How to Use Generative Fill in Photos
Learn how generative fill (inpainting) replaces objects, fixes damaged areas, and extends backgrounds. Step-by-step guide using Magic Eraser's AI Fill.
Product Team
Generative fill, also known as inpainting, is one of the most practical AI editing capabilities available today. Instead of simply removing an object and leaving a blank space, generative fill analyzes the surrounding context and synthesizes new pixels that blend seamlessly with the rest of the image. The result looks natural because the AI understands textures, lighting, and perspective.
This technique is useful in a wide range of scenarios. You can replace unwanted objects in a photo with contextually appropriate content, repair damaged or corrupted areas in old photographs, extend backgrounds to change the aspect ratio of an image, or fill in gaps left after cropping or straightening. Magic Eraser's AI Fill tool makes all of these workflows accessible without professional editing skills.
This guide covers how generative fill works, walks through the step-by-step process of using AI Fill, and shares practical tips for getting the most natural-looking results.
- Generative fill synthesizes new pixels based on surrounding context, not just blurring.
- Replace objects, fix damaged areas, and extend backgrounds in a single tool.
- AI Fill analyzes textures, lighting, and perspective to produce seamless results.
- No professional editing skills required to achieve natural-looking output.
- Works on photos from any source: phone camera, DSLR, screenshots, or scanned images.
What Generative Fill Is and How It Works
Generative fill differs from older removal techniques like content-aware fill or clone stamping in a fundamental way. Traditional tools copy existing pixels from nearby areas and paste them over the region you want to change. This works reasonably well for simple textures like grass or sky, but produces visible artifacts when the area involves complex patterns, edges, or objects that need to make structural sense.
AI-powered generative fill uses a diffusion model trained on millions of images. When you select a region to fill, the model examines the entire image for context: what objects are present, what the lighting looks like, what textures and patterns surround the target area, and what would logically belong there. It then generates entirely new content that fits the scene rather than copying and pasting from elsewhere in the image.
The practical difference is significant. If you remove a person standing in front of a brick wall, generative fill will reconstruct the wall pattern with correct perspective lines, mortar texture, and shadow continuity. A clone stamp would require you to manually sample, align, and blend multiple patches, which typically takes ten to twenty times longer and still looks imperfect at close inspection.
- Traditional tools copy and paste nearby pixels, which often creates visible artifacts.
- Generative fill uses diffusion models to synthesize entirely new, contextually correct content.
- The AI considers lighting, perspective, textures, and surrounding objects for coherent results.
- Complex scenes with patterns, edges, and depth are handled far more accurately than manual methods.
Step-by-Step: Using AI Fill in Magic Eraser
Start by uploading your photo to Magic Eraser through the web or mobile app. Once loaded, select the AI Fill tool from the editing toolbar. Use the brush tool to paint over the area you want to fill. You can adjust the brush size to match the region, using a larger brush for broad areas and a smaller one for precise edges around objects you want to keep.
After marking the area, AI Fill processes the image and generates content to replace the selected region. The processing typically takes a few seconds depending on the complexity and size of the area. Once the fill is generated, review the result at full zoom to check edges and texture continuity. If the first result does not look right, you can regenerate with a single click to get an alternative output, since the AI produces different variations each time.
For best results, work in stages when dealing with large or complex areas. Instead of selecting the entire area at once, fill smaller sections sequentially. This gives the AI more surrounding context to work with for each fill operation, which typically produces more coherent results. After completing the fill, download your edited image in full resolution.
- Upload your photo and select the AI Fill tool from the toolbar.
- Use the brush to paint over the area you want to replace or extend.
- Review the generated result at full zoom to check edges and textures.
- Regenerate for alternative outputs if the first result is not satisfactory.
- Work in stages for large areas to give the AI better surrounding context.
Tips for Natural-Looking Results and Common Use Cases
The most common use case for generative fill is object replacement. Perhaps there is a distracting sign in the background of an otherwise perfect portrait, or a stray object on the table in a product shot. By selecting just the unwanted element and running AI Fill, the tool replaces it with content that matches the surrounding environment. The key to natural results is selecting slightly beyond the edges of the object so the AI has room to blend the transition smoothly.
Extending backgrounds is another powerful application. If you need to change a photo from portrait to landscape orientation for a website banner, AI Fill can generate the additional background content on either side. This works especially well for images with relatively uniform backgrounds like skies, walls, or blurred bokeh. For complex scenes, extend in smaller increments and check each extension before adding more.
Repairing old or damaged photographs is where generative fill truly shines compared to manual methods. Scratches, tears, water damage, and faded areas can be selected and filled with reconstructed content that matches the original photograph's style and era. This process that once took a skilled retoucher hours of careful clone stamping can now be completed in minutes with results that are often indistinguishable from the undamaged original.
- Select slightly beyond object edges to give the AI room for smooth blending.
- Extend backgrounds in smaller increments for complex scenes.
- Use generative fill to repair scratches, tears, and water damage in old photos.
- Regenerate multiple times and compare results to pick the most natural output.
- Combine generative fill with other tools like background removal for complex edits.