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Adobe Firefly AI Image Generator Comes To Photoshop

The Generative Fill tool will arrive in the app’s tool palette sometime in the second half of this year.

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adobe firefly ai image generator come to photoshop
Adobe

Adobe Photoshop is the latest app to benefit from the explosion of Artificial Intelligence (AI) technology, gaining a new tool called Generative Fill. The company’s AI image generator Firefly benefitted from the new feature in a web-only update back in March, and today, the Generative Fill tool launches in beta for the popular photo editing program.

Generative Fill is a little like a smarter version of Adobe’s existing Content-Aware Fill feature and works within individual Photoshop image layers. The tool can be used to expand the borders of an image (a feature known as outpainting) or to generate entirely new objects, and contains a text prompt to add direction to the AI technology.

Adobe claims its AI is only trained to work on Adobe Stock images, licensed content, and images without copyright restrictions. Generative Fill also supports a system called Content Credentials, which attaches metadata-style attributes to images before they are shared online, informing viewers that content was created or edited with the help of AI.

“By integrating Firefly directly into workflows as a creative co-pilot, Adobe is accelerating ideation, exploration and production for all of our customers,” announced Ashley Still, the senior vice president of Digital Media at Adobe. “Generative Fill combines the speed and ease of generative AI with the power and precision of Photoshop, empowering customers to bring their visions to life at the speed of their imaginations,” she added.

Also Read: PicSo Review: A Popular AI-Based Text-To-Image App

Generative Fill isn’t yet available in the latest version of Photoshop, but if you’re curious about how the tool works, you can download the desktop beta app or try it out within a module of the Firefly beta. Adobe is still tight-lipped about the exact release date of Generative Fill, but says we can expect the new feature to drop sometime in the second half of 2023.

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Nano Banana 2 Arrives In MENA For Google Gemini Users

Google brings its latest image model to Gemini and Search, adding 4K output and tighter text control for regional users.

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nano banana 2 arrives in mena for google gemini users
Google

Google has opened access to Nano Banana 2 across the Middle East and North Africa, pushing its newest image model into everyday tools rather than keeping it inside the exclusive (and expensive) Pro tier.

The rollout spans the Google Gemini desktop and mobile apps, and extends to Google Search through Lens and AI Mode. Developers can also test it in preview via AI Studio and the Gemini API.

Nano Banana 2 runs on Gemini Flash, Google’s fast inference layer. The focus is speed, but also control. Users can export visuals from 512px up to 4K, adjusting aspect ratios for everything from vertical social posts to widescreen displays.

The model maintains character likeness across up to five figures and preserves fidelity for as many as 14 objects within a single workflow. This enables visual continuity across scenes, iterations, or edits — supporting projects like short films, storyboards, and multi-scene narratives. Text rendering has also been improved, delivering legible typography in mockups and greeting cards, with built-in translation and localization directly within images.

Also Read: RØDE Adds Direct iPhone Pairing To Wireless GO And Pro Mics

Under the hood, the system taps Gemini’s broader knowledge base and pulls in real-time information and imagery from web search to render specific subjects more accurately. Lighting and fine detail have been upgraded, without slowing output.

By embedding the model inside Gemini and Search, Google is normalizing advanced image generation for a mass audience. In MENA, where startups and marketing teams are leaning heavily on AI to scale content across languages and borders, that shift lands at a practical moment.

The move also folds creative tooling deeper into search itself, so that image generation is no longer a separate workflow. It now sits right next to the query box.

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