Add or Replace Objects in Photos with Genfill

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Overview

Genfill is an AI inpainting tool that adds or replaces objects inside existing images using a text prompt. The typical problem it solves: you have a good photo but one area needs to change, whether that is a background element, a missing product detail, or an unwanted object you have already removed. You paint a mask over that region, describe what should appear there, and get back an image where the new content blends naturally with the surrounding pixels. On Picasso IA, the whole process runs in your browser with no software to install. The model was trained exclusively on licensed data, which means you can use the results in commercial work without copyright concerns.

How It Works

Upload the image you want to edit, then draw a mask over the region you want to change or fill
Write a text prompt describing what should appear inside the masked area
Add a negative prompt if there are specific elements you want to keep out of the result
Set a seed number if you want to reproduce the same output across multiple runs
Submit and download the finished image, with the alpha channel preserved if your original had one

Frequently Asked Questions

Do I need programming skills or technical knowledge to use this? No, just open Genfill on Picasso IA, adjust the settings you want, and hit generate.

Is it free to try? Yes, you can run Genfill without any upfront commitment. Check the credits section of your account for current usage details.

How long does it take to get results? Most edits complete within a few seconds. Larger images or more complex prompts may take a bit longer, but the wait is rarely more than half a minute.

What output formats are supported? Genfill returns a standard image file you can download immediately. By default it preserves the alpha channel from your original, which is useful for assets with transparent backgrounds. You can switch to a fully opaque output in the settings.

Can I control what gets generated inside the mask? Yes. The prompt drives what appears in the filled area, and the negative prompt steers the model away from unwanted content. Iterating on both fields gives you fine control over the final result without adjusting any other parameter.

How many times can I run the model? You can iterate as many times as your credits allow. Each run is independent, so testing the same mask with several different prompts is quick and straightforward.

Where can I use the outputs? Because Genfill was trained on fully licensed data, the results are cleared for commercial use. Product listings, marketing visuals, print materials, and client deliverables are all fair territory.

Credit Cost

Each generation consumes 1 credit

1 credit

or 5 credits for 5 generations

Features

Everything this model can do for you

Mask-based editing

Target any specific area of the image so only that region is regenerated.

Prompt-controlled fills

Describe the replacement in plain text and the model generates content that fits the surrounding context.

Negative prompt support

Exclude unwanted elements from the output by describing exactly what to leave out.

Seed reproducibility

Set a fixed seed to get the exact same result across multiple runs.

Alpha channel control

Choose whether to preserve transparency in the output or export a fully opaque image.

Commercial-safe outputs

Every result is derived from fully licensed data, cleared for business use without restrictions.

Content moderation

Enable built-in filtering to screen outputs before they reach your workflow.

Use Cases

Add a product to a lifestyle photo by masking the empty space and describing the item you want placed there

Replace an unwanted object in a scene by masking it and typing what should appear in its place

Fill in a cropped or missing area of an image with content that matches the original style and lighting

Swap out the background of a product photo by masking the backdrop and writing a prompt for the new setting

Add a prop or decorative element to a photo without manually blending it in a separate editor

Clean up a real estate photo by removing a piece of furniture and replacing it with a prompt describing a different one

Generate a variation of a product image by keeping the main subject and replacing surrounding elements via prompt

Examples

11.4s

Sync: Yes

Mask Type: manual

Num Results: 1

Preserve Alpha: Yes

Content Moderation: No

add a cherry on the cupcake