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Inpainting
Beginner's Guide to Inpainting (Step-by-Step Examples)
Stable Diffusion Art April 23, 2026
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Practical guide covering inpainting-specific prompt strategies, mask creation, denoising strength settings, and how to write prompts that work well for partial image regeneration and defect fixing.
Prompt
Inpainting Prompt Techniques: 1. **Mask Precision**: Paint mask carefully over the area to regenerate 2. **Prompt Focus**: Write prompts describing ONLY the masked area, not the whole image 3. **Denoising Strength**: - 0.2-0.4: Subtle changes, keeps most original content - 0.5-0.7: Moderate changes, blends new and old - 0.8-1.0: Complete regeneration of masked area 4. **Inpainting Models**: Use dedicated inpainting models for best edge blending 5. **Mask Padding**: Add padding around mask for smoother transitions 6. **Context Awareness**: The model uses surrounding pixels for context 7. **Iterative Refinement**: Multiple passes at lower denoising for subtle fixes Common Fixes: hands, faces, eyes, backgrounds, clothing details
How to Use
Mask the area you want to change, write a prompt describing what should replace it, and adjust denoising strength based on how much change you want.
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