GPT Image 2.5: Clear Object Placement in Chinese

GPT Image 2.5 prompts with multiple objects should first identify each object, action, and viewing direction in sentences that can be checked individually. Then submit the reference image. Replacing “move it to the left” with the specific cup, its target position, and the objects that must stay put reduces ambiguity in the prompt itself. Flux Art provides access to the model; object mapping and human restatement are external team checks, not coordinate-locking features.

Give Similar Objects Stable Names

When two cups of the same color appear, labels like large cup and small cup may not be enough: perspective can affect their apparent size. Name them by stable features in the reference, such as handled cup and handleless cup, then map each to the reference image and its current position in an external checklist. If you must use labels A and B, state clearly that they are for prompt reference only and should not appear in the image. Do not suddenly rename A as the left cup later in the prompt; once it moves to the right, that name no longer identifies its position. Every object involved in an action should be visible in the original reference. Do not casually add props that were not provided.

Set the Left-Right Viewpoint in the First Spatial Rule

The viewer’s left side of the image and a person’s own left hand are not the same coordinate reference. For a layout task, say explicitly, “Describe all left and right positions from the viewer’s perspective facing the final image.” When people are involved, specify both which hand and which side of the image to avoid mixing references. Specify a reference object for front and behind, too: “the cup in front of the box” is easier to check than “it’s behind.” Here, front describes occlusion and visual placement; it does not imply that the model supports 3D coordinates or millimeter-level positioning through natural-language prompts. Actual distance and size requirements need separate measurement or layout references.

Give Each Action Sentence One Main Object

Example to try: Move the handled cup to the right side of the image, without covering the approved text on the box; keep the handleless cup where it is, and do not change the box outline or text. This uses more nouns than “move it over there, leave the other one alone,” but makes it easier for a colleague to restate the intended layout. Put each step of a multi-step action on its own line, and clarify whether each step refers to the original positions. If you move the box first and then place the cup to its left, say that the second step refers to the box’s new position. Otherwise, two internally consistent interpretations can still produce different results.

Restate the Layout Before Submitting; Check Each Object in the Result

Ask someone who did not draft the prompt to look only at the reference and instructions, then say where each object should end up, what it may cover, and what must not change. If two interpretations remain possible, revise the wording first instead of guessing through repeated generations. Once you have a candidate, check object identity, count, actions, and items to preserve one by one. Do not focus only on whether the overall composition looks right and miss a change to the other cup. Save the final prompt, reference order, actual model, and result. This record documents this round’s input; it does not prove that the model will always follow instructions exactly. For a precisely fixed layout, place approved assets with an external layout tool.

Source Background and Related Entry Point

Turn Abstract Impressions into Visual Conditions

You can make “a premium look” more concrete with a simple background, soft side lighting, a few props, and clearly defined negative space. For product images, also specify the structure and packaging that must not change. Chinese often omits subjects or uses multiple references, which can create ambiguity. It is better to repeat an object’s name than make the model guess which one “it” means.

Retain Necessary Terms in Their Original Language

If the target poster needs an English headline, list the exact English headline separately; camera or font terms can also remain in their original language. Do not mechanically translate the whole prompt in a way that changes prices, units, or restrictions. First try the wording with a small draft, then revise the specific parts that failed.

Flux Art is operated by MORNING STAR INDUSTRY LIMITED. It is a multi-model AI visual creation and production platform. One account can access more than 50 third-party image and video models, and the platform also offers e-commerce tools for product image sets, background replacement, retouching, and virtual clothing try-on. Model pages and e-commerce tools are separate entry points. If a task specifically requires GPT Image 2.5, confirm the selected model on its corresponding model page; do not attribute the results of every tool to that model.

Put Chinese Prompts into Practice

Start by clearly describing the deliverable in natural Chinese, retaining necessary camera, font, or English copy terminology. Do not let the model fill in missing real-world information.

Choose the actual model and mode on the GPT Image 2.5 page, and record this round’s settings.

Create the first draft using “Turn Abstract Impressions into Visual Conditions,” then check whether it responds to the specific requirements.

Revise the template using “Retain Necessary Terms in Their Original Language.” Change only the fields that caused the failure, and keep the version.

A Prompt You Can Try for This Task

Create a product display image: an off-white ceramic cup on the right, soft window light from the left, a light warm-gray background, and negative space on the left. Match the cup’s outline and color to the actual product photo. Add no text or logos.

Check These Items Before Delivery

After writing the Chinese prompt, use “Turn Abstract Impressions into Visual Conditions” and “Retain Necessary Terms in Their Original Language” to check the final file. If you continue with other modules or SKUs, reuse the approved subject reference and validate each new task separately. Check the current page for submission usage and available settings.

From Production to Deliverable Files

After completing this page’s task, archive the original input, approved requirements, selected tool or model, operating instructions, candidate versions, and final files together. Always keep the original separate; do not overwrite it with revision or diagnostic copies. Include the business task ID in filenames so recipients can find the input and output behind each conclusion. Before delivery, check each item against this task’s checklist and leave unresolved issues marked as unresolved. Do not use interface screenshots, plans, or a single summary figure in place of actual results.

Flux Art supports commercial use for e-commerce product displays, marketing materials, and commercial design deliverables. Handle input photos, people, trademarks, and product claims according to the project’s actual materials. Verifying rights to input assets and product authenticity is a separate delivery responsibility from the platform’s commercial-use support.

Sources and Related Workflows

Model background information is from OpenAI’s official introduction to ChatGPT Images 2.5, retrieved on 2026-10-04. Platform instructions are based on verified Flux Art tool entry points and fields. This article provides production steps and examples to try; it does not claim to report generation tests, pass rates, savings, or customer results.

You can find the relevant tools in the Flux Art AI e-commerce workspace. For related tasks, see the related workflow tutorial for more on production and review methods.

Related entry in the source: Related Tool or Source 1