← Back to blog

What Is Outpainting? Definition + Examples

Outpainting extends an existing image beyond its original borders by generating new content that matches the scene. Plus how it works, examples, and where to use it in AI workflows.

Correction, 2026-10-01: an earlier version said you can drag the canvas edges on 8frame to set an expansion area and run Flux Kontext or Seedream as outpainting models, and called both reliable at it. 8frame has no outpainting tool or expansion handles, and we have not measured either model on this task. The closest route on 8frame is an edit model set to a wider aspect ratio, which regenerates the whole image rather than leaving the original pixels untouched. The 8frame section is rewritten below.

Outpainting is a generative AI technique that extends an existing image beyond its original borders by synthesizing new content that blends seamlessly with the original scene.

You start with an image that already exists. Outpainting expands the canvas around it, inferring what the background, environment, or surrounding space plausibly looks like based on the colors, lighting, style, and context already present. In a true outpainting tool, the original pixels stay untouched. The model fills in what lies beyond the frame.

This is different from inpainting, which fills in a masked region inside an existing image. Outpainting works outward from the edges rather than inward from a hole.

How outpainting works

The model treats the existing image as a conditioning signal and generates new pixels in the adjacent empty regions. The process is similar to image generation but with a hard constraint: whatever gets generated has to be visually consistent with the content already there.

At inference time, the steps look roughly like this:

  1. The original image is placed on a larger canvas with empty space around it (top, bottom, left, right, or some combination).
  2. The empty regions are initialized with noise.
  3. A diffusion model denoises those regions iteratively, conditioned on both a text prompt and the visible pixels from the original image.
  4. The model produces new content that respects the scene's light direction, color palette, perspective, and subject continuity.

A text prompt is optional but useful. Without one, the model extrapolates from visual context alone. With a prompt like "wide open field, golden hour light, no people," you steer the expansion toward a specific environment.

When you use outpainting

The most common reason is changing aspect ratio without cropping or distorting the original.

Portrait to landscape. A 1:1 product shot or portrait needs to run as a 16:9 banner. Cropping cuts out the subject. Outpainting extends the background to fill the wider frame, keeping the subject where it is.

Adding background context. A tightly cropped subject sits in front of a narrow slice of environment. Outpainting expands that environment so the full scene reads as intentional rather than cramped.

Social format expansion. You shoot 9:16 for Stories, then need a 1:1 for feed and a 16:9 for YouTube thumbnails. Outpainting handles the conversion without a reshoot.

Cinematic framing. You have a square or portrait asset and want the widescreen feel of a cinematic still. Extending the canvas to 2.39:1 gives you that look without touching the original composition.

Extending a frame on 8frame

There is no dedicated outpainting tool on the 8frame canvas. What you can do is ask an edit model for a wider frame:

Flux Kontext. It takes one image, an instruction and an aspect ratio. The ratio starts on "match input image," and the list runs from 1:2 and 9:21 up to 2:1 and 21:9. Pick a wider ratio than your source and write something like "extend the scene to the left and right, keep the subject, pose and lighting unchanged." FLUX.2 [pro] edit, the default, is about 7 credits for a 1-megapixel input; Kontext Max is 13.

Nano Banana. Attach the image as a reference and choose the output ratio (ten options, including 16:9 and 21:9). Nano Banana 2 is 11 credits an image at 1K and can return up to four versions in one run.

Seedream. Seedream also accepts the image as a reference (Seedream 5 Lite, 6 credits an image). Treat style continuity in the new areas as something to check, not a given.

Because these models regenerate the whole frame, compare the subject against the original. If it drifted, layer the original back over the center in your editor and keep only the new edges.

FAQ

Can I outpaint on 8frame? Not with a dedicated tool. You can request a wider aspect ratio from an edit model such as Flux Kontext or Nano Banana and prompt it to extend the scene.

Will my original pixels stay the same? Not guaranteed. These models regenerate the image, so check the subject and composite the original back if needed.

Related concepts

Sources


Ready to expand a frame? Open the 8frame canvas, add a Flux Kontext node, and set a wider aspect ratio than your source.

Try it without signing up: the 8frame canvas opens on a real board. The canvas is free and unlimited; generation is paid from $19/month.

Written with AI assistance. Corrections are noted on the page. Editorial policy

Related articles

glossaryWhat Is the Rule of Thirds? Definition + ExamplesglossaryWhat Is Runway Gen-4? Definition + ExamplesglossaryWhat Is Seedance 2.0? Definition + Examples

Make it
move.

Stay in the loop

Be the first to hear about our launch and get product updates