The rise of AI-assisted art tools has transformed how digital artists create and refine their work. Among these tools, Krita’s AI generation tool stands out for its flexibility and power. However, many users wonder how to add more samplers to Krita AI generation tool to improve the quality and diversity of their outputs.
If you’re an artist seeking smoother textures, varied artistic styles, or faster generation speeds, adding or modifying samplers can make a noticeable difference. This guide explains everything about samplers in Krita’s AI engine, how they work, and how you can safely add more to enhance your creative workflow.
Understanding Samplers in Krita’s AI Generation Tool
Before learning how to add more samplers, it’s important to understand what samplers are and why they matter.
In AI image generation, a sampler is an algorithm that determines how the diffusion process unfolds — basically, how your image evolves from random noise into a clear, detailed picture. Each sampler has its unique way of interpreting prompts and refining results.
For example:
- Euler a might produce artistic and sketch-like results.
- DPM++ 2M Karras often delivers high-quality, smooth, and detailed images.
- Heun or LMS may offer unique textures or faster generation times.
The sampler you choose can significantly affect the style, detail, and realism of your artwork. Hence, adding more options gives you greater control and creativity.
Why Add More Samplers in Krita AI
Krita’s built-in AI tool comes with a limited number of samplers by default. Expanding the sampler list gives you more flexibility for different artistic goals.
Here are a few reasons you may want to add more samplers:
- Enhanced quality: Some samplers produce smoother shading and better color blending.
- Creative variation: More samplers mean more diverse artistic styles and effects.
- Performance optimization: Certain samplers generate images faster or handle complex prompts better.
- Experimentation: With more samplers, you can test multiple methods to find what works best for your art style.
In short, adding samplers lets you explore your artistic potential more deeply, ensuring each project achieves the desired visual outcome.
How to Add More Samplers to Krita AI Generation Tool
Now let’s go step by step through the process of adding new samplers to Krita.
Step 1: Check Your Krita Version and Plugin
Before adding samplers, make sure your Krita and AI plugin (like Krita Stable Diffusion Plugin or Krita AI Diffusion) are up to date.
- Go to Help → Check for Updates in Krita.
- For plugins, visit their GitHub page or the Krita Artists forum to find the latest release.
- Download the compatible plugin version for your operating system.
Keeping everything updated ensures smooth integration and prevents compatibility issues.
Step 2: Locate the Sampler Configuration File
Most AI plugins for Krita store their sampler data in a configuration file within the plugin directory.
Common locations include:
- Windows: C:\Users\[YourName]\AppData\Roaming\Krita\plugins\AI_diffusion
- Linux/macOS: ~/.local/share/krita/plugins/AI_diffusion
Inside this folder, you may find a file named something like:
samplers.json
or
config.yaml
This file lists the samplers currently available in the tool.
Step 3: Edit the Sampler File
Once you locate the sampler configuration file, open it using a text editor such as Notepad++ or VS Code.
You’ll see sampler entries structured like this:
{ “samplers”: [ “Euler a”, “DPM++ 2M Karras”, “Heun” ] }
To add new samplers, simply append them within the same list. For example:
{ “samplers”: [ “Euler a”, “DPM++ 2M Karras”, “Heun”, “LMS”, “DPM++ SDE”, “DDIM” ] }
After adding the desired samplers, save the file.
Step 4: Restart Krita
Close Krita completely and reopen it. The software will reload its plugin configurations. When you open the AI Generation Tool, your new samplers should now appear in the dropdown list.
If they don’t, double-check that your syntax in the configuration file is correct — even a missing comma can cause issues.
Step 5: Test the New Samplers
Once added, test each sampler to see how it affects the final image. Use the same prompt across different samplers and observe differences in:
- Texture
- Contrast
- Realism
- Rendering speed
You may find that some samplers excel in abstract art, while others shine in portrait rendering or landscapes. Keep notes or a personal comparison chart for reference.
Tips for Managing and Customizing Samplers
- Back up your configuration files before editing.
- Use only stable samplers from trusted repositories to avoid performance issues.
- Keep your plugin updated — developers often introduce new sampler options.
- Experiment regularly. The perfect sampler depends on your creative goals.
- Balance speed and quality. Some samplers trade precision for faster results.
By following these practices, you’ll maintain a reliable and optimized setup.
Troubleshooting Common Issues
The sampler doesn’t appear in the list
Make sure the sampler’s name matches the format supported by the AI backend (e.g., Automatic1111, ComfyUI, or InvokeAI).
The image generation fails
This may happen if the sampler is incompatible with your model version or Krita plugin. Try removing that entry and reloading.
Krita crashes on startup
Restore your backup configuration file and confirm syntax correctness — JSON and YAML are sensitive to formatting errors.
Benefits of Using Multiple Samplers in Krita AI
Using multiple samplers can elevate your workflow in many ways:
- Creative control: Choose specific samplers for portrait, abstract, or photorealistic projects.
- Higher quality outputs: Some samplers refine edges or lighting better.
- Experimentation freedom: Mixing and testing encourages unique styles.
- Faster iteration: Lighter samplers allow quick drafts before final rendering.
In other words, samplers act like different paintbrushes — each gives a unique texture and character to your digital canvas.
Advanced: Integrating Custom Samplers via Backend
If you use Krita with an external backend like Stable Diffusion WebUI (Automatic1111), you can add samplers directly in the backend interface.
- Open the WebUI settings → Sampler section.
- Add or enable experimental samplers.
- Restart the backend.
Krita will automatically detect these changes when connected through the API. This method is ideal for advanced users seeking full customization.
Conclusion
Learning how to add more samplers to Krita AI generation tool opens new creative doors for digital artists. By expanding your sampler list, you gain access to different rendering algorithms, textures, and styles — all of which can dramatically influence your results.
Whether you aim for realistic portraits, surreal dreamscapes, or stylized sketches, adding and experimenting with samplers will help you fine-tune the balance between speed, quality, and style.
Keep your configuration files backed up, explore community samplers, and never hesitate to experiment — that’s where the true potential of AI art lies.
FAQs About Adding More Samplers to Krita AI
1. Can I add unlimited samplers to Krita AI?
Technically, yes, but it’s best to limit the list to known, stable samplers. Too many entries may slow down your plugin.
2. Do I need programming skills to add samplers?
No. You only need basic knowledge of how to edit a text file carefully without breaking syntax.
3. Will adding samplers improve image quality automatically?
Not always. Some samplers are optimized for certain styles or models, so test different ones for your needs.
4. What happens if a sampler doesn’t work?
Remove or comment it out from the configuration file. Then restart Krita to restore stability.
5. Where can I find new samplers?
You can explore the Stable Diffusion GitHub repositories, Krita Artists forums, and AI art communities that share custom sampler sets.
