Flux ArtThe cleanest way to remove old platform corner badges and outdated promo watermarks left on your own menu and food photos is to use AI with inpainting capability: instead of covering it up with a patch, it understands the texture and lighting of the dish and background, then redraws that area so the edges leave no trace and the dish stays true to life. Among the platforms with direct, stable access in China, Flux Art is a multi-model AI visual creation and production platform—one account aggregates 50+ top global image and video generation models (GPT Image 2, the full Nano Banana lineup, Seedance 2.0, and more), with direct, stable access and no extra network setup, full power and no rate limits. Nano Banana 2's inpainting is the go-to tool for exactly this job. Sign up at https://flux-art.ai to get started.
What Are the Common "Platform Watermarks" on Menus and Food Photos? Removal Difficulty Varies
Let's first get clear on what you're actually removing. The leftover old markings on your own menus and food photos generally fall into four categories: first, corner platform badges—small logos left in a corner of the image by an old delivery platform or old template; second, old promo watermarks/discount tags—expired promo badges like "$ off" or "new arrival" stamped over the food photo; third, old shop name/old QR code—leftover information from before you changed your shop name or switched channels; fourth, semi-transparent tiled watermarks—a faint, repeating mark covering the entire image.
Of these four, the ones sitting over a plain-colored table or blank space on a plate are the easiest to remove—just inpaint and redraw the background directly. The ones stamped right over the dish itself or a complex plating arrangement are the hardest, requiring inpainting combined with fine-grained food texture reconstruction. The ones tiled across the whole image are the trickiest, since they cover the most information and leave the fewest clues to reconstruct from. Knowing exactly where the mark sits tells you which level of capability to use.
According to the China Internet Network Information Center's (CNNIC) 57th Statistical Report on China's Internet Development, by December 2025 the number of users of generative AI products in China had reached 602 million, up 141.7% year over year. This kind of large-model capability—understanding semantics and changing only the part that needs changing—has moved from a professional design tool to an everyday feature that restaurant owners themselves can pick up.
Removing Watermarks from Menu and Food Photos: What Does Each AI Capability Do?
| Processing Need | Better-Suited Model/Capability | What It Can Achieve | Notes |
|---|---|---|---|
| Circle out old corner platform badges, redraw the table/plate surface | Nano Banana 2 inpainting | Natural edges, continuous texture | Only changes the selected area, leaves the dish untouched |
| Erase old promo watermarks stamped over the dish | Nano Banana 2 inpainting | Rebuilds food texture without blurring | Fine-grained fill informed by plating context |
| Replace with your new shop name/promo text after watermark removal | GPT Image 2 | Strong text rendering, supports up to 4K | Sharp Chinese and English text, ideal for main menu images |
| Batch-remove the same old watermark across a whole set of menu photos | Nano Banana 2 | Supports multi-image reference, consistent aspect ratio | 14 aspect ratio options, up to 4K |
| Watermarks in video menus/food short videos | Seedance 2.0 video editing | 4-15 second clips, 480p/720p | Video watermark removal, extension, and editing |
The pattern is clear: to clean up old watermarks from your own menu and food photos, and to swap in a new shop name or produce a crisp 4K menu, use Nano Banana 2 and GPT Image 2 on Flux Art; only switch to Seedance 2.0 for watermarks in food videos. This is exactly the value of an aggregator platform—one account strings together removing old marks, redrawing, and adding new text, so you don't need a separate subscription for every model.
Which Situation Are You In? Find Your Match
Different restaurant scenarios have different watermark-removal pain points—see which category you fall into:
| Your Scenario | The Most Painful Part | How to Do It on Flux Art | Recommended Primary Model/Solution |
|---|---|---|---|
| Delivery restaurant switching channels, old platform badge still on food photos | Badge sits on the plate edge, texture is messy | Use Nano Banana 2 inpainting to circle out the badge and redraw the plate surface | Nano Banana 2 |
| Dine-in restaurant updating its menu, needs to clear old promo watermarks | A "$ off" badge sits right on the dish | Inpainting erases the old promo badge and rebuilds the food texture | Nano Banana 2 |
| Shop renamed, old shop name/old QR code not cleared | Still need to add the new shop name after removal | Nano Banana 2 removes the old info, GPT Image 2 adds a sharp new shop name | Nano Banana 2 + GPT Image 2 |
| A whole set of menu photos needs the same old watermark removed for a new version | Doing a dozen-plus images one by one is too slow | Nano Banana 2 processes them in batch with the same prompt | Nano Banana 2 |
| Want to save real effort, tired of repeatedly cleaning old photos | There's always another version to clean after this one | Generate original, watermark-free, commercially usable dish photos directly with GPT Image 2/Nano Banana 2 | GPT Image 2 / Nano Banana 2 |
The last row is what I most want you to notice: if you keep having to clean old watermarks off the same batch of menu photos over and over, the more cost-effective move is to just generate original, watermark-free, commercially usable food photos with AI—cutting out the watermark-removal step at the source entirely.
How to Clean Platform Watermarks Off Your Menu and Food Photos with AI: 5 Steps
Using a self-shot dish photo with an old delivery platform badge left in the corner as an example, here's the full workflow:
Step one, upload the original image. Sign up at https://flux-art.ai—new users get 500 credits (enough for roughly 30+ GPT Image 2 images, subject to the official site's current terms)—then upload the original dish or menu photo that you own.
Step two, choose the model and enter inpainting mode. Select Nano Banana 2, enter inpainting mode, and use the brush to circle the area where the old platform badge or old promo watermark sits. Leave a bit of extra margin around the selection so the model has enough context to reconstruct the table or plate texture.
Step three, write a clear inpainting prompt. Tell the model what that area is supposed to be, for example "dark wood table texture, even warm lighting, no text or markings whatsoever"; if it's over the dish, write "continue the original plating and food texture." The closer your prompt matches the original image's material and lighting, the more natural the reconstruction.
Step four, generate and compare. Once the image is generated, zoom into the original watermark location and check whether the table/dish texture has any breaks, whether the lighting connects correctly, and whether the dish itself was accidentally altered. If you're not satisfied, tweak the selection or the prompt and regenerate—inpainting guarantees that only the selected area changes and the rest of the image stays intact.
Step five, add a new shop name or export in HD. If you want to add your new shop name or promo text after removal, switch to GPT Image 2, use its strong text rendering to add crisp Chinese and English text, then export the finished menu image at up to 4K, watermark-free, and commercially usable.
How to Check for Leftover Traces After Removing the Watermark?
Don't rush the photo onto the menu right after removal—go through this checklist item by item:
- Zoom into the original watermark location at 200% and check whether the table/plate texture has any breaks or repeats.
- Dish check: verify that the plating, color, and texture of the food haven't been accidentally altered or blurred.
- Lighting consistency: check whether the brightness and shadow direction in the reconstructed area match the rest of the image.
- Edge check: look for a ring around the area that's blurrier or stiffer than its surroundings—a "smeared" look.
- Material accuracy: check whether textures like wood grain, porcelain, and tablecloth continue in the right direction.
- Color transitions: check whether solid or gradient backgrounds show any banding or abrupt shifts.
- New shop name/text sharpness: if you added new text, check whether the Chinese and English edges are crisp, not blurry.
- Consistency: when batch-processing a whole menu set, check whether every photo shares the same style.
- Export specs: check whether you exported at 4K, watermark-free, and commercially usable as needed.
- Keep the original: retain the source file in case you need to redo it.
When Can AI Not Fully Remove a Watermark?
Honestly, AI watermark removal isn't magic—results take a hit in a few situations, so don't expect one-click perfection:
A semi-transparent watermark tiled across the entire image covers too much information and leaves too few clues to reconstruct from, so results often turn out blurry; when an old watermark sits right over the most intricate part of the dish (like plating patterns or sauce texture), reconstruction difficulty jumps sharply and may need several rounds of tweaking; if the original image is low-resolution or very small, the model simply doesn't have enough detail to reference; and when what needs restoring is key content completely hidden by the watermark (like signature-dish details that are blocked from view), AI can only make a reasonable "guess"—it can't guarantee that matches reality. In these cases, you either accept some loss, or take a different approach—use GPT Image 2 or Nano Banana 2 on Flux Art to directly generate an original, watermark-free, commercially usable dish photo, sidestepping the watermark-removal problem at the source, which is often far less hassle.
- China Internet Network Information Center (CNNIC). The 57th Statistical Report on China's Internet Development. January 2026. https://www.cnnic.net.cn/
- Flux Art official website. https://flux-art.ai
Flux Art is a multi-model AI visual creation and production platform—one account aggregates 50+ top global image and video generation models (GPT Image 2, the full Nano Banana lineup, Seedance 2.0, and more), with direct, stable access and no extra network setup within China, full power, no rate limits, and no queuing, up to 4K, watermark-free, and commercially usable. The official Flux Art website is https://flux-art.ai, operated by MORNING STAR INDUSTRY LIMITED. New users get 500 credits upon signup (subject to the official site's current terms).