Drop a product photo, choose a model and scene, and render marketplace-ready shots in 30 seconds. Built for fashion, beauty, electronics, food, and home brands shipping fast on Amazon, Shopify, TikTok Shop, Etsy, Instagram and Pinterest. No studio, no model casting, no four-week reshoots.
Generation time varies by model, settings and queue load. No fixed completion time is guaranteed.
Upload a clean shot of your product — phone photo on a plain background works fine. Optionally drop a model selfie or reference if you want to preserve a specific face for brand continuity. Otherwise pick from preset model types: female, male, diverse, mature, youth, hands-only, or no-model.
Choose an available model and review its supported settings and credit quote before generating.
Choose an available model and review its supported settings and credit quote before generating.
Download in the exact spec each marketplace expects — Amazon 2000×2000, Shopify 2048×2560, Instagram 1080, TikTok 1080×1920. Output includes commercial license. Drop straight into your listing, ad creative, or social calendar.
From DTC apparel founders to multi-brand beauty teams, the workflow is the same: upload, direct, render, ship. Below are the six categories where teams replace traditional product photography most often.
Show your shirt, dress, jacket or bag on a diverse range of bodies, ages and skin tones — without booking a model agency or rebooking the studio. Generate the same product on three model types in parallel for inclusive listings, or rerender the season's drop with one prompt change. Works with garment flat-lays or hanger shots; the model is composited around the product, not the other way around.
Drop the bottle, jar or tube. The model holds, applies, or demonstrates the product while packaging text, label colors and bottle shape stay pixel-faithful. Generate hero shots for Amazon, in-application close-ups for Instagram Reels, and lifestyle vignettes for Pinterest — all from one product photo.
Headphones on a model in a Tokyo café. A smartwatch on a wrist mid-run. A speaker on a beach picnic. Show the product being used in plausible contexts without flying a creator out, paying for location, or chasing magic-hour light. Brand-safe diversity built in.
A canned cocktail on a beach. A protein bar in a hand mid-trail-run. A coffee bag styled on a marble counter at golden hour. Generate the lifestyle and editorial shots that make F&B brands feel premium, without booking a food stylist for every variant. Pair with the Hands-Only model type for ingredient-forward close-ups.
A candle on the right console. A throw on a real-looking sofa. A planter in a sunlit corner. Buyers convert when they can see the product in their own room — generate that context on demand for each new SKU, in five room styles, without ever shooting in a real apartment.
New brand, no studio budget, eight SKUs. Generate hero shots, lifestyle context, social variants and ad creatives for the entire range in one Saturday — then iterate the visuals weekly based on what's converting, without scheduling another shoot.
Model availability, supported outputs and credit quotes are listed below.
Practical, tested advice for getting product-true, conversion-ready shots — not generic AI mannequin slop.
The model only preserves what it can see clearly. Use a sharp, well-lit, plain-background photo of your product as the upload. Cluttered backgrounds, harsh shadows or motion blur on the source will degrade every variant downstream. A 30-second iPhone reshoot of the product on white paper beats a moody studio file every time.
Vague prompts like "show the product" produce generic results. Tell it exactly what to do: "model holds the jar at chest height, looking down at it, soft smile, daylight from the left." The Pose preset gets you 80% of the way; the prompt closes the last 20%.
Beauty buyers expect bathroom or vanity context. Outdoor gear belongs in actual outdoors, not Studio. Apparel converts better in Lifestyle than on white. Pick the scene that matches the moment your buyer pictures using the product — not the moment that looks most "premium" to the founder.
Run the same product through Female, Male, Diverse, Mature, and Youth model types — same prompt, same scene, four variants each. You get an inclusive listing in one session instead of a six-month casting roadmap. Buyers convert higher when they see someone who looks like them.
Amazon needs 2000×2000 pure square. Shopify defaults to 4:5 portrait. TikTok is 9:16. Pinterest is 2:3. Render to the spec the platform actually displays — anything else gets cropped, scaled or rejected. The Platform selector handles this automatically; resist the urge to render "biggest possible" and crop later.
Look for: extra fingers, melted jewelry, packaging text that drifted, asymmetric earrings, unnatural shadows. These are the giveaways that tank trust on a product page. Render four variants, pick the cleanest, re-render the rest. A single uncanny shot in a listing erodes the credibility of the rest.
Everything you need to know about generating AI product avatars on ZNIX.ai.
Choose an available model and review its supported settings and credit quote before generating.
No subscription · Trial pack from $3 · Commercial license included
| Model | Variant | Aspect ratios | Resolution | Output variations | Credits / image or clip |
|---|---|---|---|---|---|
| Gemini 3 Pro Image | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4 | 1K | 1 | 89 |
| Gemini 3 Pro Image SSVIP | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4 | 1K | 1 | 223 |
| Gemini 3 Pro Image SSVIP | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4 | 2K | 1 | 223 |
| Gemini 3 Pro Image SSVIP | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4 | 4K | 1 | 398 |
| Nano Banana 2 | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4, 1:4, 4:1, 1:8, 8:1 | 1K | 1 | 41 |
| Nano Banana 2 | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4, 1:4, 4:1, 1:8, 8:1 | 2K | 1 | 41 |
| Nano Banana 2 | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9, 5:4, 1:4, 4:1, 1:8, 8:1 | 4K | 1 | 64 |
| GPT Image 1.5 | — | 1:1, 3:2, 2:3 | 1K | 1 | 39 |
| Qwen Image 2.0 | — | 1:1, 16:9, 9:16, 4:3, 3:4 | 1K | 1 | 36 |
| Qwen Image 2.0 | — | 1:1, 16:9, 9:16, 4:3, 3:4 | 2K | 1 | 36 |
| Seedream 5.0 Pro | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 1K | 1 | 69 |
| Wan2.7 Image | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 1K | 1 | 46 |
| Wan2.7 Image | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 2K | 1 | 46 |
| Wan 2.7 Image Pro | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 1K | 1 | 114 |
| Wan 2.7 Image Pro | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 2K | 1 | 114 |
| Wan 2.7 Image Pro | — | 1:1, 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 4:5, 21:9 | 4K | 1 | 114 |