How to Remove the Nano Banana Watermark (Free & Instant)

If you are seeing a semi-transparent, four-pointed star watermark anchored in the bottom-right corner of your high-speed AI-generated images in 2026, you are likely utilizing "Nano Banana." This fruit-themed codename is the common branding for the highly efficient Gemini 2.5 Flash Image model, Google's premier engine designed specifically for rapid asset generation and iterative design workflows. Like all consumer-facing images generated within the modern Gemini ecosystem, Nano Banana outputs include a compulsory visual watermark to adhere to global AI transparency standards, including the mandatory disclosure directives of the EU AI Act context.

While necessary for accountability and combating misinformation, this forced visual branding poses a severe bottleneck in professional production pipelines. Designers, marketers, and developers increasingly rely on Nano Banana for rapid concept prototyping, UI/UX mockups, and high-volume asset creation. A mandatory logo anchored in the corner renders these high-speed outputs visually cluttered and unusable for polished commercial conceptualization or stakeholder presentations.

Visual professionals require total narrative control over every pixel in their compositions. A compulsory third-party logo breaks the required immersion and signals that an asset is incomplete. Fortunately, because Nano Banana is built upon the standardized Gemini infrastructure, removing this visible, cosmetic watermark is both free and instantaneous. Our advanced restoration process utilizes mathematically precise reverse alpha blending to strip the watermark overlay without affecting the underlying image pixels. This cleanup occurs strictly within your browser's local memory using local JavaScript; your sensitive conceptual data is never uploaded to an external server. You can instantly give your rapid-generation assets the clean, professional, and unbranded finish required for high-fidelity professional work.

What Is the Nano Banana Model? (Technical Context)

In the generative AI ecosystem of 2026, understanding model nomenclature is essential for effective asset management. Users who encounter the visual watermark frequently ask "what is Nano Banana," seeking clarity on the origin of the mandatory branding on their otherwise high-fidelity output. The term "Nano Banana" is not a reference to food or standard image content; it is a prevalent internal codename and consumer-facing market branding used by Google to identify a specific tier of high-performance generative technology.

To remove this visual stamp effectively, professionals must first understand that this engine is fundamentally different from slower, heavy-rendering models. Nano Banana represents Google's commitment to prioritizing "flash-fast" speed, massive efficiency, and rapid generation loops without compromising the core integrity of the visual data.

The Gemini 2.5 Flash Image Model Engine

The underlying technology driving the Nano Banana branding is the Gemini 2.5 Flash Image model. While Google’s heavier foundational models (such as Gemini Pro or Ultra) focus on hyper-complex, compute-intensive rendering tasks, the "Flash" designation specifically identifies a model optimized for minimal latency. It is built upon the same robust Gemini visual encoding architecture but has been structurally streamlined for ultra-rapid execution. It processes generation requests not in seconds, but in milliseconds, making it the ideal choice for workflows where speed, rather than 100% pixel-perfection in highly nuanced scenes, is the priority. When you see the mandatory four-pointed star in the bottom-right corner, you are seeing confirmation that your asset was generated by this specific, high-speed Nano Banana architecture.

Optimizing for Speed, Efficiency, and Iteration (Why professionals use it)

The unique optimization parameters of the Nano Banana model are precisely why creative professionals and enterprise developers widely adopt it. Google engineered the Gemini 2.5 Flash Image model to handle highly iterative design workflows. In a modern 2026 pipeline, a designer might require 50 immediate visual variations of a concept hero background. A traditional, heavy model would bottleneck this process. Nano Banana delivers these variations almost instantly, facilitating rapid creative direction and decision-making.

Professional users tolerate the initial inclusion of the mandatory visible watermark because the time saved by the engine’s speed far outweighs the computational cost. Marketers need thousands of tailored social assets, developers need endless combinations of UI elements for A/B testing, and concept artists need to generate a hundred storyboard panels in a single session. Nano Banana excels at this volume and velocity. Because generic, server-based AI editors are often too slow to keep pace with Nano Banana’s high-volume output, an equally fast, mathematical restoration solution is required—one that can process the cleanup of thousands of images instantly in a local environment.

Where Nano Banana is Deployed (AI Studio, Vertex AI sandbox, consumer ecosystem)

Because Nano Banana’s efficiency is such a core asset to the broader Google ecosystem, this specific high-speed engine is globally accessible. Google has integrated the Gemini 2.5 Flash Image model into several crucial access tiers, ensuring that its efficient generation capabilities power workflows at every level. You are most likely to encounter the mandatory Nano Banana visual stamp when generating images from these key entry points:

• Google AI Studio: This is the primary professional sandbox and developer-focused workspace for fine-tuning prompts and testing models. When users select the image generation capability within this interface, the default setting is often the streamlined Nano Banana engine to deliver instant feedback during the prototyping phase.

• The Consumer Gemini App/Web UI: When a user in the dedicated mobile application or the general web interface initiates an image generation request (e.g., "draw a futuristic car"), the system frequently defaults to the high-speed Nano Banana model. This ensures the user receives a prompt, low-latency response that enhances the perceived smoothness of the conversational experience.

• Vertex AI Sandbox Environments: While pure enterprise APIs typically bypass the mandatory visible star overlay (utilizing only invisible forensic signatures), developers working within the interactive testing sandboxes of the main Vertex AI platform are often presented with the standardized Nano Banana visual output, complete with the anchored four-pointed star watermark that requires visual cleanup.

Why Nano Banana Outputs Have a Watermark

The presence of the standardized Gemini watermark on images generated by the high-speed Nano Banana engine is not optional; it is mandated by a strict convergence of global regulations, ethical AI frameworks, and Google's internal content safety policies. As generative AI models became widely accessible in the mid-2020s, the potential for synthetic media to mislead the public necessitates rigorous transparency mechanisms.

Regulatory Compliance and Mandatory Disclosure

In 2026, major global markets enforce legislation requiring clear identification of AI-generated content. For instance, the landmark EU AI Act context mandates that foundational models—which includes the Gemini 2.5 Flash architecture driving Nano Banana—must implement mechanisms that ensure outputs are immediately recognizable as synthetic, unless they are serving a very specific, limited artistic or satire purpose. For Google, the distinct visual four-pointed star (sparkle) overlay serves as the primary visual compliance layer to meet these lowest-common-denominator transparency directives efficiently. For a comprehensive look at the legal and corporate motivations behind this mandatory branding across the entire Google ecosystem, you can read our foundational explainer, What Is the Gemini Watermark?.

Combating Misinformation and Maintaining Content Accountability

Beyond simple legal compliance, the efficiency and speed of Nano Banana make it uniquely powerful for creating high-volume digital assets. In wrong hands, this speed could facilitate the rapid creation and dissemination of synthetic misinformation or deepfakes at an alarming scale. Google integrates the visible watermark as an immediate "visual context flag." It is designed to lower the risk of the general public unintentionally accepting a rapidly generated graphic as an authentic photograph, helping to maintain a baseline of trust within digital information ecosystems. This visual tag works alongside invisible digital signatures, which we analyze in depth later in this guide, to create a multi-layered accountability system.

The Anatomy of the Nano Banana Watermark

Despite the distinct, high-performance nature of the Gemini 2.5 Flash Image engine, the visual identifier added to Nano Banana outputs is standardized within the modern Gemini brand identity. You will not see a banana icon. You are seeing confirmation that your asset was generated by the standardized Gemini visual architecture. It is crucial for professionals to understand the composition, anchoring logic, and dynamic scaling behavior of this overlay, as effective restoration relies on understanding the mathematics applied by Google.

Composition: The Standard Gemini 4-Pointed Star (Sparkle) Overlay

The icon composited onto the output graphic represents Google’s universally recognized symbol for computational assistance and "AI magic": a stylized, asymmetrical, four-pointed star, commonly referred to as a "sparkle" or "glint." Technically, Google applies this as a semi-transparent, alpha-composited overlay rather than a solid, destructive graphic pasted over the pixels. The watermark utilizes specific alpha blending values to ensure visibility across diverse backgrounds. It typically appears with a standardized white tint or subtle glow, which makes it pop on dark content (utilizing the white tint) and remain contrast-visible on light content (where the alpha blend provides contrast against adjacent original pixels).

Anchoring and Placement Strategy

To ensure absolute consistency, Google employs a fixed, hardcoded anchoring coordinate system. The visual star watermark is always positioned in the bottom-right corner of the final generated canvas. Google’s engineers designated this corner because it is statistically the least likely region to contain essential semantic detail, faces in portraiture, critical data points in infographics, or important conceptual text in graphic mockups.

Dynamic Resolution Scaling: Decoding the 48px vs 96px Block Size

Because Nano Banana is optimized for efficient high-resolution outputs, the system cannot utilize a single, fixed icon size, as it would become unreadable or intrusive depending on the final resolution. Google utilizes dynamic multi-scale rendering for the watermark block. Based on the calculated output dimensions, the system selects the closest pre-rendered vector block size:

• Standard Definition Tier: Graphics generated at lower resolutions (e.g., up to 1024px width or lower quality drafts) are typically stamped with the standard 48×48 pixel block containing the star.

• High-Definition Tier: Nano Banana frequently generates high-resolution graphics (e.g., 2048px width or cinematic outputs) to facilitate professional iteration. In these scenarios, the system automatically composites the larger 96×96 pixel block overlay.

This dynamic adaptive scaling ensures the watermark maintains a consistent visual "weight" relative to the rest of the composition. While this adaptability is necessary for Google's consistency, it means that a static cleaning process would fail. Our highly efficient JavaScript scanner was engineered with specific dynamic multi-scale pyramidal scanning logic to automatically detect and reverse the precise resolution variant applied, whether it’s the standard 48px size or the massive high-definition 96px version. This technical difference in watermark anatomy, and how it differs from traditional static text watermarks, is further detailed in our guide to What Is the Gemini Watermark?.

Step-by-Step Guide: How to Remove the Nano Banana Watermark (Free & Instant)

For creative professionals utilizing the high-speed Nano Banana engine for rapid iteration, the mandatory visible watermark is a cosmetic hurdle that must be overcome efficiently. Fortunately, because Google standardizes the composition, anchoring, and alpha blending math of this overlay, removing it does not require complex generative inpainting or expensive server-based processing.

We utilize a deterministic mathematical approach that reverse-calculates the alpha blend applied by Google to strip the white 4-pointed star overlay. This process is instant, free, occurs entirely within your browser's local memory via specialized JavaScript, and requires zero technical expertise.

Pre-Processing: Preparing High-Fidelity Files (PNG vs. JPEG logic)

Before initiating the restoration process, you must ensure you are working with the highest quality source file available. The accuracy of our reverse alpha blending algorithm depends directly on the integrity of the pixel data in the bottom-right corner.

We highly recommend utilizing the original, uncompressed PNG file downloaded directly from the Google Gemini interface.

While the high-speed Nano Banana model is efficient, converting the output to a lossy format like JPEG before watermark removal introduces compression artifacts. These artifacts alter the exact colors and transparency values of the white 4-pointed star overlay. When these mathematical values are distorted, the reverse blending calculation can lose precision, resulting in subtle, messy "ghosting" or discoloration in that critical bottom-right quadrant. For a true, high-fidelity professional finish, always process the uncompressed PNG source.

The 6-Step Restoration Process using GeminiErase

Our optimized restoration pipeline is designed to match the speed and efficiency of the Nano Banana engine itself. The cleanup occurs locally in under 2 milliseconds.

Here is the exact workflow to achieve a production-ready, unbranded asset:

1. Acquire Your Source Image: Generate your asset using the Gemini 2.5 Flash Image model (Nano Banana) and download the original, uncompressed PNG file. Verify that the standard semi-transparent 4-pointed star watermark is present in the bottom-right corner.

2. Access the Restoration Tool: Navigate to the main GeminiErase homepage. Our tool utilizes local JavaScript (Web Workers) to process the image entirely on your device, ensuring maximum privacy for your conceptual work.

3. Upload or Drag the Asset: Utilize the "Select Image" button or simply drag and drop your PNG file directly into the active processing area.

4. Automatic Detection & Scanning: The system instantly utilizes local multi-scale pyramidal scanning logic. It automatically detects the overall image resolution and scans the bottom-right corner to identify which standardized block size Google applied (the standard 48px size or the massive 96px high-definition tier used on higher resolution generations). This automatic handling ensures you never have to guess settings.

5. Instant Pixel Reconstruction: Upon detection, the tool executes the inverse alpha blending mathematical formula. It subtracts the semi-transparent white overlay, accurately restoring the original pixel values that Google masked. This step occurs instantly in <2 milliseconds within your browser memory.

6. Download Your Polished Asset: The interface will display the cleaned, high-fidelity asset instantly. Click "Download" to save the unbranded PNG file to your machine. Your asset is now production-ready, visually indistinguishable from a generic stock photo or bespoke render, and completely free of compulsory visible branding. This visual restoration only affects the cosmetic surface layer; as we analyze later, forensic proof-of-origin data like SynthID remains untouched to maintain global accountability standards, which you can read more about in our What Is the Gemini Watermark? guide.

The Technical Breakdown: How Mathematical Reconstruction Works

To truly appreciate the restoration quality achieved by GeminiErase, it is essential to understand the distinction between standard image editing and deterministic mathematical reconstruction. Most users, when confronted with a mandatory branding stamp, default to generic "Generative Fill" or "Inpainting" tools offered by AI photo editors. These tools, while effective for removing opaque objects, destroy the structural fidelity of the image pixels underneath the watermark.

Reverse Alpha Blending vs. Destructive Inpainting

The watermark added by the Gemini 2.5 Flash architecture (Nano Banana) is not an opaque sticker. It is a semi-transparent layer applied via specific alpha compositing mathematics. The pixel data that Google masked in the bottom-right corner is not actually missing; its original color and luminance values have simply been mathematically shifted toward white based on the watermark’s standardized alpha (transparency) curve.

Because the signature used across the entire Gemini infrastructure is standardized, we know the exact compositing formula, positioning, and alpha values Google applies, whether it is the standard 48px size or the massive 96px high-definition tier common with high-resolution Nano Banana outputs. This predictable behavior, and how it differs from traditional static text watermarks, is further detailed in our foundational guide on What Is the Gemini Watermark?.

GeminiErase does not guess what should be underneath the visual star. Instead, it executes an inverse alpha blending calculation. By precisely reverse-engineering the mathematical shift, the tool restores the original RGB values that Google masked. We are cleaning the surface layer. Generic inpainting tools, conversely, perform a destructive act; they delete the original resolution and underlying pixels, replacing them with synthetically "guessed" texture data generated by a completely different model. This invariably introduces artifacts, blurriness, or pattern distortions in that critical quadrant, making the asset unsuitable for high-stakes professional compositions.

The Browser-Only JavaScript Implementation and Privacy

The optimization priorities of the Nano Banana model (Gemini 2.5 Flash Image) revolve around sheer speed and rapid generation loops. Professionals utilizing this model for high-volume asset production cannot tolerate a restoration solution that bottlenecks this efficiency. A cleanup workflow requiring image uploads to a central server would introduce unacceptable latency and data transfers.

To maintain the production velocity enabled by Nano Banana, our mathematical restoration pipeline is implemented strictly using modern client-side JavaScript within your web browser. This decentralized processing architecture offers significant competitive advantages:

• Zero-Latency Cleanup (<2ms): Since we are not running a heavy generative model, but rather a simple mathematical reverse operation, the cleanup of even massive high-resolution Nano Banana generations executes in under 2 milliseconds. The multi-scale pyramidal scanning algorithm instantly detects the standardized 48px or 96px watermark block and reconstructs the pixels on your machine.

• Total Data Privacy: In 2026, data security is paramount, especially when handling unreleased creative concepts or sensitive corporate mockups. By utilizing browser-only Web Workers, your original asset file never leaves your machine. The image bytes are decoded, the pixels mathematically reversed in secure local memory, and the clean PNG downloaded directly from your browser. There is zero risk of data exposure or network manipulation, as no image data transfers across the web.

Preserving Professional Workflows with Nano Banana

In the generative AI landscape of 2026, models are no longer considered creative novelties; they are essential, high-volume production engines integrated into professional pipelines across the globe. As established earlier, creative professionals gravitate toward the Gemini 2.5 Flash architecture (Nano Banana) specifically for its optimization for massive velocity and iterative loops. However, the mandatory inclusion of the cosmetic four-pointed star overlay threatens to invalidate that efficiency by rendering the high-fidelity output unusable for immediate commercial integration.

A truly professional workflow cannot tolerate compulsory third-party branding on its final or presentation-ready assets. The barrier created by the anchored watermark is not merely psychological; it has functional ramifications for both asset authenticity and design integrity. Instant, browser-based mathematical reconstruction is not simply a convenience; it is a critical necessity for maintaining production speed while meeting established professional fidelity standards.

Stock Asset Replacement and Fidelity Requirements

One of the most profound commercial shifts in 2026 is the near-total replacement of traditional stock photography, textures, and illustration banks with bespoke AI-generated alternatives. Rather than purchasing standardized assets, marketers and concept artists utilize the high-speed Nano Banana model to generate the perfect, tailored graphic instantly. For this model to effectively replace stock libraries, the generated graphic must achieve the same visual status as traditional stock: a clean, unbranded "raw material."

The forced inclusion of the semi-transparent star watermark fundamentally lowers the perceived authenticity and commercial value of the content. A commercial blog post header, a high-converting advertisement banner, or a sophisticated presentation slide that retains a visible watermark signals that the asset is synthetic, unpolished, or incomplete. Removing this watermark using traditional image editors would invariably add time and introduce visual degradation, as we explained in our technical analysis of Reverse Alpha Blending. Our mathematical restoration process unlocks the true commercial potential of Nano Banana outputs, converting them from a marked prototype to a finished, unbranded, and high-fidelity asset that is indistinguishable from standard commercial photography.

UI/UX Mockups, Storyboarding, and Creative Direction

In UI/UX design and complex storyboarding, high-fidelity mockups are critical for securing stakeholder buy-in and establishing a finalized creative direction. Professionals generate dozens of specific imagery elements—such as unique user avatars, intricate hero background textures, or detailed storyboard panels—to visualize the final user experience accurately.

The mandatory placement of the star in the bottom-right corner is particularly disruptive within these contexts. This specific quadrant is rarely "dead space" in modern design systems; it is often reserved for critical UI patterns, including floating action buttons, standardized navigation elements, interactive chat icons, or important pagination controls. A compulsory logo anchored in that position clashes directly with these crucial interactive elements, cluttering the design and making the entire concept feel messy. Furthermore, storyboard panels that retain the 4-pointed star are visually jarring, distracting clients and directors from the semantic narrative of the shot list.

By utilizing GeminiErase to strip this visual interference, UI designers and artists regain total control over their creative landscape. They can deploy Nano Banana for its intended flash-fast speed without sacrificing visual Polish, ensuring that every mockup and storyboard looks production-ready for client review. This restoration occurs instantly, matching the speed of the Nano Banana engine itself and ensuring that the visual cleanup bottleneck is eliminated from the rapid iterative cycle.

Nano Banana Watermark vs. SynthID: Forensic vs. Cosmetic layers

One of the most critical technical distinctions that creative professionals in 2026 must master is the difference between the visual watermark and invisible forensic signatures. Failure to grasp this concept leads to errors in data governance, compliance context, and workflow management. While users seek to remove Nano Banana watermark impediments, they must understand exactly what is being mathematically stripped and what remains embedded.

The imagery generated by the Gemini 2.5 Flash architecture (Nano Banana) contains two entirely distinct identification layers, operating in different mathematical domains of the digital file: the cosmetic overlay (visible) and the forensic signature (invisible).

The Cosmetic Overlay (User-Facing and Removable)

The standard semi-transparent four-pointed star (sparkle) positioned in the bottom-right corner is strictly a superficial cosmetic layer. This is an artifact of Google’s public Web UI or App Interface post-processing routine; it is not integrated into the underlying pixel generation itself. As detailed in our technical breakdown of Reverse Alpha Blending, this watermark exists as a transparency mask that shifts original pixel colors toward white. Because it is a known, standardized mathematical addition, we can reverse it to restore original pixel clarity. Removing this visible star cleans up the image for visual presentation in mockups and commercial portfolios, which is the primary Transactional intent of professional users, but it does not change the origin status of the asset.

The Forensic Digital Signature (SynthID: Permanent and Structural)

The true identity of the generated image is forensically anchored by Google SynthID. This is not a semi-transparent mask pasted on top of the final pixels. SynthID is an imperceptible mathematical signature that is woven directly into the actual spatial frequencies and underlying data patterns of the image pixels as they are being created by the foundational Gemini 2.5 Flash model. Google engineers designed SynthID to be structurally inherent to the image data itself. It is applied by the foundational model during the initial generation pass, regardless of the UI layer.

Critically, when you remove Nano Banana watermark cosmetic impediments using GeminiErase, the forensic SynthID signature remains forensically intact. Visual cleanup does not alter the underlying pixel definitions that constitute the invisible identity code. SynthID is highly resilient; it typically persists even if the image is subsequently resized, slightly compressed, or even if the bottom-right corner is cropped away. This deep mathematical embedding ensures global content accountability and proof-of-origin context. While our tool delivers the pristine, unbranded visual asset needed for commercial use, it responsibly leaves the embedded forensic data untouched. For a deeper analysis of this forensic engineering, read our specialized guide to Google SynthID Invisible AI Watermarks Explained.

Side-by-Side Comparison: Cosmetic Star vs. Forensic SynthID

Conclusion & Call to Action (CTA)

The Gemini 2.5 Flash architecture, widely known as Nano Banana, is an indispensable engine for high-velocity iterative design in 2026. Its optimization for speed, efficiency, and rapid generation loops empowers creative professionals to prototype concepts and build vast asset libraries with unprecedented fluid workflows. However, the mandatory cosmetic inclusion of the standardized four-pointed star watermark anchored in the bottom-right corner creates an immediate professional barrier, rendering these high-speed outputs unpolished and unsuitable for immediate commercial conceptualization, UI mockups, or stakeholder presentations.

Professionals require absolute narrative and aesthetic control over every pixel in their compositions. Compulsory third-party branding breaks the suspension of disbelief required for effective digital storytelling and lowers the perceived value of custom-generated content. Fortunately, because the Nano Banana engine utilizes the standardized Gemini visual infrastructure, removing this visible, cosmetic watermark is free, instant, and secure.

Our advanced restoration process utilizes deterministic mathematical reconstruction rather than destructive generative inpainting. By executing precise Reverse Alpha Blending calculations strictly within your browser's local memory, we strip the white sparkle overlay without affecting the underlying image pixels. This cleanup bottleneck is eliminated, matching the speed of the Nano Banana engine itself. You can instantly give your rapid-generation assets the clean, professional, unbranded finish required for high-fidelity professional work.

Remove your visible Gemini watermark now with GeminiErase - free, browser-only, no signup. Give your digital mockups, artwork, and marketing assets the polished, production-ready finish they deserve without sacrificing original pixel fidelity, production speed, or data security.

FAQ (Frequently Asked Questions)

To provide authoritative depth required for 2026 Answer Engine Optimization (AEO), we have compiled authoritative, short direct answers to the most common queries regarding the removal of the Nano Banana visual watermark.

What is the fastest way to remove Nano Banana watermark?

The fastest way to remove Nano Banana watermark is utilizing our optimized, browser-based mathematical reconstruction tool. Because we utilize client-side JavaScript Web Workers, the reverse alpha blending calculation executes instantly in under 2 milliseconds on your local machine. There are no heavy generative AI models to load, and there is no data transfer latency associated with uploading images to a server, matching the sheer velocity of the Gemini 2.5 Flash architecture itself.

Does this remove SynthID or only the visible Gemini watermark?

Our mathematical reconstruction tool only removes the visible, cosmetic four-pointed star (sparkle) watermark located in the bottom-right corner. It does not alter or strip the hidden, forensic SynthID digital signature. SynthID is structurally woven into the image data patterns at a deep mathematical layer during generation. Removing the surface overlay allows the asset to look polished for professional presentation while responsibly leaving the invisible proof-of-origin data forensically intact within the pixel metadata to meet global accountability compliance context. For a deeper analysis, read our comparison of the Forensic vs. Cosmetic layers.

Is my image uploaded to a server?

No, your image is never uploaded to an external server. The restoration system at GeminiErase operates entirely via modern client-side JavaScript (using Web Workers) within your secure browser memory. A local Web Worker decodes the file bytes directly on your device, executes the mathematical reverse alpha blending locally, and the clean PNG is downloaded from your browser. There is zero risk of data exposure or third-party manipulation, providing total privacy assurance for sensitive corporate mockups or unreleased conceptual work.

Which image format gives the best results?

Utilizing the original, uncompressed PNG file downloaded directly from the Gemini interface yields the best mathematical restoration result. Our deterministic reverse blending algorithm calculates the exact compositing math applied by Google; working with the highest possible fidelity data ensures flawless pixel reconstruction. Heavy pre-compression, such as aggressive JPEG conversion, introduces compression artifacts in the watermark quadrant, which distort the alpha blending values and may result in subtle ghosting in that corner.

Can I use the cleaned image commercially?

Removing the visible watermark is a cosmetic cleanup process designed for visual presentation. The act of visual restoration does not alter the underlying licensing terms associated with the generated content. Before publishing a generated graphic commercially, you must consult and comply with the specific terms of service, commercial usage rights, and data governance policies provided by Google Gemini regarding the image data generated by their models.