The best GPT Image 2 settings depend on the task, the required output dimensions, the amount of detail, and the controls available in your workspace. There is no single configuration that is best for every image.
This guide explains the documented quality options, common image sizes, output formats, and practical starting points for drafts, product visuals, posters, and editing workflows. The recommendations below are suggestions to test, not guaranteed performance results.
1. Start with the GPT Image 2 Model
Select the GPT Image 2 model option when you want to use that model specifically. Check the model identifier and available controls in the interface you are using.
OpenAI’s API documentation lists GPT Image 2 quality options as auto, low, medium, and high. The precise controls exposed by GPTImage2.hk may differ from the full API.
Do not assume that every official API parameter is exposed in the website’s workspace.
2. How to Choose a Quality Setting
| Quality option | A practical starting point | What to check |
|---|---|---|
auto | When you want the API or workspace to select a quality option automatically | Check the actual output and the selected controls |
low | Early composition tests and quick visual exploration | Subject placement, layout, and overall direction |
medium | General drafts and visual review | Composition, readable details, and consistency with the brief |
high | Outputs that require closer attention to image detail | Small elements, text, edges, and product details |
These are workflow suggestions, not a guarantee that a particular quality setting will always produce a better result. Higher quality does not correct a vague prompt or an incorrect composition automatically.
For GPT Image 2, do not recommend xhigh or max as supported quality values. OpenAI documents these additional options for GPT Image 2.5 Flare and Sunburst, not for GPT Image 2.
3. Choose an Image Size
OpenAI documents these common sizes for GPT image models:
| Size | Typical aspect ratio | Possible use |
|---|---|---|
1024x1024 | 1:1 | Square product visuals, avatars, and social graphics |
1536x1024 | 3:2 | Landscape product visuals and editorial images |
1024x1536 | 2:3 | Portrait posters and vertical visuals |
1536x864 | 16:9 | A custom landscape canvas that satisfies the documented size rules |
GPT Image 2 also supports custom dimensions that satisfy the current model constraints. Width and height must both be divisible by 16, and the aspect ratio must be between 1:3 and 3:1.
Resolutions above 2560x1440 are experimental. The maximum supported resolution is 3840x2160, subject to the model’s current pixel and edge limits.
The custom sizes in this table are API examples. They do not imply that GPTImage2.hk currently exposes every size in its workspace.
4. Choose an Output Format
OpenAI documents png, jpeg, and webp as GPT image output formats.
| Format | Consider when | Important note |
|---|---|---|
| PNG | You need an image format that preserves pixel values without lossy JPEG-style compression | File sizes may be larger |
| JPEG | You need a commonly used photographic format | Compression can affect fine details |
| WebP | You need a web-oriented format with configurable compression in supported workflows | Check compatibility with your target platform |
The output_compression parameter applies to JPEG and WebP output, not PNG. Use the format and compression controls actually available in your workspace.
5. Starting Settings by Task
Product visuals
Start with an aspect ratio appropriate for the product listing. Review the product outline, label, colors, and background before producing more variations.
Marketing posters
Choose a portrait or landscape canvas that matches the intended placement. Provide exact text and its position. Proofread headlines, prices, and calls to action after generation.
Portraits and character concepts
Describe important identity and appearance details clearly. If reference-image input or editing is available in the workspace, confirm which controls are exposed and review each generated result.
Early drafts
Begin with a lower quality setting if it is available and suitable for the task. Focus first on subject placement and overall composition rather than minor texture details.
Image editing
When editing controls are available, define the intended change and the details that must remain unchanged. Review the edited output for unexpected changes.
6. A Reusable Workflow
Use this workflow as a starting point:
- Select the GPT Image 2 model if it is available.
- Choose the aspect ratio and size appropriate to the target placement.
- Choose an available quality option based on the task.
- Write a structured prompt describing the subject, composition, style, required text, and constraints.
- Generate the image and review the output.
- Adjust one important detail at a time, then compare the new output with the original brief.
There is no universal preset that fits every task. If your workspace does not expose a documented API control, do not assume you can set it directly.
7. Common Settings Mistakes
- Assuming
xhighormaxis a GPT Image 2 option: OpenAI documents these additional quality values for GPT Image 2.5 Flare and Sunburst. - Increasing the image dimensions without checking aspect ratio: Choose a canvas that matches the destination.
- Treating quality as a substitute for a clear prompt: State the composition and important details before refining settings.
- Ignoring file format and compression: Consider the intended use and the supported export controls.
- Assuming all API controls appear on the website: Check the actual workspace before following a parameter-specific instruction.
8. Frequently Asked Questions
What are the best settings for GPT Image 2?
There is no universal best setting. Choose the available quality, dimensions, and format according to the task and the output you need to review.
Is high quality always better?
Not necessarily. Quality is one setting among several. Composition, the prompt, image size, and the intended use also matter. Compare available settings using the same brief if you need to evaluate a change.
Which image sizes does GPT Image 2 support?
OpenAI documents common sizes such as 1024x1024, 1536x1024, and 1024x1536, as well as custom sizes subject to current model constraints. Not every size is necessarily exposed by GPTImage2.hk.
Does GPT Image 2 support xhigh and max?
These are additional quality options documented for GPT Image 2.5 Flare and Sunburst. Do not treat them as supported quality values for GPT Image 2.
Which output formats are available?
The OpenAI API documents PNG, JPEG, and WebP image output formats. Check the actual workspace to see which formats are available through GPTImage2.hk.
Related GPT Image 2 Guides
- What Is GPT Image 2? Features and Use Cases
- How to Generate 4K Images with GPT Image 2: Size Limits
- How to Write Better GPT Image 2 Prompts
- 50 GPT Image 2 Prompts to Copy and Customize
- GPT Image 2 Model and Parameters Tutorial
Try the GPT Image 2 Workspace
Open the workspace to check the current model and the controls available to your account.
Open the GPT Image 2 Workspace
The recommendations above are informational starting points. API capabilities and the controls offered through GPTImage2.hk are not necessarily identical.
