If you’re looking to transform your line art into vibrant colored images, the ControlNet feature in Stable Diffusion SDXL is your go-to tool. This guide will walk you through setting it up effectively along with some troubleshooting tips.

What is ControlNet?

ControlNet is a special tool designed to enhance the capabilities of SDXL, enabling users to colorize line drawings efficiently. It operates best when configured with specific settings that optimize its performance.

Setting Up ControlNet

• Input Images: First, you need to set both the line art image and a pre-colored reference image.
• Preprocessor Settings: Configure your preprocessor to ‘Lineart’.
• Line Thickness: Ensure your line drawings are not too thick. It’s recommended to use either ‘lineart_anime_denoise’ or ‘lineart_anime’ for the best results.
• Background Setup: If your line art consists of black lines on a white background, utilize the ‘invert (from white bg black line)’ preprocessor.
• Recommended Models: For the fp16 version, use the animagineXL3.1 model, avoiding pony series models as they may not perform optimally.
• Lora Type: If you’re using the Lora type (400MB), ensure it’s designated for animagineXL3.1 specifically.

Visual Examples

Here’s how your images will look after applying the coloring process:

![](test1.png) This is how the image appears after applying coloring to the line art.
![](test2.png) This shows the result when you color over an already colored image.
![](test3.png) Here’s a demonstration of a simple coloring touch-up.

Troubleshooting Tips

In case you encounter issues during your coloring process, here are some troubleshooting tips to get you back on track:

• Weak Line Art Performance: If your colored output doesn’t meet expectations, revisit the thickness of your lines. Thinner lines yield better results.
• Model Mismatch: Ensure that the correct model version is in use, particularly with Lora types.
• Invert Settings: Double-check if you’re using the correct preprocessor in cases where the line art has a white background with black lines.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Conclusion

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

Now that you’re equipped with the knowledge to use ControlNet for coloring your line art, unleash your creativity and see where your imagination takes you!