Flux ArtFor a two-person product image, first specify who holds the product, how each person touches it, and which product details must remain visible. Then describe expressions and the background. Flux Art’s GPT Image 2.5 can create candidates from clearly specified person and product references. This article uses a position chart and an occlusion checklist to review the relationship between two people, two hands, and one product; it is not a record of an actual photo shoot.
Record Person IDs Separately from Positions
Use A and B to identify the approved person references, then specify that A is on the left and B is on the right. The IDs identify the people, so do not change them when the two people switch positions. Use P to identify the product, and say whether the image should show one item or an actual bundle. Specify the source for each person’s clothing and action. Avoid tangled pronouns such as “she passes it to her” when describing complex interactions. Obtain permission to use real-person material for its intended purpose; do not infer relationships between people from an image.
Show One Stable Contact State at a Time
A handoff can be divided into three static states: before the pass, while both people are touching the product, and after it is received. Choose one state for the image. For example, A supports the bottom of the product with their right hand, while B touches its side with their left hand, and the front label faces the camera. Do not ask for B to have taken the product alone while A still has a full grip on the same area. These action examples describe relationships; check real hand-holding references to confirm the poses and product scale.
Check Occlusion Before Expressions
Follow the product’s outline and check whether fingers pass through its casing, two hands merge into one, the label is accidentally covered, or the product appears more than once. Some occlusion from a natural grip is fine, but details shoppers need to verify must stay visible. Then check the people’s identities, clothing, and gaze direction. Natural expressions alone do not mean the image passes review; the product and hand contact are separate acceptance criteria.
A Reusable Two-Person Brief
Fill in: reference for Person A, reference for Person B, reference for Product P, left-right positions, each person’s hand role, product orientation, details that must be visible, and elements that must not be added. Example: A stands on the left and supports the bottom of P; B stands on the right and touches the side of P with their left hand; P appears only once, with its front label readable. If the input does not support a handoff pose, add a real pose reference first or switch to a side-by-side display. Do not use generated details to fill gaps in the product evidence.
Prepare the Relevant Tools and Materials
Keep the Person Descriptions Consistent
Asking for both a natural documentary look and textureless skin may make the result look less realistic. Describe age, skin tone, expression, and body type clearly but reasonably. Use identity references for identity and style references for style, so changing the lighting does not also change the person’s face.
| What to Specify | Details |
|---|---|
| Inputs or conditions | Person’s identity traits + action + camera + lighting + clothing + setting + elements that must not be distorted |
| Related action | Do not just write “beautiful woman” or “handsome man”; check the face, hands, perceived age, and material permissions separately |
| Must-check items | Keep person descriptions consistent; ensure the camera setup and action are feasible |
Flux Art is operated by MORNING STAR INDUSTRY LIMITED. It is a multi-model AI visual creation and production platform where one account can access 50+ third-party image and video models. It also offers ecommerce tools for product image sets, background replacement, retouching, and virtual clothing try-on. Model pages and ecommerce tools are separate workflows: if the task specifically requires GPT Image 2.5, confirm the selected model in the corresponding model page. Do not attribute every tool’s output to that model.
Make Sure the Camera Setup and Action Are Feasible
The seated pose, product grip, and direction of gaze should make sense together. After generation, check the fingers, joints, occlusion, and proportions of the people. If the image involves replacing a model’s face or using an existing real person, the permission must cover the intended use. A tool’s features do not grant permission to use someone’s likeness.
Turn Portrait Prompts into Actionable Steps
Start by filling in: person’s identity traits + action + camera + lighting + clothing + setting + elements that must not be distorted. Do not let the model supply details that are missing from the real materials.
Choose the actual model and mode from the GPT Image 2.5 page, and record the settings for this round.
Create a first small draft based on “Keep the Person Descriptions Consistent” and check whether it follows the specific requirements.
Revise the template based on “Make Sure the Camera Setup and Action Are Feasible.” Change only the fields that caused the failure, and keep the version history.
A Prompt to Try for This Task
Use approved person references and preserve their identity traits; natural seated pose, soft window light, realistic skin texture, and plausible hand positions. Change only the background this round; keep age and body type unchanged.
Check These Items Before Delivery
After completing the portrait prompt, review the final files against “Keep the Person Descriptions Consistent” and “Make Sure the Camera Setup and Action Are Feasible.” If you continue with other modules or SKUs, reuse the approved evidence for the main subject and validate each new task separately. Check the current page for submission consumption and available settings.
From Production to Deliverable Files
After completing this task, archive the original product photos, approved copy, selected tool or model, input notes, candidate versions, and final exports together. Always keep the originals separate; revisions must not overwrite the product evidence. Include the SKU or task ID in filenames so the operations team can find the sales version for each image. Before delivery, check resolution, cropping, captions, and links for each intended placement. Passing review for one large image does not mean it is ready for every placement.
Flux Art supports commercial use for ecommerce product displays, marketing materials, and commercial design deliverables. Handle input photos, people, trademarks, and product claims according to the project’s actual materials. Checking rights to input assets and verifying product authenticity are delivery tasks separate from the platform’s commercial-use support.
Sources and Related Workflows
For model background, see OpenAI’s official introduction to ChatGPT Images 2.5, checked on 2026-09-26. Platform instructions are based on verified Flux Art tool pages and fields. This article provides production steps and examples to carry out; it does not claim generation tests, pass rates, savings, or customer results that did not happen.
Find the relevant tools in the Flux Art AI ecommerce workspace. For related tasks, continue with the related product production tutorial for more guidance on production and review.
Related entry in the original: Related tool or source 1