What is Karita AI generation tool
Karita is an open source digital painting software and its AI generation tool is used to generate images with AI. Samplers’ role is important they decide how out of image will look. In this article we will tell you how to add more samplers to karita AI generation tool.
What are samplers
Sampler is an AI generation setting that tells the process AI should use when creating images. Popular samplers are:
- Euler
- DPM++2M
- Hey
- No
- PLMS
More samplers mean more image quality options and more creative control.
How to add samplers in Karita
Step 1. Install karita and AI plugin
- Visit https://krita.org
- Install stable diffusion plugin. It is available on Github
Step 2. Setup backend AI engine
- Install stable diffusion WebUI
- Install python, Git and required dependencies in router
- Run WebUI and launch.py execute file
Step 3. Activate samplers
- Go to WebUI settings
- Click on samplers tab
- Install or enable new samplers from there
- Restart Krita plugin, new sampler will start appearing
How to add extra samplers
If you want custom samplers then:
- Add custom scripts or extensions from WebUI
- Advance samplers are available on git hub repos
- You have to manually add it by editing YAML or JSON file in plugin code
Tips for best results
- Use high end GPU for fast generation
- Do a test run of each sampler to compare outlet
- Experiment with CFG and denoising settings
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My opinion
If you are looking for how to add samplers to karita AI generation then step by step guidance will give a complete solution. By adding samplers to karita you can take your AI generation to next level.