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metadata
title: FLUX Kontext Style Transfer
emoji: 🎨
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 5.42.0
app_file: app.py
pinned: false
hardware: zero-gpu

🎨 FLUX Kontext Style Transfer

Transform your images with 20+ artistic styles using the powerful FLUX.1 Kontext model and style-specific LoRA adapters!

This Hugging Face Space provides an easy-to-use interface for applying various artistic styles to your images using the Owen777/Kontext-Style-Loras model.

🌟 Features

  • 20+ Artistic Styles: From Studio Ghibli to Van Gogh, Pixel Art to 3D Chibi
  • High-Quality Results: Powered by FLUX.1 Kontext model
  • Easy-to-Use Interface: Simple upload and style selection
  • Customizable: Adjust inference steps, guidance scale, and LoRA strength
  • GPU-Accelerated: Runs on Hugging Face ZeroGPU for fast inference

🎭 Available Styles

Style Description
3D_Chibi Cute 3D chibi character style
American_Cartoon Classic American cartoon aesthetics
Chinese_Ink Traditional Chinese ink painting
Clay_Toy Clay toy/sculpture appearance
Fabric Textile and fabric textures
Ghibli Studio Ghibli anime style
Irasutoya Japanese illustration style
Jojo JoJo's Bizarre Adventure anime style
Oil_Painting Classic oil painting technique
Pixel Retro pixel art style
Snoopy Peanuts comic strip style
Poly Low-poly 3D art style
LEGO LEGO brick construction style
Origami Paper folding art style
Pop_Art Pop art movement style
Van_Gogh Van Gogh's distinctive painting style
Paper_Cutting Paper cutting art technique
Line Clean line art style
Vector Vector graphics style
Picasso Picasso's cubist style
Macaron Soft pastel macaron colors
Rick_Morty Rick and Morty cartoon style

πŸš€ How to Use

  1. Upload an Image: Click on the image upload area and select your image
  2. Choose a Style: Select from 20+ available artistic styles
  3. Customize (Optional):
    • Add a custom prompt for specific styling
    • Adjust advanced settings like inference steps and LoRA strength
  4. Generate: Click the "Generate Styled Image" button
  5. Download: Save your stylized image

βš™οΈ Advanced Settings

  • Inference Steps: Higher values (20-50) generally produce better quality but take longer
  • Guidance Scale: Controls how closely the model follows the prompt (7.5 is recommended)
  • LoRA Strength: Adjusts the intensity of the style application (0.1-2.0)
  • Dimensions: Control output image size (512-1536 pixels)
  • Seed: Set a specific seed for reproducible results

🎯 Tips for Best Results

  • Use high-quality input images (1024x1024 recommended)
  • Experiment with different LoRA strengths for varying style intensity
  • Try custom prompts to guide the style transformation
  • For detailed styles like "Line" or "Vector", consider using higher inference steps

πŸ”§ Technical Details

πŸ“š Model Information

The LoRA adapters are trained on high-quality paired data generated by GPT-4o and sourced from Omniconsistency. The training methodology ensures consistent and high-quality style transfers across various artistic domains.

Training Code: Available at Owen718/Kontext-Lora-Trainer

πŸ† Contributors

  • Tian YE & Song FEI - HKUST Guangzhou

πŸ“„ License

This project is licensed under the Apache 2.0 License. See the original model repository for detailed license information.

🀝 Contributing

Feel free to open issues or contact the original authors for feedback or collaboration! More style LoRAs will be released soon.

πŸ”— Links


Transform your creativity with AI-powered artistic style transfer! ✨