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Kontext Style Loras

Developed by Owen777
Provide LoRA adapters with more than 20 artistic and cartoon styles for the FLUX.1 Kontext model to achieve high-quality image-to-image generation.
Downloads 2,817
Release Time : 7/4/2025

Model Overview

This repository provides LoRA adapters with more than 20 styles for the FLUX.1 Kontext model, enabling high-quality image-to-image generation in various artistic and cartoon styles. These LoRAs are trained on high-quality paired data generated by GPT-4o.

Model Features

Diverse style support
Provide LoRA adapters with more than 20 artistic and cartoon styles, including 3D Chibi, Ghibli, Van Gogh, etc.
High-quality data training
The LoRA adapters are trained on high-quality paired data generated by GPT-4o, and the data is sourced from the Omniconsistency dataset.
Easy to use
Provide a simple Python API and an online demonstration space for users to quickly try different styles.

Model Capabilities

Image style conversion
Artistic style generation
Cartoon style generation

Use Cases

Artistic creation
Artistic style conversion
Convert ordinary images into specific artistic styles (such as Van Gogh style, Picasso style, etc.).
Generate high-quality images with specific artistic styles
Entertainment applications
Cartoon character generation
Convert real photos into various cartoon styles (such as Ghibli style, Lego style, etc.).
Generate stylized cartoon characters
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