How to train AI to replicate your brand style
You can teach the AI to replicate your brand’s style by training a private style based on your own images. Once trained, this style can be reused with any prompt — generating new images that stay visually consistent with your brand.
What is style training?
We use LoRA-based training on a curated dataset of 10+ consistent images. The adapter learns:
Anatomy and proportions
Materials, textures, and fine detail
Color palette and lighting
Composition and camera cues
Illustration traits like line weight, shading, rendering, and shape language
Applied to new prompts, your trained style consistently reproduces these characteristics — unlike generic filters. The style is yours and remains private unless you choose to share it.
What can you do with it?
Photography — replicate consistent lighting, color, and tone across product, lifestyle, or portrait shots
Illustration — preserve brushwork, line weight, shading, and visual language across scenes
3D — maintain a fixed rendering style for turntables, stills, or mockups
Output: JPEG by default. Vector export is available as SVG for illustrations (in licensed images).
How style training works
Prepare your dataset
Upload 10+ images with consistent visual treatment — people, objects, or environments that reflect your brand identity.
Train your style
Your first private style is free to train. Each additional style costs 50 credits. Training typically completes in 1–3 hours.
Use your trained style. After training, the style becomes available in demo mode with no expiration.
You can test it freely and generate images, but:
Downloads are limited to 1K resolution
All images have a watermark
Commercial use is not allowed until a license is purchased
License your images
To remove watermarks, unlock higher resolutions, and use the image commercially — click Unlock image and purchase a license.
Each license gives you full personal and commercial rights for that specific image.
You can use licenses on any image — whether generated with your private style or with an artist-created style.
Privacy & security
Your training data is stored securely and never used to train other models.
Even if you share your style with teammates, your original dataset is never exposed.
Updated
30 July 2025
