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What is Krea?
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Training Models
Key Benefits
Steps to Train a Custom Style in Krea
1. Upload a Dataset
2. Generate a Style Code
3. Apply & Refine the Style
Best Practices for Training Jobs
Applications for Trained Models
Brand Identity
Character Design
Artistic Styles
Product Visualization
Using Trained Styles Across Krea
Creative Tools
Training
Train custom AI models on your own datasets for consistent style output
Training Models
The
Training tool
in Krea allows you to
train AI models on custom datasets
, ensuring consistency across projects. This is useful for
brand identity, character design, and stylistic continuity
.
Key Benefits
Create consistent visual styles across multiple generations
Develop custom character models that maintain recognizable features
Establish brand-specific aesthetics for marketing materials
Save time by training the AI to understand your unique requirements
Steps to Train a Custom Style in Krea
1. Upload a Dataset
Users must upload at least
3 images
of the same
art style, character, or object
for AI training.
Larger datasets (10-30 images) improve the model’s ability to generalize.
For best results, include varied examples that showcase the key elements you want the AI to learn.
2. Generate a Style Code
Once trained, Krea assigns a
unique style code
that can be applied to
Flux, Edit, and Enhancer outputs
.
Example: Training on
hand-painted watercolors
will allow Krea to replicate that style on any input.
3. Apply & Refine the Style
Apply the trained style to new generations.
Refine the model by uploading additional images for more accuracy.
Publish styles for broader application (optional).
Best Practices for Training Jobs
Curate a consistent dataset
with uniform lighting, color balance, and resolution.
Start with
simpler styles
(e.g., digital paintings, graphic designs) before training highly detailed textures.
Keep refining the dataset over multiple iterations for improved results.
Use images with clear, distinctive features that represent the style you’re trying to capture.
For character models, include various poses and expressions to help the AI learn the core attributes.
Balance variety and consistency in your training data for the most versatile results.
Applications for Trained Models
Brand Identity
Train models on your brand’s visual assets to maintain consistent aesthetics across all AI-generated content.
Character Design
Create consistent characters for animations, games, or storytelling by training the AI on your character designs.
Artistic Styles
Capture your unique artistic style or emulate specific techniques to apply across multiple projects.
Product Visualization
Train models on your product catalog to generate consistent product images in various contexts.
Using Trained Styles Across Krea
Once you’ve created a trained style, you can apply it in various ways:
As a style reference in
Flux
for new image generations
As a guidance for modifications in
Edit Mode
As a style influence during upscaling in
Enhancer
As a consistent aesthetic for video generation
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