AI Product Photo Generator

It replaces the three expensive parts of a product shoot: the room, the light and the retouching.

You type a scene. The model composes it. A generated product photo is built from your description, so accuracy depends on how specific you are. "A candle on a table" gives you a candle nobody sells. "A frosted glass candle jar with a matte cream label, on bleached oak, soft window light from the left" gives you an ad.

There are two routes into the AI photo generator, and the photo tool itself opens on whichever model you pick:

1. Text to image. You describe the product and the scene. Best for concepts, backgrounds, lifestyle context and anything you do not own yet.
2. Image to image. You upload a photo of the real product in the reference dropzone and describe the new scene around it. This is the route that matters commercially, because the shape, the color and the label come from your photo instead of from the model's imagination.

Both routes make one to four images per run, and the aspect chips put 9:16 first.

Three models are available. For product work the deciding question is whether your real product has to appear.

The verdict for product photography: start on Nano Banana 2. Fourteen reference images is the difference between a photo of a bottle and a photo of your bottle. Upload the packshot, the label and the cap, then describe the scene. Move to GPT Image 2.5 when the label has to be legible at thumbnail size, and drop to Z-Image for the backdrop alone.

Full model breakdowns live on the Nano Banana 2, GPT Image 2.5 and Z-Image pages.

A usable product prompt has five parts. Leave one out and the model fills it in for you, usually badly.

Two habits pay for themselves. First, name the shadow. "Soft falloff shadow to the right" does more for realism than any adjective. Second, reserve space: say "negative space on the left for text" so your headline does not land on the cap.

Nano Banana 2 and GPT Image 2.5 accept 4,000 characters, so there is room for all five parts. Z-Image stops at 900 and rejects anything longer. The prompt box counts characters against whichever ceiling applies.

Written for Nano Banana 2 at 1K. Swap the product for yours and keep the structure.

1. The clean hero shot "A matte black steel water bottle on a plain white studio backdrop, one large softbox upper left, soft falloff shadow to the right, a thin reflection under the base, 9:16." Why: naming the light source and the shadow direction kills the flat, pasted-on look.

2. Hard light on stone "An amber glass serum dropper on cracked white marble, hard midday sun from the right, crisp shadow edges, a eucalyptus sprig throwing its shadow across the label, shallow focus, 9:16." Why: hard light plus a leaf shadow is the cheapest way to make a shot read as real.

3. Overhead flat lay "Overhead flat lay of an opened kraft coffee box, three sealed bean bags, a brass scoop and scattered beans on warm oak, soft window light from the top, 4:5, negative space on the left." Why: reserving one side means your ad headline never lands on the product.

4. Outdoor lifestyle "A navy running shoe on wet asphalt at dawn, puddle reflection under the sole, cold blue light with one warm streetlight behind, faint steam, shot at ankle height with a 35mm look, 9:16." Why: camera height and focal length steer perspective better than the word "professional".

5. Macro texture "Extreme macro of a pressed mineral blush compact, powder catching raking light from the left, visible pigment grain and dust, shallow focus with the debossed lid text sharp, dark grey ground, 1:1." Why: name the one element that must be sharp, or focus spreads across the whole frame.

6. The range lineup "Three identical supplement tubs in cream, sage and terracotta in a row on a pale sand ledge, even soft light, low angle so the lids read, long soft shadows to the right, 16:9." Why: naming each color in order keeps the range consistent instead of repeating one tub.

7. Product in hand "A hand with short unpainted nails holding a frosted glass candle jar at chest height, warm indoor light, a blurred living room behind, the jar in the upper third, natural skin texture, 9:16." Why: describe the hand, not just "a hand". Nails, skin and height are where hands fail.

8. Floating with a contact shadow "A tan leather cardholder floating against a deep green gradient, angled thirty degrees, soft top light, a small soft contact shadow below it on an invisible surface, subtle rim light on the top edge, 4:5." Why: the contact shadow is the only thing stopping a floating object looking like a cutout.

Say this out loud before you plan a catalog around it.

• No background removal as a feature. No cutout tool, no transparent PNG export, no one-click white background on an uploaded photo. You can describe a plain white studio scene and generate into it, which is a different thing.
• No brand font control. You cannot load a typeface. Lettering in the image is the model's interpretation of a shape, not your font file.
• No exact color matching. There is no hex input, so a brand that lives on one specific red will drift. Treat generated color as a mood, not a spec.
• No guarantee a logo or label renders correctly. Models approximate text. The word on your jar can come back misspelled or half-formed, at any resolution.

So build the check into your process: read every word in the image at full size and regenerate when it is wrong. Two or three attempts on a label-heavy shot is normal, about 40 to 60 cents on the $49.99 plan. If the label must be exact, composite your real packshot on top in any editor.

There is no upload, scheduling or analytics here either. You download the image and take it wherever you post.

Five destinations cover almost everything people generate on this site.

Paid social creative. Generate four variants of one scene, run them against each other, keep the one with the cheapest click. The UGC photo generator covers the deliberately unpolished version of the same job.

Thumbnails and covers. A 9:16 still under a hook line is the first frame of a short. Bring your own text on top.

Slideshow frames. The AI slideshow generator builds TikTok photo-mode posts and Instagram carousels, 5 to 10 slides at 1080x1920. Stills generated here work as the hero slide and the payoff slide.

Creator and product-in-hand shots. The AI influencer generator makes a persona, then a product-in-hand still of that persona holding your item.

Store listings. Square and 4:5 crops for a product grid, 16:9 for a header. The Shopify product photo guide covers which listing images you can generate and which you should still shoot, and the guide to making UGC ads with AI covers the paid side.

A credit is about $0.10 on the $49.99 plan with 500 credits, and about $0.067 on the $199.99 plan with 3,000 credits.

The practical pattern: draft on Z-Image at 1 credit until the composition is right, then re-run the winning prompt on Nano Banana 2 with your reference photos attached. You spend 4 or 5 credits finding the scene instead of 12.

1K is enough for a feed post. 2K earns its extra credit when the image gets cropped in hard or printed small. 4K is for a banner. Plans are on the pricing page.