GPT Images 2.0
Suited to image tasks that need clearer instructions, richer detail, and reference-image control.
Preview
Keep Processing Image Assets
After image generation, continue removing backgrounds, upscaling, or send key frames to video models for motion versions.
GPT Images 2.0
Clarify The Image Brief, Then Generate Usable Versions
GPT Images 2.0 is suited to image tasks with more information. Describe the purpose, subject, text, composition, style, and constraints, or upload references so results align more closely with product, character, brand, or layout requirements.
GPT Image 2Detailed image briefsReference constraintsText and layout
Text + references
Text explains the goal and constraints, while references add subject, material, layout, or brand direction.
Image versions
Use for product displays, ad concepts, posters, explainers, content covers, and follow-up editing.
Which Image Tasks Fit GPT Images 2.0
When an image must be more than attractive and needs a clear purpose, text area, subject relationship, and reference constraints, GPT Images 2.0 is better for turning requirements into editable visual versions.
Handles detailed image briefs
Clarify the deliverable, audience, subject, style, aspect ratio, required elements, and excluded content so results are easier to judge.
Use references to reduce drift
Upload product photos, portraits, UI screenshots, sketches, or brand samples to ground the subject, material, composition, and visual direction.
Works for images with text
Try headlines, labels, short phrases, explanation areas, and localized versions. Before formal publishing, still manually check spelling and small text.
Better for clear layout hierarchy
For infographics, campaign posters, product explainers, and multi-element ads, specify priority, sections, and whitespace in the prompt.
Move from draft to production review
Generate multiple visual directions first, then check product details, logos, body proportions, copy facts, copyright references, and brand rules.
Revise with feedback
Give the next round specific feedback about background, crop, text area, subject position, color, and style instead of starting from blank each time.
Common GPT Images 2.0 Uses
Move from “I need an image” to “what problem should this image solve”: product displays, ad explanations, content covers, and text-led visuals can all be broken down by purpose.
Turn Product Or Campaign Briefs Into Image Versions
Organize selling points, audience, use case, aspect ratio, and brand tone into an image brief, then generate several comparable directions.
Define the purpose first
State whether it is a product image, ad visual, poster, explainer, cover, or landing-page visual.
Describe the image structure
Specify subject placement, background, text area, lighting, composition, whitespace, and elements to avoid.
Filter by version
Check the overall direction first, then review details, text, brand fit, and publishing risks.
Transform Existing Assets With References
Upload product photos, portraits, UI screenshots, sketches, or brand assets, then state which parts must stay and which parts can be remade.
Keep key features
Lock product appearance, person identity, UI structure, material, logo placement, or brand colors.
Set the change scope
Change only background, scene, crop, text area, style, or lighting to avoid unintended edits to the key subject.
Advance with feedback
Continue editing with concrete feedback such as “wider text area”, “move product right”, or “cleaner background”.
Generate Visuals With Text And Information Hierarchy
Create posters, label images, explainers, content covers, localized campaign graphics, and marketing assets that need clear text areas.
Control text volume first
Prefer short headlines, short labels, and clear sections. The more text there is, the more manual proofreading is needed before publishing.
Leave room for channels
Plan aspect ratios and safe areas for product pages, ad placements, landing pages, content covers, or presentations in advance.
Check before launch
Use only after confirming names, facts, marks, people, trademarks, copyright references, and platform rules.
How To Use GPT Images 2.0
01
Clarify the image purpose first
Decide whether the image serves product display, ad delivery, a poster, explainer, cover, content page, or internal proposal, and specify the target channel and aspect ratio.
02
Add subject, text, and references
Describe the subject, background, composition, lighting, style, text content, and constraints. Upload references when consistency matters, and state what must be preserved.
03
Review manually after generation
Check text, logos, product details, body proportions, object count, and visual hierarchy, then continue revising with specific feedback.
GPT Images 2.0 FAQ
What is GPT Images 2.0?
GPT Images 2.0 is a model capability for image generation and editing. FlashOmni provides an entry point to help you generate image versions from text briefs and references.
Which images is it suited for?
It fits product display images, ad concepts, posters, infographics, explainers, content covers, localized campaign graphics, and edits that need reference constraints.
Can it be used for images with text?
You can try short headlines, labels, explanation areas, and localized text versions. The finer and more abundant the text, the more manual review is needed before publishing.
When should I upload references?
When product appearance, character traits, brand colors, UI structure, material, composition, or an original photo must not drift, references are clearer than text alone.
How is it different from normal image generation?
It is better suited to clear, structured image requirements, such as images with text areas, information hierarchy, reference constraints, or brand cues that must be preserved.
How should I write the prompt?
Start with the deliverable type and purpose, then add audience, subject, scene, style, composition, aspect ratio, text content, and constraints. When uploading references, separate what must stay from what can change.
Can generated images be used commercially?
Commercial suitability depends on platform terms, input assets, trademarks, likenesses, copyright references, industry regulations, and publishing channel rules. Rights and content review are still required before formal use.
Why review the result?
AI images may contain errors in text, marks, proportions, details, people, or brand rules. Treating generated results as candidate versions makes them better suited to real production.
Start Using GPT Images 2.0
Enter an image brief, upload references as needed, and use GPT Images 2.0 to generate product images, ad concepts, posters, explainers, content covers, and editable image versions.
GPT Images 2.0 ModelText + references Input