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AI Based Generative Fill makes Photoshop 10x Better thumbnail

AI Based Generative Fill makes Photoshop 10x Better

MattVidPro·
5 min read

Based on MattVidPro's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Generative Fill in Photoshop is powered by Adobe Firefly and can outpaint beyond image edges to extend scenes coherently.

Briefing

Adobe is rolling generative AI directly into Photoshop workflows with tools that can expand images, remove unwanted objects, and recommend next steps—turning editing from a manual, click-heavy process into something closer to guided creation. The centerpiece is Generative Fill, powered by Adobe Firefly, which can “outpaint” beyond the edges of an image so convincingly that the added areas can be hard to distinguish from the original when the source photo is already high quality.

Early demos show Generative Fill expanding a blurry-looking border area into coherent surroundings, with reflections, lighting, and added elements that match the existing scene. Adobe also pairs this with a Remove tool that works like Magic Eraser: brush over an object, and the system attempts to seamlessly reconstruct the background. In the walkthrough, the removal sometimes shows minor artifacts (like slight bowing), but it still handles complex areas surprisingly well—especially compared with prior attempts at inpainting.

Beyond raw image synthesis, Adobe adds a contextual bar that surfaces the most relevant next actions based on what the user is doing. Instead of hunting through menus, the interface suggests options such as selecting the subject or removing the background after an image is loaded, then updates the suggestions as selections change. The goal is fewer clicks and a faster loop from intent to result.

In practice, the workflow feels tightly integrated: the user drags the AI “co-pilot” controls into place, lasso-selects a region, and triggers Generative Fill with either a blank prompt (for background/object replacement) or a short instruction (like “bright red top hat”). The system generates multiple iterations, and each generated result appears as its own layer—meaning edits can be refined, removed, or swapped without destroying the original work. Cloud processing is implied by the quick turnaround, with generation happening without noticeable heavy local computation.

The creator’s hands-on tests push beyond simple expansions: adding a top hat to a cat, inserting a puppy into a scene, expanding a crop area, and placing a tortoise into grass. The results blend well from a distance, though close inspection reveals resolution limits—especially on a high-megapixel source where the synthesized regions don’t match the native sharpness. Even so, the generated content is often “good enough” for typical creative uses like thumbnails and social images.

Adobe’s official examples reinforce the same theme: start with a photo, outpaint to add new environmental elements (like a pool with accurate reflections and clouds), insert additional subjects (elephants), and finish with small adjustments—all using Adobe Firefly. Access is currently tied to Photoshop subscribers, with the feature available through a separate Adobe Photoshop Beta app in addition to paid Photoshop.

Overall, the combination of Generative Fill, object removal, and contextual guidance is positioned as a workflow shift: less time spent on selection and cleanup, more time iterating on creative intent. The remaining friction is cost and the fact that generative output can drop in detail fidelity at close range, but the speed, layer-based control, and “edit on edit” capability make the case that Photoshop’s role in image creation is expanding rather than shrinking.

Cornell Notes

Adobe is integrating Adobe Firefly–powered generative tools into Photoshop to speed up common editing tasks. Generative Fill can outpaint beyond image borders and add new objects or styles, while a Remove tool can brush away unwanted elements and reconstruct the background. A contextual bar recommends the next most relevant action based on what’s selected, reducing menu hunting and clicks. Hands-on tests show fast cloud-based generation, multiple iteration previews, and layer-based outputs that can be removed or refined. The synthesized areas may show lower resolution on close inspection, but they blend well from a distance and can be good enough for many real-world uses.

What makes Generative Fill different from earlier outpainting or inpainting tools?

Generative Fill is tightly integrated into Photoshop’s workflow and produces results that can be hard to distinguish from the original when the source image is already strong. In the demos, it expands the canvas outward with coherent surroundings and lighting, and it can also replace or add objects inside selected regions. The hands-on test shows quick generation, multiple iteration options, and outputs that appear as separate layers so users can refine or discard them without starting over.

How does object removal work, and how does it compare to Magic Eraser?

The Remove tool uses a brush-based approach: users paint over an unwanted object, and the system reconstructs what should be behind it. The workflow is described as similar to Google’s Magic Eraser, with the goal of seamless continuity. In the walkthrough, the removal sometimes shows minor artifacts (like slight bowing), but it still performs well enough to handle more than just simple backgrounds.

What role does the contextual bar play in changing the editing workflow?

The contextual bar acts like a workflow assistant. After uploading an image, it suggests likely next steps such as selecting the subject or removing the background. As selections change, the suggestions update, which reduces the number of clicks and makes the process feel more guided. The intent is to make Photoshop actions feel more “snappy” and less menu-driven.

Why do layer-based generative outputs matter for real editing?

Each generated result is placed on its own layer. That means users can remove a generated layer entirely, swap to a different iteration, or fine-tune by generating again on top of prior edits. The walkthrough highlights this as a key advantage: edits can be stacked (“edits on edits”) while still being reversible and adjustable.

What are the practical limitations observed in the hands-on tests?

Resolution fidelity drops for close inspection. On a high-megapixel photo, the generated regions don’t match the native sharpness, showing grain or softness when zoomed in. From a distance, the results often look convincing, but professional-grade detail may require additional work or may not fully match the original image quality.

How does prompting affect results in Generative Fill?

Prompts can be left blank when the goal is replacement or background completion, and the system still generates plausible content. When a specific instruction is provided—like “bright red top hat,” “dog fur,” or adding a subject—the results can become more targeted. The walkthrough also notes occasional guideline-related failures (generated images removed for violating user guidelines), after which a more specific prompt (e.g., “dog fur”) succeeds.

Review Questions

  1. When would leaving the Generative Fill prompt blank be preferable to writing a specific instruction?
  2. How does layer-based generation change the way you iterate on an edit compared with destructive editing?
  3. What resolution or quality trade-offs appear when zooming in on generated regions, and how might that affect professional use?

Key Points

  1. 1

    Generative Fill in Photoshop is powered by Adobe Firefly and can outpaint beyond image edges to extend scenes coherently.

  2. 2

    A Remove tool enables brush-based object removal similar in spirit to Magic Eraser, aiming for seamless background reconstruction.

  3. 3

    A contextual bar recommends relevant next actions (like selecting the subject or removing the background) to reduce clicks and speed up editing.

  4. 4

    Generated results appear as separate layers, allowing users to remove, replace, or refine iterations without starting over.

  5. 5

    Hands-on tests suggest generation happens quickly via cloud processing, with multiple iteration previews per request.

  6. 6

    Synthesized regions may look convincing from a distance but can show lower resolution or artifacts when zoomed in on high-megapixel images.

  7. 7

    Access is tied to Photoshop subscriptions, with the feature available through a separate Adobe Photoshop Beta app in addition to paid Photoshop.

Highlights

Generative Fill can expand a photo’s canvas so convincingly that added areas can be difficult to distinguish from the original—especially when the starting image is already strong.
Object removal works through brushing, with the system attempting to reconstruct missing areas smoothly, though minor artifacts can appear in complex scenes.
Layer-based generative outputs make it possible to iterate like a non-destructive workflow: generate, compare iterations, delete layers, and re-run edits.
Close-up quality can lag behind native image resolution, but the results often blend well enough for everyday creative tasks.