PackScene - AI on-model photos for Shopify

Turn flat-lay packshots into on-model photos

You have thirty new t-shirts photographed flat on a table and no budget for a model day. PackScene takes those photos off your Shopify products, puts each garment on a generated model, and sends the ones you approve back to the product page.

It works on clothing and anything else worn on a body. Furniture and kitchenware have nothing to go on, so this is the wrong app for those.

4 free images to tryApparel and worn accessoriesFailed generations refundedPublishes to your product page

Install on Shopify See real before and after

Packshot

Generated

Watch a demo

A run from product pick to published image

Watch a run go from the product picker to a published image.

How it works

From packshot to published image in three steps

Pick the products and the packshot

PackScene reads the photos already sitting on your Shopify products. Click the flat lay you want used as the front, and a second one if the back of the garment is worth showing. There is nothing to upload.

Set the run

Choose a male or female model, then tick which framings you want. The picture shape is set once for the whole run. Nothing is locked in until you press Generate.

Approve, then publish

Every image lands in a review screen first. Regenerate the ones that missed and delete what you do not want. The keepers go to the product media in one click.

The longer walkthrough, with the failure cases at each step, is in how to turn packshots into AI model photos.

Real output

Four garments, packshot and generated, front and back

These are unretouched PackScene results. Look closely at the tone-on-tone prints on the two tees, which soften in the generated version. Judge output at full size, never as thumbnails.

Light blue cotton tee with a tone-on-tone print, flat-lay front packshot

Packshot front

Generated front

Light blue cotton tee with a tone-on-tone print, flat-lay back packshot

Packshot back

Generated back

Light blue cotton tee with a tone-on-tone print

Two credits: one front, one back.

Dusty rose tee with a script print, flat-lay front packshot

Packshot front

Generated front

Dusty rose tee with a script print, flat-lay back packshot

Packshot back

Generated back

Dusty rose tee with a script print

Two credits: one front, one back.

Navy mock-neck knit, flat-lay front packshot

Packshot front

Generated front

Navy mock-neck knit, flat-lay back packshot

Packshot back

Generated back

Navy mock-neck knit

Two credits: one front, one back.

Hooded parka in taupe, flat-lay front packshot

Packshot front

Generated front

Hooded parka in taupe, flat-lay back packshot

Packshot back

Generated back

Hooded parka in taupe

Two credits: one front, one back.

Fit

What PackScene is good at, and what it is not

An on-model generator can only place a product on a body, so your catalogue decides most of the answer before the app does. Here is the sorting, as plainly as we can put it.

Works well

T-shirts, hoodies, knitwear, shirts and jackets
Dresses, jumpsuits, coats, trousers and skirts
Swimwear, activewear and sleepwear
Accessories that are worn on the body

Check before you commit a season

Fine knits and lace lose their structure and come back smoothed out
Placement prints and logos drift off centre
Colour-critical ranges shift a shade, which matters if you sell six near-identical navies
Structured pieces shot flat can come back slimmer than the real garment

Wrong app

Furniture, kitchenware, tools and electronics
Anything with no body to be placed on
Packshots that are crops, screenshots or under roughly 512 pixels a side
Shoots that need a named model or a branded location

The garment-by-garment version, including which framing suits which piece, is in AI product photos for apparel and clothing brands. If you are new to the category, what AI product photography is and what to disclose covers the ground rules.

Before you press Generate

The choices you actually make

Five settings, and that is the whole setup screen. The background is fixed rather than chosen. That is deliberate, because one grey studio across every image is what makes a collection look like it was shot in a day.

A male or female model
Full body, upper body or lower body framing, and you can tick more than one
Square, 3:4 or 2:3 picture shape, chosen once for the run
The same clean grey studio background on every image
All of it free to change right up until you press Generate

Feature illustration

Front and back

The back view, when the back is worth showing

The back is generated from the finished front image, so the model and the styling carry across the pair. It only knows what you show it. A print or a vent on the reverse needs its own back packshot.

Choose a back packshot and you get a matching back view
The back is drawn from the finished front image, so the model and styling carry across the pair
A vent, an open back or a print on the reverse only shows up if you give it a back packshot
Plain-backed tees do not need one, and skipping it saves a credit
Front plus back costs two credits

Feature illustration

Whole drops

Queue the collection, not the product

Model identity holds inside a single run and does not carry across separate ones. Build a collection product by product over a week and it comes back as a grid of different people wearing your clothes. Queue the same thirty pieces together and they share a face, a background and a light.

Queue a whole drop as one run instead of going product by product
Combine full body, upper body and lower body in the same run
Watch each product finish as the run goes
Review the whole run in one grid when it lands
Failed generations go back to your credit balance on their own

Feature illustration

Finding products

Filters that match how catalogues are actually organised

Eight filters and six sort keys, all running against the Shopify API rather than in the browser. A long catalogue loads a page at a time instead of all at once. Useful when the run you want is one vendor, one tag, in stock, and nothing else.

Filter by vendor, tag, product type, SKU, stock, inventory count, image count or status
Type to search inside the vendor, tag and product type lists
Sort by title, created date, updated date, inventory, product type or vendor
Filters and sorting run against the Shopify API, so the list loads a page at a time
Pick the products for the run from the same screen

Feature illustration

Review

Nothing reaches your storefront until you say so

Every image lands in a review screen first. Regenerations come out of their own monthly allowance rather than your image credits. Tidying up a run does not eat the budget for the next one.

Open any image full size and step through the run with the arrow keys
Regenerate one image without touching the rest
Type what you want changed, like "arms crossed", and regenerate on that
Download any image as a JPEG
Delete the ones you do not want, and nothing reaches the storefront until you publish

Feature illustration

Publish

Straight onto the product page

Approved images are added to the product's media in Shopify. Every image is run through an upscaler before it reaches your review screen. It arrives as a JPEG you can download from the library as well as publish.

Send approved images to the product media in Shopify
Choose whether they land before or after the photos already there
Tick a box to tag published products "PackScene" so you can find them later
Alt text and file names are written from the product title
Your packshots stay where they are, and undoing means deleting the new image in your admin

Feature illustration

Pricing

One credit, one finished image

Credits are spent per image, not per product, so the maths is easy to do in advance.

Front only, one framing: 1 credit
Front and back: 2 credits
Each extra framing on the same garment: 1 more credit

A thirty-piece drop shot front and back lands at sixty credits. That sits inside the $39 plan with room left for redos.

Free

$0one time

Four images to see whether it suits your product.

4 image credits, one time
Every generation feature
Email support

Install free

Starter

$9/month

A small drop or a slow catalogue.

45 image credits a month
5 regeneration credits a month
Around $0.20 per credit

Get started

PackScene FAQ

The questions merchants ask before installing.

What kinds of products does PackScene work on?

Things worn on a body: clothing, swimwear, activewear, sleepwear and accessories. Hard goods do not work, because furniture, kitchenware and tools have nothing to be placed on. Fine knits, lace and placement prints sit in between, so put ten of your trickiest pieces through before committing a season.

Do I need to upload my photos?

No. PackScene reads the images already on your Shopify products, and you click the one to use as the front packshot. Flat lays and ghost mannequin shots both work, though JPEG and PNG are reliable where HEIC, SVG and oddly saved WebP can fail outright.

How do credits work?

One credit buys one finished image, so a garment shot front and back costs two. A thirty-piece drop shot front and back lands at sixty credits. Paid plans reset monthly without rolling over, and the four free credits are one time rather than monthly.

What happens when an image comes back wrong?

A generation that fails outright is refunded to your balance automatically, so you never pay for an image you did not receive. An image that arrives but is not good enough has already cost its credit, and you redo it with a regeneration credit. Those are a separate monthly allowance on the paid plans, and the free plan has none.

Can I use the images in ads and on social?

Nothing in the app limits where they go, and you can download every image as a JPEG as well as publish it to the product. We do not issue a separate image licence, and generation runs through a third-party provider, fal.ai, so read their terms before building a large paid campaign on it. Some markets also expect you to say when a model image is AI-generated, so check what applies where you sell.

How do the images get onto my product page?

You approve them in the review screen and press publish, and they are added to that product's media in Shopify. You choose whether they go before or after the photos already there, and a checkbox tags the published products "PackScene" so you can find them again. Your original packshots are untouched, so undoing it means deleting the new image from the product in your Shopify admin.

Will my whole collection look like one shoot?

It will if you generate it as one run. Model identity holds inside a single run and does not carry across separate ones, so a collection built product by product over a week comes back as a grid of different people wearing your clothes. Queue the drop together, and keep the same framing and picture shape across it.

Can I publish some now and the rest later?

Yes. Generated images stay in your library, and a run that you have not published stays open in the runs list, so you can come back and publish the rest whenever you want. Nothing goes to the storefront on its own.

How is this different from Botika?

Both turn packshots into on-model photos and publish to Shopify. PackScene starts free with four images and runs $9 to $99 a month, while Botika starts around $33, has the longer track record, and also does AI video, which PackScene does not. Results vary by garment, so the honest way to choose is to run your own photos through both.

Put four of your own packshots through it

Pick your two best sellers and your two most awkward pieces. Four credits is enough to tell you whether this suits your catalogue, and it costs nothing to find out.

Install on Shopify

Four free images, one time.

Learn more

How to turn packshots into AI model photos

The full flow from picking products to publishing, with what goes wrong at each step.

AI product photos for apparel and clothing brands

Which framing suits which garment, and which pieces AI struggles with.

PackScene compared with Botika

Price, free plan and AI video, side by side.

PackScene documentation

Nine guides covering packshots, generation, review, publishing and credits.

What AI product photography is

Where it works, where it fails, and what to disclose.