the heroine moves, how the camera works, whether the light changes. There is no need to describe the appearance again; the neural network will take it from the photo.
This way the heroine will keep her face, hairstyle and clothing in every clip. For a new scene it is enough to take the same photo and describe a different movement.
Common mistakes in prompts and how to fix them
Most unsuccessful generations come from a few typical mistakes in the prompt. They are easy to notice and fix if you know what to look for.
The main detail stands at the end. The neural network takes the beginning of the request into account most strongly, and what is mentioned in the last line may be lost.
Was: A woman sitting on a bed in a cozy room with soft light, wearing red lace lingerie.
Became: An adult woman in red lace lingerie sitting on a bed in a cozy room, soft light.
Too many details. When there are twenty particulars in the prompt, the neural network distributes attention among all of them, and each comes out worse. Leave two or three main details.
Was: red hair, green eyes, freckles, earrings, necklace, bracelet, rings, tattoo, red nails, lace lingerie, stockings, heels...
Became: long red hair, green eyes, black lace lingerie
Contradictions. Details that set different moods pull the scene in different directions.
Was: bright sunny day, dark moody atmosphere
Became: dim bedroom, warm candlelight, moody atmosphere
Vague words. “Beautiful”, “sexy”, “hot” are understood differently every time. Replace them with what exactly makes the scene attractive.
Was: sexy woman, beautiful light
Became: a woman in a black satin dress, soft warm side light
Too complex movement. A dance, a run or several actions in a row often turn into distorted figures. One slow action comes out much better.
Was: she dances, then turns around, walks to the bed and lies down
Became: she slowly turns her head toward the camera
An object disappears from the frame. If shoes, a glass or jewelry disappear, it means the object was mentioned too late or not tied to a specific hand or foot.
Was: a woman sitting with legs crossed, a shoe dangling
Became: a black high heel dangling from the toes of her top foot, the other foot wears a matching heel
Errors in hands and feet. Fingers are the hardest part for any neural network. A close-up, a calm pose and direct indications in the prompt help.
Was: her hands on her knees
Became: close-up, her hands resting calmly on her knees, five fingers, natural anatomy
We told more about why fingers are so hard for neural networks in the article about the foot fetish.
Examples of porn prompts: before and after
In these examples it is visible how a simple edit turns a weak prompt for generating porn into a working request.
Cowgirl, low angle
low angle close-up shot, an adult woman around 28 years old, long dark brown wavy hair, full lips, large breasts with visible nipples, curvy hips, completely naked, sitting on top of a man in cowgirl position, riding him with deep penetration, hands on his chest, head tilted back, moaning, luxurious bedroom with white rumpled sheets and pillows, soft warm bedside lamp light mixed with morning sun, the camera slowly tilts upward from hips to face, highly detailed photorealistic, cinematic lighting, realistic skin texture, 8k, sharp focus
Doggystyle, view from behind
medium shot from behind, an adult woman around 26 years old, long straight blonde hair, athletic body, round ass, completely naked, on all fours on the bed, being fucked from behind in doggystyle, back arched, ass up, looking back over her shoulder, bedroom with dark sheets and city lights outside the window, dim warm lighting with soft rim light on her body, the camera slowly pushes in closer to her ass and back, photorealistic, ultra detailed, realistic anatomy, cinematic style, 8k
Missionary, close-up of face and body
close-up shot from slightly above, an adult woman around 30 years old, shoulder-length auburn hair, green eyes, full breasts, completely naked, lying on her back with legs spread, man between her legs, deep missionary penetration, detailed pussy stretched around cock, hands gripping the sheets, open mouth moaning expression, cozy bedroom, white sheets, soft warm lamp light, realistic skin pores and texture, cinematic, photorealistic, sharp focus, 8k, masterpiece, best quality, highly detailed
Blowjob, very close-up
extreme close-up shot, an adult woman around 25 years old, long black hair, full glossy lips, kneeling, completely naked, giving a blowjob, mouth around the cock, eyes looking up, saliva visible, on the floor next to a bed, modern apartment with soft lighting, warm dim lamp light, the camera slowly zooms in on her face and mouth, ultra detailed, photorealistic, realistic skin and saliva texture, cinematic lighting, 8k, sharp focus
Anal, side angle
side view medium shot, an adult woman around 29 years old, long wavy red hair, curvy body, big ass, completely naked, bent over the bed, thick realistic dildo inserted deep into her anus, legs straight on the floor, hands gripping the sheets, back arched, white messy sheets, soft warm lamp light, realistic skin texture, cinematic, photorealistic, sharp focus, 8k, masterpiece, best quality, highly detailed
Tips for use:
If the model is too censored — add nsfw, explicit, uncensored at the end.
For greater control over anatomy you can strengthen tags like perfect anatomy, detailed genitals.
Conclusion
Writing a good porn prompt means being a bit of a director. The neural network can do a lot, but it sees the scene only through your words. Everything you described precisely it will show as you planned. Everything you left without attention it will invent itself.
If the article is reduced to a few rules, it comes out like this: put the main thing at the beginning, describe specifically, choose one simple movement and do not forget about light and camera. And if you need the same character in several clips, start with an image.
The first prompts rarely turn out perfect on the first try, and that is normal. Each generation shows what the neural network understood correctly and what is worth clarifying. After several tries you will begin to write requests by which scenes come out on the first time.
Take any example from the article, change one detail and look at the result.
FAQ
How long should a prompt be?
Usually three to five sentences are enough. Shorter — the neural network will begin to invent too much. Longer — details will begin to be lost and interfere with each other.
Why do different generations come out from the same prompt?
Each generation begins from a random basis, so the result differs a little. This is convenient: if the first variant is not to your liking, you can simply generate the scene again without changing the request.
Can styles be mixed?
Yes, but carefully. A combination like “anime style with realistic lighting” sometimes gives an interesting result, but two opposite styles in one request often confuse the neural network. It is better to choose one main style.
What to do if the neural network stubbornly draws the wrong thing?
Move the needed detail to the very beginning of the prompt, describe it more specifically and remove everything that may contradict it. If that does not help, simplify the scene: fewer details, a calmer pose, simpler movement.
Is a porn prompt generator needed?
Prompt generators assemble a request from ready templates, and for the first tries this is convenient. But such templates do not know what is important specifically to you. If you understand the structure from this article, your own prompt will come out more precise and faster than selecting other people’s variants.
