AI Food Generator for pro-grade food photography

It creates and edits food images. It does not produce recipes, ingredient lists or nutrition information, and it cannot infer them reliably from a generated picture. Use it to visualize dishes, improve existing food photos, and build restaurant, recipe and campaign imagery.

Describe the dish in Create image: cuisine, visible ingredients, portion, plating, surface, camera angle and lighting. Generate 1 to 16 directions in one run, then refine the frame that works. Naming what should not appear, such as "no fries or drink", keeps the plate to a single item.

Yes. Attach the photo as a Reference and describe only what changes, such as the lighting, the surface or the background. Image-to-Image returns a new version and leaves your original file untouched, and Background Changer handles setting swaps on their own.

For a menu item a customer can order, photograph the real dish and use that photo as the Reference. A menu image represents a product, not only a campaign idea, and the generated version should stay anchored to what arrives at the table. Text-only generation suits dishes that do not exist yet.

Platform policies and image specifications vary. Both Uber Eats and DoorDash require menu photos to accurately represent the item, and current aspect ratios and upload rules also differ by platform. For customer-facing menu listings, using an actual dish photo as the Reference is the safer workflow. Check the current merchant requirements before you export.

Not automatically. Generative outputs can add, remove or rearrange visible ingredients, and counts such as sushi pieces, fries, dumplings or toppings can shift between renders. Review ingredient count, garnish, sides, sauce and portion against the real dish whenever the image represents something on sale.

You can use the recipe or dish description as prompt context to visualize the finished dish. Review the output, because generative imagery may add, remove or reinterpret visible ingredients. For step-by-step process documentation, start from real step photos and edit them instead of generating the process from text.

Save the dish, plating style, palette or product as an Element and call it into any prompt with @ElementName. Elements help keep recurring dishes, products, lighting or style more consistent across a series, though plating geometry and small details can still vary. When exact portion matters, use a Reference photo of the real dish.

Use the real packshot as a Reference or Product Element and change only the scene around it. Product names, ingredient panels, claims, net weight and brand marks should not be reinterpreted generatively. Check packaging text and product shape at full size before publishing, and prefer a faithful upscaler over a creative one.

Finalize the image first, then match its pixel dimensions to the physical size and resolution your printer requires; close-viewed print usually targets around 300 PPI. Send the file to Upscale image when you need additional pixels, then verify food texture, labels and hard edges at full size.

All paid plans include commercial rights to the images you create, covering menus, delivery apps, printed materials, ad campaigns and client projects. Those rights do not replace rights to third-party product photography, logos, packaging, trademarks or other material used as References, so review the output before publishing.