AI image prompts are the foundation of every strong generation in PornWorks AI. The better your prompt structure, word order, model logic, and LoRA setup are, the faster you get accurate images instead of random results. In this guide, we’ll show how to write better prompts for FLUX, Pony, Illustrious, and Lux Nude People, how to use LoRA templates, and how to avoid the mistakes that waste credits.
Images are not created out of thin air — it all starts with text, a request, a prompt for the neural network.
We often don’t pay enough attention to the text request, and we shouldn’t. Today, it’s not just a set of enhancement tags or random words, because modern engines like FLUX and Illustrious require a different approach.
In this article, we will analyze the «golden formula» of prompts and professional techniques that will make AI understand you at a glance.
This article will help you:
Let’s get started!
Prompt engineering for AI image prompts means giving the model a clear structure: subject, scene, pose, camera angle, style, lighting, and technical details.
Prompt engineering involves composing a text query with the aim of obtaining the highest quality and most accurate result. In the latest models, this is a strict logical structure, rather than a chaotic search through words.
Instead of relying on chance, you build your query in layers: you control the model’s attention and use technical add-ons and LoRA templates. What is LoRA models?
For neural networks, word order is critical: tokens at the beginning of a query have the greatest «weight». That is, the neural network pays more attention to them, and the further left a word is, the higher its priority.
Therefore, an effective query is structured like a two-layer cake:
The first 5–10 tokens set the overall structure. If you specify the details of the face at the beginning and the shooting plan at the end, the neural network may ignore the scale.
⚙️ Technique: First, assemble the «framework»: who, where, in what pose, and what angle (close-up, full body)
👉 Example:
A young woman running in the rain, futuristic megapolis, cinematic wide shot…
After creating the base, add details: materials, lighting, textures, wearing, atmosphere, style of painting,
👉 Example:
…latex bodysuit, neon reflections on wet asphalt, intricate tattoos, hyper-detailed eyes.
Let’s take a look at the difference clearly
score_9, score_8_up, score_7_up, 1girl, large area, ocean, seashore, mountains on the horizon, detailed night sky, waves crashing on the shore, Vietnamese resort, ships, pier, beach umbrellas, beautiful nature and scenery
Let’s summarize: first, the main elements: character, appearance, scene, pose. Finally, everything else: style, frame, drawing, details.
The FLUX model uses two «brains» — text encoders — and understanding the difference between them is very important for quality:
Therefore, in order for the neural network to understand both the plot and the details at the same time, divide the prompt into two parts:
A girl laughing under the rain at golden hour in a park (I) + silver hair, blue eyes, wet skin, sundress, hyper-detailed, cinematic lighting (II)
Why do this: if you only use tags, FLUX may get confused by complex relationships between objects. If you only use natural language, specific minor details may get lost.
💡 Tip: To keep the focus clear, duplicate the key object in both styles — with tags and with a description.
Different checkpoints in PornWorks AI «speak» different dialects:
모델 | Key feature | Prompt tips |
Pony models | Scoring | Start with: score_9, score_8, rating_explicit. Do not use “masterpiece.” Use danbooru tags. |
Anime Desire, Illustrious | Scenario | Describe the relationship: shy girl teased by coworker, anime style, dynamic angle. Use more short tags 에서 the table and also use danbooru tags. |
Lux Nude People, FLUX | Native language | Instead of using negative words in the prompt, write positively. For example, instead of “no text,” write “clean background, no signage.” |
LoRA (Low-Rank Adaptation) are micro-models for fine-tuning that allow AI to match specific styles or characters without changing the main base.
LoRA templates work best when the base AI image prompt is already stable. Do not use LoRA as a crutch for a weak prompt.
🔖 Detailed article about LoRA templates with examples
To save credits and time, do not change the entire request.
Use branching:
This way, you will find the sweet spot without losing the successful composition.
The art of prompts in 포르노웍스 AI is a balance between clear planning of the «skeleton» and flexibility in the details. By understanding the difference between CLIP and T5 and skillfully using LoRA, you will move from random images to conscious creativity.
Your next step: Try rebuilding your best prompt using the “Macro + Micro” principle and see the difference in detail!
And join our challenges on Discord. We have both weekly and daily events in the image and video categories. You can win credits, PRO subscriptions, recognition, and sometimes even money.