Inpainting generates or replaces selected regions within an existing image while using surrounding visual context. It supports image correction, enhancement, and controlled editing for enterprise workflows such as e-commerce, entertainment, and healthcare. section 4.0 section 4.5
A practical inpainting workflow typically includes:
- Start with an existing image and mask the regions to change, such as an unwanted object or a damaged area. section 4.4
- Provide or infer a prompt describing the intended image. Stable Diffusion web UI can use CLIP to interrogate the image and guess a prompt. section 4.4
- Adjust inpainting controls, including sampling steps and sampling methods, to refine the result. section 4.4
- Add words, logos, and other precise elements manually when image models render them unreliably, then use inpainting for surrounding edits. section 4.4.4
Repairing a watercolor image
Upload a generated watercolor painting to Stable Diffusion Inpaint, mask the dog and colored region at the lower left, allow CLIP to infer the prompt, and tune the available inpainting settings before reviewing the final edits. section 4.4
Inpainting is useful when a complete image is mostly correct but specific objects, colors, text, faces, or characters require targeted revision. It complements outpainting, which expands an image beyond its original boundaries. section 4.4.4 section 4.5
