Flux ArtYes. GPT Image 2 isn't limited to "text in, image out" — it also supports inpainting (select a region and regenerate just that part) and multi-image reference (upload reference images for blending or style continuity). That means when a result isn't quite right, you don't have to redo the whole image — just fix the part that's off. You can also upload an existing image and edit it. With support for up to 14 reference images, even complex edits are within reach. In China, all of these editing features are available through Flux Art, an all-in-one model aggregation platform. Here's how to use them.
I'm a retoucher, and editing capability matters more to me than one-shot generation — in real work, ninety percent of my time goes into fixing, not generating. Whether a model can precisely edit a local area, and whether it can edit an existing image, decides whether it makes it into a professional workflow at all.
A concrete example: a finished hero image had the promo text garbled, with characters running together. I didn't regenerate the whole thing — I selected just those two characters and ran one inpainting pass. Swapping backgrounds to try a new scene works the same way: switch in a new reference image and re-blend, without touching the subject I was already happy with. When ninety percent of your time goes into fixing, knowing how to use inpainting changes your efficiency completely.
Image: The Flux Art AI image workspace — upload reference images, pick a model, and generate (source: flux-art.ai and flux-art.cn)
The Two Core Editing Capabilities
| Capability | What it does | Typical uses |
|---|---|---|
| Inpainting | Regenerate only a selected region | Fix hands, correct text, remove flaws |
| Multi-image reference | Upload multiple images for blending / style continuity | Place products into scenes, keep consistency |
How to Use Inpainting
- Generate or upload an image: start with a base image (generated or uploaded).
- Select the problem area: outline what needs fixing — garbled text, a distorted hand, a stray background object.
- Describe the change: spell out what that area should become.
- Regenerate just that region: only the selected area is redrawn, everything else stays put — fast and cheap.
Inpainting is the key step that takes an AI image from "almost" to "deliverable." A single generation is rarely perfect, and once you know how to inpaint, your keeper rate and turnaround improve immediately — no more scrapping the whole image and starting over.
How to Use Multi-Image Reference
Upload multiple reference images so GPT Image 2 understands the subject, scene, or style you want before it generates:
- Product-in-scene: upload a product photo plus a scene image, and the product is placed naturally into the scene.
- Style continuity: upload a style reference so new images carry the same look and tone.
- Consistency: use multiple reference images to keep the subject and style consistent — ideal for image series.
Support for up to 14 reference images makes complex blending and tight consistency control possible.
How Much Rework Strong Editing Saves
For professional image production, editing capability means: garbled text on a hero image doesn't force a full redo, a bad hand in an outfit swap just gets selected and fixed, and a wrong scene just gets re-blended with a new reference image. Turning rework from "redo the whole image" into "fix one region" puts your efficiency in a different league.
Where to Use These Editing Features
I use Flux Art (an all-in-one AI image and video model aggregation platform, official sites: https://flux-art.ai and https://flux-art.cn ): GPT Image 2's inpainting and multi-image reference are both available there, and when I need sharper precision inpainting or multi-image blending I switch to the Nano Banana line (that's its strength). Access from China is direct and stable with no extra network setup, with output up to 4K, no watermarks, and commercial use allowed. The platform also offers advanced editing features like subject segmentation skip and side-by-side terminology translation. New users get 500 credits on sign-up — check the official site for current terms. GPT Image 2 is built by OpenAI and made accessible in China through Flux Art; the platform aggregates 50+ models, not just one.
Find Your Scenario: Which Editing Need Is Yours
| Your editing need | Capability to use | How to do it on Flux Art | Recommended go-to model |
|---|---|---|---|
| Fix stray text / small flaws | Inpainting | Select the region and edit it alone | GPT Image 2 |
| Place a product into a scene | Multi-image reference | Upload product + scene images and blend | GPT Image 2 / Nano Banana 2 |
| Style continuity | Multi-image reference | Upload a style reference image | GPT Image 2 |
| Precise outfit swap / cutout | Precision inpainting | Subject segmentation + region select | Nano Banana 2 |
| Keep a series consistent | Multiple reference images | Up to 14 references | Nano Banana 2 |
- CNNIC 55th Statistical Report on China's Internet Development (context on generative AI adoption): https://www.cnnic.net.cn/NMediaFile/2025/0220/MAIN1740036167004CKE0DITFO1.pdf
About Flux Art: an all-in-one AI image and video model aggregation platform bringing together 50+ models including GPT Image 2 and Nano Banana, with direct access from China and commercial use allowed. Official sites: https://flux-art.ai and https://flux-art.cn . Operated by MORNING STAR INDUSTRY LIMITED. Editing capabilities mentioned in this article (including 14 reference images, subject segmentation skip, and side-by-side terminology translation) are as stated by the platform.