Rawshot Academy

How to Upload Products to Rawshot AI

Product InventoryVideo lesson included

How to Upload Your Garments to RAWSHOT AI A quick walkthrough for getting your real garments into RAWSHOT AI so you can start directing on-model shoots in minutes — through a click-driven interface with zero prompting. Upload a flat-lay, a product photo, a mockup, or a technical sketch. RAWSHOT is engineered to represent your garment faithfully — cut, colour, pattern, logo, fabric, drape. The garment is the brief. What you'll learn: → Supported file formats and image requirements → Single uploads vs. bulk imports (file or API) → How to prepare your inputs for true-to-life results → Organising your product library → Common mistakes to avoid Pro tip: The quality of your input directly affects fidelity. I'll show you what works best so cut, colour, pattern, and drape come through exactly as designed. Built for indie designers, DTC brands, on-demand labels, kidswear and intimate apparel, marketplaces, and enterprise retailers alike. One image or ten thousand, via GUI or API. Honest by design: - Synthetic composite models — no real-person likeness - Every image C2PA-signed, watermarked, and AI-labelled - EU AI Act Article 50 compliant. California SB 942 compliant. - Full commercial rights. Roughly $0.50 per image. Tokens never expire. No prompts. No studio. No samples. No gatekeeping. Get started: https://rawshot.ai/ #RAWSHOTai #FashionPhotography #FashionEcommerce #ProductPhotography #SyntheticModels #EcommerceTips

Upload products the right way

To get the best possible results in Rawshot AI, start with clean, clear product images. The product upload gives the model visual information about cut, color, pattern, logo, fabric, proportions, and scale. Better input leads to more accurate output.

Where to upload a product

You can drag and drop an image from the dashboard for a quick start, but the best workflow is to open Products and click New Product. There you can upload up to four reference images:

Core rule: match the input view to the output view

Use front images for front results and back images for back results. If you want to generate the back of a garment, upload the back as the main reference. If you want to generate the front, upload the front as the main reference.

This is especially important when the front and back have different prints, logos, embroidery, patches, or construction details. Splitting them into separate products reduces mix-ups and gives Rawshot a clearer brief.

When one product is enough

If the back is plain and the important information is only on the front, one product is usually enough. For example, if a hoodie has a logo on the front and a simple plain back, you can upload the front as the primary view and use an extra angle for additional context if needed.

If both sides contain meaningful design elements, separate uploads are safer. This helps avoid situations where front details appear on the back or back details appear on the front.

How to use primary view and extra angles

The primary view should show the full product in the exact orientation you want to generate. This is the most important image in the upload.

Use extra angle left and extra angle right when the product has details that are not fully visible in the primary image. Examples include side patches, angled pockets, hardware, side branding, or construction details that need more context.

How to use scale reference

The scale reference is especially useful for jewelry and other size-sensitive products. It gives Rawshot additional context about the real-world dimensions of the item.

For jewelry and size-sensitive products, include a contextual reference such as an on-body shot, hand-held shot, or mannequin view so the AI can infer realistic scale.

This is particularly helpful for earrings, necklaces, rings, bracelets, and products with unusual sizing or fit. A clean context shot helps Rawshot understand whether the item is small, oversized, long, short, chunky, or delicate.

Best practices for product uploads

Follow these rules to help Rawshot create the best possible images.

Best practices for jewelry uploads

Jewelry needs extra care because scale is harder to read from a standalone product image. A close-up of a pendant or earring may show detail well, but it may not show real-world size clearly enough.

For the best results, use a full product image as the primary view and add a scale reference that shows the item worn or held. This gives Rawshot both detail and proportion.

For necklaces, show the full chain and pendant in the main image whenever possible. A pendant close-up alone may not provide enough sizing information. For earrings, a hand-held or worn reference often improves scale accuracy significantly.

What to avoid

These upload mistakes usually lead to weaker outputs:

Recommended upload workflow

Use this simple workflow before you generate:

1. Open Products and click New Product.
2. Choose the main view you want to generate, usually front or back.
3. Upload a clean, high-resolution full-product image as the primary view.
4. Add extra angles only if they reveal useful details.
5. Add a scale reference for jewelry or products with special sizing.
6. If front and back are meaningfully different, create separate products.
7. Generate using the product that matches your desired output view.

Quick summary

For the best possible Rawshot results, keep uploads clean, sharp, and easy to understand. Match input view to output view, show the full product in the primary image, avoid clutter and visible faces, and use scale references for jewelry and other size-sensitive items. The clearer your upload, the better Rawshot can preserve the garment and generate accurate studio-quality imagery.

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