Professional image tool

AI Generative Fill

Paint the exact area to change, describe the replacement, and keep the rest of the image as context.

Lucidpic’s generative fill workflow uses a black-and-white mask for local inpainting. Paint, shape, or lasso the region you want regenerated, refine the selection, then enter a prompt for the new content. Each run creates a separate linked image instead of overwriting the source.

Linked, non-destructive outputGenerative Fill costs 2 credits per run.

Real workflow examples

Source and output, side by side.

Compare purpose-built source media with a real tool output. Results can vary, so inspect important details before use.

Generative fill replacing a blue kitchen tool with a red ceramic mug sourceGenerative fill replacing a blue kitchen tool with a red ceramic mug output
SourceOutput

How it works

A focused workflow, not another blank canvas.

Each tool asks only for the controls that matter to the job and saves a new result into the same media history.

  1. 01

    Choose an image

    Open an image from your library or upload one you own or have permission to edit.

  2. 02

    Select the area

    Paint, draw a shape, or use the lasso, then refine the mask so it covers only the region AI should regenerate.

  3. 03

    Describe and generate

    Write what should appear inside the mask, review the new linked image, and adjust the prompt or selection if needed.

Choose the right edit

Generative fill changes a selected area inside the frame.

Use the focused tool that matches the boundary of the change you want to make.

01

Selected-region edit

Use Generative Fill when you want to replace, add, or repair content inside a mask and can describe the desired result.

02

Outside-frame expansion

Use AI Image Extender when you need newly generated canvas beyond the top, bottom, left, or right edge.

Explore AI Image Extender

Built for real delivery work

Useful for

Replacing a prop or product detailRepairing a small damaged or distracting areaChanging clothing, decor, or surface details locallyAdding an object inside an existing compositionTrying alternate details without a whole-image editMaking another controlled pass from a previous result

Practical details

Frequently asked questions

What is generative fill?

Generative fill creates new image content inside a selected region. Lucidpic uses the surrounding image and your prompt as context for the masked edit.

How do I select the area to change?

Use an add or subtract brush, rectangle, ellipse, or lasso. You can also clear, invert, feather, expand, or contract the mask before generating.

Can generative fill remove an object?

It can replace a masked object when you describe what should appear instead. For straightforward erasing, the separate Remove Object workflow accepts a mask without requiring a prompt.

Is generative fill the same as outpainting?

No. Generative fill changes content inside a selected area of the existing frame. Outpainting adds generated content beyond the image edges.

How is this different from a general AI image editor?

Generative Fill requires a mask and focuses on one local region. A general prompt editor is better for changes that affect the whole image or do not need an explicit painted boundary.

Will everything outside the mask stay identical?

The mask focuses the edit, but generative results can still introduce small changes or edge artifacts. Inspect important faces, hands, text, logos, products, and boundaries before use.

Does it recover the original pixels?

No. The selected area is newly generated from the prompt and surrounding context; it does not reconstruct missing or previously removed camera data.

What images can I upload, and who owns the result?

Only upload images you own or are authorized to edit. Your uploads and outputs are handled under Lucidpic’s privacy policy and terms, and you remain responsible for the rights and consent needed for the source and intended use.

What happens if a request is blocked or fails?

Content restrictions can block an edit without trying another model. Other processing failures are reported in the workflow, and eligible failed runs are refunded automatically.

Keep building

View the full toolkit →

Explore the workflow

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