Guide to Generate Nude Images with TensorArt for FREE
The advantage of TensorArt is that you can generate images with just an internet connection. The problem is that you need credits, but fortunately, you can get 50 free credits, which you can use to generate at least around 30 images per day.
1. Checkpoint
In AI image generation, a Checkpoint is the main model used to generate images.

Simple Explanation:
A checkpoint is a file containing AI weights that determine how the AI interprets prompts and creates images. Each checkpoint has its own unique style and characteristics based on the data it was trained on.
Role of Checkpoints in TensorArt:
- Foundation of all image generations → Every image you create is influenced by the checkpoint you choose.
- Defines style & quality → Some checkpoints specialize in realism, anime, fantasy, or 3D illustrations.
- Can be combined with LoRa → To refine details or adjust styles.
Since I’ve only used Flux, this guide will mainly cover Flux and how to use it effectively. Flux is a checkpoint available in TensorArt that provides a balanced mix of detail and stylization, making it a great choice for various types of AI-generated images.
2. LoRa
LoRa (Low-Rank Adaptation) is a technique used to fine-tune AI models without modifying the entire checkpoint. It allows you to apply specific styles, character appearances, or artistic influences to your images without needing a large model.

How LoRa Works in TensorArt
- Acts as an “add-on” to the main checkpoint (e.g., Flux).
- Does not replace the checkpoint but modifies how it interprets prompts.
- Lightweight and efficient, requiring less computing power compared to training a full model.
- Can be stacked—you can use multiple LoRa models together to combine styles or details.
Why Use LoRa?
- Character Consistency → Helps generate the same character across multiple images.
- Style Customization → You can apply a specific art style (e.g., cyberpunk, watercolor, or anime).
- Fine Control → You can adjust the LoRa strength to make the effect subtle or strong.
3. Prompt
A prompt is the text input that guides the AI in creating an image. The more detailed and well-structured your prompt is, the better the results will be. Prompts can include descriptions of objects, styles, lighting, colors, emotions, or even camera angles to shape the final image.

How to Write an Effective Prompt
To get the best results, follow these key strategies:
Be Specific and Clear
- Instead of writing “a woman”, write “a young woman with long wavy hair, wearing a red dress, standing in a sunflower field during sunset.”
- AI works best when given clear and detailed descriptions.
Use a Structured Format
A common structure for prompts is:
[Subject], [Appearance], [Clothing], [Background], [Lighting], [Art Style], [Camera Angle]
Example:
“A cyberpunk girl with neon blue hair, wearing a black leather jacket, standing in a futuristic city with neon lights, cinematic lighting, highly detailed, 4K, concept art.”
Include Art Styles or Inspirations
You can specify styles like:
- Realistic → “ultra-detailed, photorealistic, 8K resolution, cinematic lighting”
- Anime → “anime style, vibrant colors, soft shading, dynamic pose”
- Fantasy → “magical castle, enchanted forest, glowing fairies, mystical atmosphere”
Experiment with Different Variations
- AI interprets prompts creatively, so try different wording and styles.
- If the results aren’t what you expected, adjust or reword your prompt.
4. other setting

There are many other settings in the Tensor Art Studio interface, but I think generating images with the default settings is already quite good. If you use the default settings, you can still get impressive results. However, if you want to explore and understand these settings further, I will explain them in a simple way:

Aspect Ratio – Determines the shape of the generated image. You can choose Portrait (768×1024), Landscape (1152×768), or Square (1024×1024). Custom options are also available.

Sampling Method – Affects the quality and speed of image generation. The default method in this setup is dpmpp_3m_sde_gpu, which balances speed and quality.

Sampling Steps – Controls how many steps the AI takes to refine the image. A higher number (e.g., 20) leads to more detailed results but takes longer to process.

Guidance Scale – Determines how strongly the AI follows your prompt. A higher value makes the image stick more closely to the prompt but can reduce creativity. In this setup, it is set to 3.5.

Scheduler – Defines how the AI processes the image over time. Here, it is set to Exponential, which influences the refinement process.

Seed – If left empty, the AI generates a random result each time. Setting a specific seed will help in reproducing the same image later.

Advanced Settings
- Upscale – Improves image resolution for better clarity.
- ADetailer – Enhances specific parts of the image, like faces or hands.
- Layer Diffusion – Affects how elements blend together in the final result.
These are just the basic explanations that I got from ChatGPT. If you are interested in mastering these settings, you can watch some explanation videos on YouTube. They will give you more control over your AI-generated images.
Start Generating Your Own Images!
After understanding what Checkpoints, LoRAs, and Prompts are, you can start generating your own images and at the same time, learning how these tools work.
First, you need to log in. I don’t think I need to explain this part, so let’s jump straight to the home page of TensorArt. On this page, you will see a green button labeled “Create.” You can click on it to start.

Then, you will be directed to the TensorArt Studio page, which looks like the image shown earlier.

You can select a Checkpoint and add multiple LoRAs (if needed), as well as choose the image size or aspect ratio you prefer.

Here, I selected Flux as the Checkpoint, used a few LoRAs (Lena Paul and Saggy Breasts LoRa), and entered my desired prompt, For the size, I chose Portrait (768×1152), and I left the rest of the settings as default. Then, click Generate. Here, I generated 2 images at a cost of 3.2 credits.
And here is the result.


There is something odd around the crotch area, possibly because I didn’t use a LoRa for that part. However, overall, the image quality is really good for something generated online.
So, that’s a brief guide on using TensorArt to generate AI images online. I hope this thread can be a space for us to share tips or even datasets to create LoRAs together. Personally, I have a few LoRAs that I’ve made,
MrLuckyPOV – blowjob (specifically for the “licking” pose only)
https://tensor.art/models/801516519193424081/MrLucky-Licking-v2


MrLuckyPOV – blowjob (specifically for the “sucking” pose only)
https://tensor.art/models/802378076748231539/MrLucky-Sucking-v2




NetVideoGirl – frontal view doggystyle
https://tensor.art/models/802585162891224988/frontal-view-DS-v2


BJ RAW – POV Rim Job
https://tensor.art/models/803045312802429838/POV-RJ-v2


Tongue Kissing
https://tensor.art/models/803045312802429838/POV-RJ-v2

