Genfill lets you add new objects or visually change specific parts of a photo using nothing more than a text prompt. Whether you are a product photographer who needs to swap out a background element, a designer filling in a missing area, or a marketer who wants to add a prop to a scene, it handles the edit without rebuilding the image from scratch. The model accepts an image and an optional mask to target exactly which area to fill. Write a prompt describing what you want in that space, and Genfill generates content that matches the surrounding textures, lighting, and color palette. A negative prompt gives you control over what to exclude, and a seed value lets you reproduce the same result every time. Genfill was trained on 100% licensed data, which means every output is safe for commercial use without copyright concerns. Drop it into a product workflow, a social media campaign, or a content production pipeline and use the results right away.
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.
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.
Everything this model can do for you
Target any specific area of the image so only that region is regenerated.
Describe the replacement in plain text and the model generates content that fits the surrounding context.
Exclude unwanted elements from the output by describing exactly what to leave out.
Set a fixed seed to get the exact same result across multiple runs.
Choose whether to preserve transparency in the output or export a fully opaque image.
Every result is derived from fully licensed data, cleared for business use without restrictions.
Enable built-in filtering to screen outputs before they reach your workflow.
