AI Photography for Fashion Brands That Ship Every Week
Fashion catalogue maths start at 7 images per SKU: 25 SKUs is 175 images and 2,100 credits, since every image costs 12 credits. The same garment then needs a pure white main image for Amazon.in at least 1,001 px with the product filling 85%, and a light grey one for Flipkart and Myntra apparel, where white is explicitly rejected.
Last updated:
Key facts
- One image costs 12 credits, so a 7-image listing set is 84 credits and QA verification adds 12 more credits per image verified.
- 25 SKUs at 7 images each is 175 images, which is 2,100 credits, and that fits inside the 2,857 credits of the ₹9,999 Business pack.
- Per-image cost falls as the pack grows: ₹67.86 on the ₹475 Starter pack, ₹55.50 on ₹999 Growth, ₹48.37 on ₹2,999 Pro, ₹42.01 on ₹9,999 Business and ₹37.82 on ₹24,999 Agency.
- Apparel background is the sharpest split: Amazon.in requires pure white RGB 255,255,255 at #FFFFFF, while Flipkart states that for apparel a light grey background with a soft shadow is required and white will not be accepted.
- Amazon.in also requires at least 1,001 px on the longest side with the product occupying at least 85% of the image area, and Amazon warns that a failure could result in the suspension of your seller account.
- Myntra, from Fynd's integration documentation, asks for 1080 x 1440 px or more, 72 dpi or more, a 3:4 aspect ratio and a 500 KB–1 MB JPEG, with front, side and back mandatory.
Real output from Fluxx.work
Generated from a single uploaded product photo — Fashion & apparel

See more examples in the Fluxx.work gallery
Why fashion is the hardest category to get right
Fabric drape, print placement, stitching detail, and true-to-life color are all things a fashion shopper actively checks before buying — more so than almost any other product category. Generic AI photography tools that just paste a product onto a new background don't hold up here, because the garment itself needs to look and move like real fabric, not a flat texture.
Scaling a collection, not just a hero shot
A collection drop might mean 20-40 SKUs across several colorways, each needing a consistent shoot style. Fluxx.work generates the full range from each item's own source photo while keeping model, pose, lighting, and background consistent across the collection — so the storefront reads as one cohesive drop, not a patchwork of shoots.
| Requirement | Amazon.in (official) | Flipkart apparel (secondary) | Myntra apparel (secondary) |
|---|---|---|---|
| Minimum size | At least 1,001 px on the longest side | At least 1000 x 1000 px | 1080 x 1440 px or more at 3:4 |
| Background | Pure white, RGB 255,255,255 / #FFFFFF | Light grey with a soft shadow; white will not be accepted | Light grey with a soft shadow; white will not be accepted |
| Product fill | At least 85% of the image area | Not stated in the available documentation | Not stated in the available documentation |
| Format | JPEG, TIFF, PNG or non-animated GIF at 72 dpi minimum | JPEG only | JPEG only, 500 KB–1 MB |
| Images per listing | Not stated; at least 6 additional images plus 1 video recommended | Minimum 2, 3 preferred | Front, side and back mandatory; maximum not stated |
| Mannequins | Not allowed in the main image | Not allowed | Front, side and back views required per listing |
| Source status | Amazon seller help pages | Fynd integration documentation | Fynd integration documentation |
Benefits
Fabric texture and print detail preserved, not flattened
Consistent model, pose, and lighting across a full collection
Same-day turnaround instead of a multi-day studio booking cycle
Scales evenly whether it's 5 SKUs or 50
How It Works
1
Upload garment photos for the collection.
2
Set one model/style preset for the whole drop.
3
Generate consistent imagery across every SKU and colorway.
Best Practices
- check_circleLock one model/pose/lighting preset per collection before generating the full range
- check_circlePrioritize on-model shots for hero pieces, flat-lay for catalog breadth
- check_circleRegenerate imagery each season rather than reusing aged photography styles
Common Mistakes
- cancelUsing generic AI photography tools not built for fabric drape and texture
- cancelShooting each drop with a different model/style, breaking storefront consistency
- cancelUnder-investing in photography for lower-priced SKUs, creating a visually inconsistent catalog
Case Study
Men's fashion brand, Delhi
Consistent catalog imagery across colorways without booking a new shoot per drop.
“I was worried the product would look different across images. The identity lock is real — colours, logo, everything stays pixel-perfect.”
Trusted by 1,200+ businesses worldwide
“We used to book a studio every quarter. Now one product photo gives us the hero, lifestyle and detail shots in a single pass, and the catalogue finally looks like one brand instead of six separate shoots.”
Marcus T.
Founder, Home Goods Brand · Austin, TX
“The garment is genuinely the same in every frame — colour, print and trims all hold. That was the part I did not believe until we ran our own SKUs through it.”
Dana R.
Head of Ecommerce, Activewear · Brooklyn, NY
“Glass and reflections are where most tools fall apart. Ours come out clean, so we can photograph a new scent the week it launches instead of waiting on a studio slot.”
Layla A.
Founder, Fragrance Brand · Dubai, UAE
“Metal finish and stone detail survive a zoom now, which is what our listings actually needed. We stopped reshooting pieces that came back soft.”
Omar S.
Marketing Director, Jewellery · Abu Dhabi, UAE
“The textures and lighting are so realistic that customers tell us they can almost feel the product. We reshoot far less than we used to.”
Sneha P.
Founder, Coffee Brand · Coorg, India
“The AI-contextual backgrounds just work. It reads the product and picks the right aesthetic. We've stopped paying for stock photo subscriptions.”
Priya S.
Founder, Skincare Brand · Mumbai, India
Frequently Asked Questions
Do I need a white and a light grey main image for the same garment?
Yes, if you sell apparel on Amazon.in as well as Flipkart or Myntra. Amazon.in requires pure white at RGB 255,255,255 while Flipkart and Myntra both state that for apparel a light grey background with a soft shadow is required and white will not be accepted, so one SKU needs 2 main images.
How many credits does a 25-SKU fashion catalogue consume?
25 SKUs at 7 images each is 175 images, and at 12 credits an image that is 2,100 credits, which fits inside the 2,857 credits of the ₹9,999 Business pack and leaves 757 credits spare for extra variants.
What aspect ratio and file size does Myntra accept for apparel?
Myntra asks for 1080 x 1440 px or more at 72 dpi or more, a 3:4 aspect ratio, a JPEG file between 500 KB and 1 MB, and front, side and back shots. These figures come from Fynd's integration documentation, a secondary source.
How much does a fashion image cost at 500 images a season?
At 12 credits an image, 500 images is 6,000 credits, which is ₹37.82 an image on the ₹24,999 Agency pack. The same image costs ₹67.86 on the ₹475 Starter pack, so pack size moves the per-image rate by ₹30.04.
Why Fluxx.work
Fashion brands need texture and fit accuracy, not just a swapped background — Fluxx.work is built to hold up to that scrutiny at collection scale.