For a long time, editing images meant a painstaking process of cropping, adjusting colours, and manually fixing imperfections. Whether it was removing an unwanted person from a holiday photo or trying to expand a landscape shot that was just a bit too tight, the process was complicated and required a lot of skill.

But imagine a tool that can not only remove an object from a photo but also intelligently fill the empty space with new, realistic content. Or a tool that can take a small image and seamlessly extend its borders, creating a much larger picture that wasn't there before.

The reality of inpainting and outpainting is no longer a futuristic concept. Two powerful applications of artificial intelligence that are transforming how we create and edit images. These are not simple filters or effects. They are sophisticated generative tools that understand the context of an image and can create new pixels that fit perfectly.

In this article, we'll explain what Inpainting and Outpainting are and how they work.

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What Is Inpainting?

Inpainting is the process of using AI to intelligently fill in missing or unwanted parts of an image. Think of it as a super-smart "erase and replace" function. You select an area you want to change—it could be a person, a power line, or a crack in a wall—and the AI removes it. But instead of just leaving a blank space, it generates new content that matches the surrounding area, making the edit look completely natural.

How Does Inpainting Work?

Inpainting relies on a type of AI model called a generative model, with diffusion models being the most popular and effective today. Here's a simplified breakdown of the process:

1. Input & Masking:
   You start with your image and use a brush or selection tool to "mask" or highlight the area you want to change. This tells the AI, "Hey, this is the part you need to work on."
2. Contextual Analysis:
   The AI model then analyzes the unmasked parts of the image. It looks at the textures, colours, and objects surrounding the masked area to understand the overall scene. For example, if you're trying to remove a boat from the sea, the AI notes that the surrounding area is water and sky.
3. Content Generation:
   Using its deep understanding of the image's context, the AI generates new pixels to fill the masked space. It's not simply cloning existing pixels. It's creating entirely new content that blends in perfectly.
4. Seamless Integration:
   The new content is then blended with the original image, making the edit look seamless and realistic.

What Are the Common Use Cases for Inpainting?

Inpainting is incredibly versatile, with applications in professional and personal projects.

• Removing Unwanted Objects:
  This is the most common use. You can get rid of photobombers from a family picture, clear clutter from a product photo, or even erase logos and text. For a more detailed guide on this, read our article on How to Remove Unwanted Objects from your Photos Easily?
• Photo Restoration:
  Old photos often have scratches, tears, or spots. Inpainting can be used to repair these damaged areas, making the photo look new again. 
• Digital Art & Design:
  Artists can use inpainting to fix mistakes in their digital paintings, add new elements, or refine details without having to redraw large sections.
• Video Editing:
  Inpainting can be applied to video frames to remove objects, a process crucial in modern visual effects (VFX) for films.

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What Is Outpainting?

While inpainting fills in the blanks, outpainting is all about expanding the canvas. It's the process of using AI to generate new content outside the original image's boundaries. This allows you to take a small image and make it much larger, creating an entirely new scene around the original subject.

How Does Outpainting Work?

Outpainting uses the same core technology as inpainting—powerful generative AI models. The process works like this:

1. Canvas Extension:
   You start with an image and extend the canvas in one or more directions (up, down, left, or right). This creates blank space around the original picture.
2. Generative Expansion:
   The AI analyzes the original image, paying close attention to its style, colours, and subject matter. It then generates new content in the blank areas that logically continues the scene.
3. Seamless Stitching:
   The new content is generated in a way that blends seamlessly with the edges of the original image, creating a cohesive, larger picture.

For example, if you have a tight portrait of a person standing on a beach, outpainting could extend the canvas to reveal the vast ocean behind them and the sand at their feet, all in the same style and lighting. This is similar to the concept of AI upscaling.

Common Use Cases for Outpainting

Outpainting has a wide range of creative and commercial applications.

• Creating Wider Shots: If you love a photo but wish it was a wider shot, outpainting can help you "zoom out" and show more of the surroundings.
• Generating Social Media Banners: A square image can be outpainted to create a wide banner for a website header or social media profile, all while maintaining the original theme.
• Artistic Expression: Artists can use outpainting to expand on their existing work, taking a small drawing or painting and creating a much larger, more detailed piece around it. This process can be used to convert a photo into a painting.
• Marketing & Advertising: Brands can use outpainting to adapt product photos for different ad formats, creating vertical images for Instagram Stories from a horizontal product shot.

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Inpainting vs. Outpainting: What's the Difference?

While they both use similar AI technology, their purpose is different. Think of it this way:

Feature	Inpainting	Outpainting
Purpose	To remove or replace existing content within an image.	To add new content outside the original image's borders.
Action	Modifies the inside of an image.	Extends the outside of an image.
Goal	To fix, alter, or improve a specific part of a photo.	To expand the scene and create a wider or more complete composition.
Analogy	Using a digital eraser and then "filling in" the space.	Using a digital canvas extension tool and "painting" a new scene.

In short, inpainting is for fixing or refining, and outpainting is for expanding and creating a bigger picture.

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What AI Models are used for Inpainting and Outpainting?

The magic of inpainting and outpainting is made possible by sophisticated AI models, primarily diffusion models. These models work by learning from millions of images to understand how to generate new, high-quality images.

Diffusion models are particularly good at this because they work by "de-noising" an image. The process starts with a completely random, noisy image and then, step by step, the model removes the noise to reveal a clear image that matches a given prompt or the surrounding context.

When used for inpainting, the model takes the masked area (which is essentially a block of noise) and "denoises" it based on the information from the rest of the image. For outpainting, it applies the same de-noising process to the newly added blank areas.

This is a different approach from older models like GANs (Generative Adversarial Networks), which were also used for image generation but often struggled with creating consistent, high-quality images. Diffusion models are generally better at producing realistic and cohesive results.

What are the best tools for Inpainting and Outpainting?

The technology is now more accessible than ever, with many user-friendly tools that make it easy to start. Here are some of the most popular options, each with its own strengths.

ArtSmart.ai

ArtSmart.ai is a user-friendly platform that combines many AI creative tools in one place, including inpainting and outpainting. It's geared toward both artists and businesses needing commercial-grade images quickly.

• Pros: Easy-to-use interface, generates images for commercial use, includes other tools like background removal and upscaling, and has a community for inspiration.
• Cons: No free plan or trial, and it's a subscription-based service.

Adobe Photoshop with Generative Fill

Generative Fill is Adobe's version of inpainting and outpainting, integrated directly into Photoshop. It's a game-changer for digital artists and photographers who are already part of the Adobe ecosystem.

• Pros: Seamless integration with a professional-grade editor, intuitive interface, high-quality results.
• Cons: Requires a Creative Cloud subscription, which might be expensive for casual users.

Midjourney

Midjourney is known for its incredible artistic capabilities, and its outpainting features are equally impressive. Using commands like --pan or --zoom, you can expand your images in different directions.

• Pros: Produces stunning, high-quality artistic results, great for creative projects.
• Cons: It's a text-based tool (used with Discord), which can have a learning curve.

Stable Diffusion

Stable Diffusion is an open-source model that has become a favourite for many creators. It can be used for both inpainting and outpainting and offers a high degree of control and customisation.

• Pros: Open-source and free to use (if you have the hardware), highly flexible and customisable.
• Cons: Can be more technical to set up and use, requires a powerful computer for local use.

Other Accessible Tools

For those who want quick, easy solutions, tools like Fotor and Picsart have integrated inpainting features. These are often web-based or mobile apps that are simple to use and perfect for making quick edits on the go.

How Can I Get Started with Inpainting and Outpainting?

Ready to get your hands on these powerful tools? Here’s a simple workflow to get you started.

Step 1: Choose Your Tool

Decide which tool is right for you. If you have Photoshop, Generative Fill is a great place to start. If you're looking for a flexible option, ArtSmart could be a good choice.

Step 2: Start with an Image

Select an image you want to edit.

• For inpainting, pick a photo with an object you want to remove.
• For outpainting, choose an image you want to expand.

Step 3: Inpainting Workflow

1. Open your image in the tool of your choice.
2. Use the selection brush or lasso tool to highlight the area you want to fix or remove.
3. Write a simple prompt. For example, if you're removing a person from a beach photo, you might simply leave the prompt blank or write "ocean, sand." The AI will understand the context and fill it in.
4. Generate the new content. The tool will give you a few options to choose from. Pick the one that looks the most natural.

Step 4: Outpainting Workflow

1. Open your image and expand the canvas.
2. Select the newly blank area and provide a prompt. For example, if you have a photo of a person and want to add a city skyline, your prompt could be "city skyline at sunset."
3. Generate the new content. The AI will create a new scene that matches the style and lighting of your original image.

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What's Next for Inpainting and Outpainting?

Inpainting and outpainting are just the beginning. The technology is advancing at a rapid pace, and we can expect even more sophisticated tools in the future.

The Rise of Video Inpainting

While we've focused on still images, AI video editing is the next frontier. We're already seeing the early stages of this, where AI can remove or add objects in video footage with remarkable speed and accuracy.

This technology will be a game-changer for content creators, filmmakers, and even social media users who want to clean up their video clips without complex software. It promises to make professional-level video editing accessible to everyone, from correcting minor flaws to creating seamless visual effects that would have once required an entire team of specialists.

Seamless Integration with 3D Content

Imagine using a simple 2D photo as a starting point to generate a full 3D environment. This is a possibility with future models. AI will be able to interpret the depth, lighting, and textures in a flat image and then generate a 3D scene around it, allowing you to move around and explore the space.

This will have major implications for video games, architectural visualisation, virtual reality, and artistic expression, blurring the lines between photography and 3D design.

Achieving Hyper-Realistic Edits

As AI models become more advanced, they will get even better at understanding complex elements like light, shadow, and texture. This will allow for edits that are virtually indistinguishable from reality.

We can expect AI to flawlessly match the unique way a certain type of fabric drapes or the way light reflects off a metal surface. This will elevate the quality of inpainting and outpainting, making it a reliable tool for professional photography and design where perfect realism is a necessity.

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Conclusion: The End of Limitations

Inpainting and outpainting are more than just tech buzzwords. They are powerful, creative tools that are changing the way we think about images. They have democratised a level of editing that was once only available to skilled professionals, putting the power to fix, expand, and transform images into the hands of everyone.

Whether you're a photographer looking to perfect your shots, a digital artist exploring new creative boundaries, or a business owner creating better marketing materials, these AI tools are no longer a luxury—they are an essential part of the modern creative toolkit. They remove the technical barriers and allow you to focus on what matters most: your vision.

Frequently Asked Questions

1. Is outpainting the same as upscaling? 

No, outpainting and upscaling are different. Outpainting adds new content to the edges of an image to expand it, essentially creating a larger scene. Upscaling increases the resolution of an existing image without adding new content. While both make an image larger, upscaling improves quality and detail, while outpainting extends the original picture.

2. Can I use inpainting to remove a person from a photo? 

Yes, removing unwanted objects or people is one of the most common and effective uses of inpainting. You simply select the person you want to remove, and the AI will fill in the area with realistic content that matches the surrounding background.

3. Are these tools difficult to use for a beginner? 

No. Many modern tools, especially those from companies like Adobe and Picsart, are designed with user-friendly interfaces. They often use simple brush or lasso tools and clear instructions, making it easy for beginners to get started with no prior experience.

4. Can inpainting and outpainting be used on videos? 

Yes, although it's a more complex process. Video inpainting and outpainting can be done by applying the same generative AI technology to each frame of a video. This is a common technique in professional visual effects (VFX) to remove or add objects in a moving scene.

Sources:

Adobe

Machine Learning Mastery

Stable Diffusion

AI Arty