Guides

ChatGPT Images 2.0 in Studio: What It Means for Ecommerce Creative Work

A practical guide to using OpenAI GPT Image 2, also known as ChatGPT Images 2.0, inside Omniops Studio for ecommerce images and campaign assets.

Omniops TeamAI Engineering Team12 June 20265 min read

OpenAI's new image model is available in Studio as GPT Image 2. OpenAI also talks about the product release as ChatGPT Images 2.0, so you may see both names. For the API, the model name is gpt-image-2.

For ecommerce teams, the useful part is simple: Studio can now use OpenAI's latest image generation model alongside the existing image options. You can write a prompt, choose an aspect ratio, pick a quality setting, and generate campaign-ready image ideas from inside the same place you use for brand and creative work.

Studio also includes a campaign-pack workflow. Instead of asking for one generic variation, you can start from a product or reference image, choose an editorial direction, choose where the shot should feel like it was taken, and generate a full set of channel-specific campaign assets.

Why this matters for ecommerce

Most small ecommerce teams do not have a full creative department. Product images, social posts, sale banners, email visuals, marketplace images, and website hero graphics all compete for the same limited time.

Image models do not remove the need for taste or review, but they do shorten the blank-page stage. You can quickly test visual directions before spending time on final production.

Good uses include:

  • Website hero image directions
  • Product lifestyle scenes
  • Social media variations
  • Story and reel images
  • Email banner ideas
  • Paid ad creative
  • Editorial product detail shots

The strongest workflow is not "generate once and publish". It is "generate options, pick a direction, refine, review, then publish".

Campaign packs, not generic variations

A useful image model workflow needs art direction. The Studio campaign-pack composer gives you three decisions before generation:

  • The editorial direction, such as premium minimal, warm lifestyle, bold retail, documentary, or luxury editorial
  • The shoot location, such as clean studio, home interior, urban setting, workplace, natural light, or a custom location
  • The shots to include in the pack

The default pack creates seven assets: website hero, product detail lifestyle, social square, story or reel, email banner, paid ad, and editorial detail. Each asset gets its own aspect ratio and prompt structure.

This matters because the best ecommerce campaign images are not just resized copies of the same picture. A hero image needs copy space. A product detail image needs inspection clarity. A story image needs a vertical crop. An ad image needs instant recognition at small size.

How GPT Image 2 works in Studio

Studio uses the official OpenAI image API model, gpt-image-2. In the Studio model selector, it appears as GPT 2 to keep the control compact.

You can use it in two ways:

  1. Text to image - write a prompt and generate a new image.
  2. Reference image generation - connect an existing image to a prompt node, then ask Studio to create a new image using that reference.

Reference images are useful when you want the generated result to follow an existing visual direction, product angle, layout, or mood.

Choosing size and quality

Studio keeps the controls simple:

  • 1K for fast drafts.
  • 2K for polished web, social, and campaign-pack drafts.
  • 4K for selected final reruns.

Behind the scenes, GPT Image 2 maps those choices to OpenAI's image quality settings: low, medium, and high. Studio also chooses image dimensions that match your selected aspect ratio.

For example, a 16:9 2K image uses a landscape output size, while a 9:16 image uses a portrait output size for stories and reels.

OpenAI's current pricing is token-based, so exact cost depends on the request. As a practical Studio estimate, a default 7-image 2K campaign pack is roughly $0.29-$0.37 in output cost, plus text and reference-image input tokens. High-quality 4K reruns cost more, so it is better to rerun selected winners rather than every draft.

Prompting tips

Be specific about the job the image needs to do.

Instead of:

make a product image

Try:

create a clean ecommerce hero image for a new product launch, soft studio lighting, realistic materials, room for headline text on the left, premium but not flashy

Useful prompt details include:

  • The asset type: hero, email banner, product lifestyle image, social post
  • The subject: what should be in the image
  • The composition: close-up, flat lay, room for text, centred product
  • The mood: calm, bright, premium, practical, playful
  • What to avoid: clutter, fake text, distorted packaging, busy backgrounds

What still needs human review

AI images are not guaranteed final artwork. Before publishing, check:

  • Text inside the image
  • Product shape, details, and packaging
  • Legal or promotional claims
  • Brand consistency
  • Accessibility and contrast
  • Whether the visual honestly represents the product

OpenAI also applies safety moderation. If a prompt or reference image is blocked, rewrite it more clearly and remove unsafe or ambiguous wording.

Setup for developers

Studio reads the OpenAI key from the server environment:

OPENAI_API_KEY=...

The API key should never be pasted into code, public docs, or prompts. For implementation details, see the official OpenAI image generation guide, the GPT Image 2 model page, and OpenAI's ChatGPT Images 2.0 announcement.

The practical takeaway

GPT Image 2 gives Studio another high-quality creative engine. The best results come from clear prompts, useful reference images, and a human review step before publishing. Used that way, it helps ecommerce teams move from idea to usable creative direction much faster.

chatgpt-imagesgpt-image-2ecommercecreative-studioai-images

Ready to stop answering the same questions?

30-day no-contract trial. £250/month for the first 10 founding places, then £500. Setup in about a week.

See pricing