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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.

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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

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Steps to Train a Custom Style in Krea

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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.

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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.

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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).

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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.

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Applications for Trained Models

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Brand Identity

Train models on your brand’s visual assets to maintain consistent aesthetics across all AI-generated content.

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Character Design

Create consistent characters for animations, games, or storytelling by training the AI on your character designs.

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Artistic Styles

Capture your unique artistic style or emulate specific techniques to apply across multiple projects.

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Product Visualization

Train models on your product catalog to generate consistent product images in various contexts.

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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