Open Photoshop and select an area with any selection tool. Then use Generative Fill. Type a short text prompt describing what you want. Click Generate. Photoshop’s AI produces three variations you can swap between non-destructively. That single loop covers most of what people mean by “using AI in Photoshop.” Beyond Generative Fill, the AI set includes Generative Expand for widening a canvas and Generative Upscale for resolution. It also includes Harmonize for blending pasted objects, plus automatic Distraction and Reflection Removal. None of these tools require you to leave the program or learn a new interface. You work in the same layers panel, the same history, and the same export flow you already know. The difference is speed. Instead of manually cloning pixels for twenty minutes, you describe the result in a sentence and review a few options. This guide walks through each tool and a full worked example. It also covers where AI still falls short of a trained retoucher. It ends with a simple framework for deciding when to reach for AI versus when to do it by hand.
What “AI in Photoshop” Actually Means
Adobe’s AI features are built on a generative model. That model is trained on licensed and public-domain imagery, plus Adobe Stock content, according to Adobe’s own product page. This training approach is part of why Adobe markets these tools as safer for commercial use. Image generators trained on scraped web content carry more legal uncertainty. Still, confirm current licensing terms before using output in paid client work. IBM’s overview of generative AI describes this same pattern across the industry. Models trained on narrower, licensed datasets tend to carry fewer downstream legal questions than models trained on broad, unfiltered scrapes.
Practically, the AI features fall into two groups. Generative tools create or extend pixels: Generative Fill, Generative Expand, and Generative Upscale. Corrective tools clean up existing pixels automatically. Harmonize matches lighting and color when you composite a new object into a scene. Distraction Removal and Reflection Removal strip out unwanted elements the AI detects on its own. A third group, Firefly Boards, is less about editing and more about early-stage layout ideas. It matters less for retouching work.
Where each tool lives in the interface
Generative Fill and Generative Expand attach directly to the selection and crop tools. Make a selection, and a small toolbar with a text field appears near your cursor. Harmonize appears among the contextual options once you are compositing with more than one layer. Distraction Removal and Reflection Removal run from Photoshop’s removal and cleanup tools and act on what the AI detects rather than the whole canvas. Exact panel locations shift between Photoshop releases, so check Adobe’s current documentation if a control is not where you expect.
If Photoshop feels like overkill for a quick edit, a broader look at AI photo-editing options covers lighter tools worth trying first. For a beginner, build familiarity with ten quick minutes of practice. Use a throwaway photo. Remove a person from a beach shot. Swap a plain wall for a textured one. Extend a portrait into a wider frame. None of these edits need a plan. The point is to build a feel for how the AI reads a selection boundary before you try it on real client work.
Using Generative Fill: A Step-by-Step Walkthrough
The clearest way to understand the AI workflow is to follow one edit start to finish. This process matches what Adobe documents for Generative Fill.
- Open or update Photoshop so you have the current AI toolset.
- Select the area you want to change with the Lasso, Marquee, or Object Selection tool.
- Type a short, concrete prompt describing the result, or leave the field blank to let Photoshop infer from context.
- Click Generate and wait a few seconds for three variations.
- Use “Generate Similar” if none of the three variations fit, or accept one and keep editing.
- Flatten or keep the generative layer separate, then export as usual.
A blank prompt tends to work best for filling in backgrounds. The AI reads the surrounding pixels for context on its own. A specific prompt works better when you are adding something new, such as “wooden chair” or “overcast sky.” Each generation lands on its own layer. You can delete a bad result without touching your original image.
Generative Expand and Upscale in practice
Generative Expand uses the same prompt-or-blank workflow. It works from the crop tool instead of a selection tool. Drag the canvas boundary outward, and Photoshop fills the new space by extending the existing scene. Generative Upscale increases resolution while adding plausible fine detail. That matters for print work or for cropping in tighter later without a visible quality drop.
AI Tools vs Traditional Editing Methods
The table below compares the two approaches on the factors that usually decide which one to reach for.
| Factor | AI Tools (Generative Fill, Expand, Harmonize) | Traditional Methods (cloning, masking, dodge/burn) |
|---|---|---|
| Typical time for a background swap | 1-3 minutes | 15-40 minutes |
| Control over exact pixel placement | Low to moderate, guided by prompts | Full, pixel-level |
| Best for | Large area fills, quick composites, rough concepts | Fine retouching, brand-critical color accuracy |
| Skill floor to get a usable result | Low | Moderate to high |
| Risk of visible artifacts | Present, especially on hands, text, and reflections | Low if executed correctly |
| File size and export impact | Larger PSDs from multiple generative layers | Typically smaller |
Neither column wins outright. AI tools compress hours of manual selection work into minutes. That is why they became the default first step for many retouchers. Traditional tools stay necessary whenever the result needs exact control. Matching a brand color swatch is one example. Fixing a client’s face in a way that cannot tolerate a subtle AI artifact is another.
A useful middle path is to start every edit with AI. Then downgrade to manual tools only for the parts that fail review. This keeps the speed advantage for most of an image, since 70 to 80% of a typical frame is low-risk background. It still protects the small, high-risk areas where a client would actually notice a mistake.
A Worked Example: Rebuilding a Furniture Listing Photo
Say you are prepping a listing photo of a wooden chair against a cluttered garage wall. You need a clean studio-style background before publishing it to an online store, a task that shows up constantly across AI workflows built for retail and product photography. The original file is 3000 by 2000 pixels. The chair occupies roughly 35% of the frame, leaving 65% as background to replace.
Using Generative Fill, set Object Selection to “invert.” This leaves everything except the chair selected: 3000 x 2000 x 0.65 = 3,900,000 pixels to fill. Leave the prompt blank so Photoshop infers a neutral surface from the chair’s existing lighting. Generation takes about 12 seconds and returns three options. You pick the second and click Generate Similar once more for a slightly brighter version. Total active editing time: roughly 90 seconds. A manual clone-and-heal job at that resolution would take an estimated 25 minutes by hand. That is a rough 16x time reduction for this specific task. Still, a manual edit would likely give you tighter control over shadow placement under the chair legs.
Common Mistakes When Using AI in Photoshop
- Accepting the first generation without checking edges. AI fills often blend well in the center of a selection. They can leave a visible seam at the boundary, so zoom to 100% before moving on.
- Using vague prompts for precise needs. “A wall” works for a rough background. “A light gray painted wall with faint horizontal wood paneling” gets you closer to a specific brief.
- Skipping Harmonize after compositing. A pasted object without color and light matching looks obviously fake, even when the AI-generated background is convincing on its own.
- Ignoring hands, text, and reflective surfaces. These remain the spots where generative fills are most likely to distort or invent nonsense detail.
- Flattening too early. Once you merge a generative layer down, you lose the ability to regenerate or swap variations without starting over.
Honest limitations to keep in mind
AI tools in Photoshop are strong at plausible-looking fills. They are weak at exact continuity. Straight architectural lines, small background text, and mirror reflections are the three areas retouchers report the most regeneration attempts. Processing depends on Adobe’s cloud service. A slow connection means slower generations. Heavy AI use on large files can also noticeably increase your PSD size and save times.
Decision Framework: Choosing AI or Manual Editing
Use this quick framework before you start an edit:
- If the task is a large, low-detail area (sky, plain wall, out-of-focus background), start with Generative Fill. It is faster, and the result quality is usually already good.
- If the task involves faces, hands, text, or brand-specific color, default to traditional tools first. Use AI only to generate reference options you then repaint manually.
- If you are extending a canvas for a different aspect ratio, Generative Expand almost always beats manually cloning new edge content.
- If the client brief demands pixel-perfect accuracy, treat AI output as a draft, not a deliverable, and finish by hand. Packaging mockups and catalog photography with strict color specs fall into this group.
- If you are under a tight deadline and the result only needs to look plausible at normal viewing size, AI-first is the efficient choice.
This is not an all-or-nothing decision. Most professional workflows now blend both. AI handles the bulk of large-area work, and manual tools clean up the specific spots where precision actually matters.
Frequently asked questions
Are Photoshop’s AI features available on mobile?
Can I use AI-generated content commercially?
Why does Generative Fill sometimes produce something unusable?
Do I need a fast computer to use these features?
Photoshop’s AI tools do not replace retouching skill. They change where you spend your time, shifting hours of manual work into short review cycles you still have to judge with a trained eye. Businesses adopting these workflows report similar patterns, per the U.S. Chamber of Commerce’s coverage of workplace AI adoption: the tools save time on repetitive work, but a trained person still has to review the output. If you want a structured way to build that broader AI fluency, Coursiv’s AI lessons walk through practical AI skills, including creative and image-editing workflows, at your own pace.