GPT Image 2 AI Image Generator Create, edit, and prepare images at 1K, 2K, or 4K
Start from a written brief or edit uploaded references with GPT Image 2. Lovart ME returns one image per job, offers 16 aspect ratios at 1K, and prices 1K, 2K, and 4K output at 3, 5, and 8 credits.
- 3
- Resolution levels
- Choose 1K, 2K, or 4K
- 16
- Aspect ratios
- Full selection available at 1K
- 2
- Input workflows
- Text generation and reference editing
- 1
- Image per job
- A clear cost for each result
What GPT Image 2 is useful for
OpenAI describes GPT Image 2 as its advanced model for fast, high quality image generation and editing. On Lovart ME, the practical value is a single workflow that covers early concepts, reference based changes, and higher resolution delivery.
Build a concept from text
Describe the deliverable, subject, composition, setting, lighting, and constraints. A concrete production brief gives reviewers more to evaluate than a list of style words.
Edit with reference images
Upload an existing image and state what must change and what must remain fixed. Additional references can supply product, material, palette, or layout cues.
Match the publishing format
Choose the destination before generation. Product tiles, portrait covers, presentation images, mobile stories, and wide banners need different framing and copy space.
Separate draft and final work
Use 1K to compare directions, 2K for routine publishing, and 4K when an approved image needs more detail or room for cropping.
Review production details
Inspect people, hands, products, logos, small objects, and any generated text at full size. Treat the model as part of the production process, not the final approval step.
Choose resolution and ratio together
Resolution changes both credit cost and the available formats. At 2K and 4K, the Kie.ai workflow disables 5:4, 4:5, 3:1, 1:3, and 9:21, so settle the destination before the final render.
1K for direction finding
Spend 3 credits to test the brief, composition, palette, and reference roles. All 16 aspect ratios are available at this level.
2K for regular publishing
Spend 5 credits for web headers, campaign assets, presentations, and product pages that need more detail than a draft.
4K for approved finals
Spend 8 credits when the selected direction needs closer inspection, larger placement, or cropping flexibility. Check critical details at full size.
A practical ratio map
Square and balanced
1:1, 5:4, and 4:5 fit catalog tiles, product scenes, and social posts. The last two are available only at 1K in this workflow.
Portrait and mobile
2:3, 3:4, 1:2, and 9:16 suit people, covers, posters, and mobile screens. Use 1:3 or 9:21 only at 1K.
Landscape and campaign
3:2, 4:3, 2:1, 16:9, and 21:9 work for editorial art, presentations, website banners, and wide campaign scenes.
Auto and extreme layouts
Auto lets the source guide the crop. The 3:1 format is useful for narrow placements but is limited to 1K, so state the subject position and empty copy area.
GPT Image 2 prompt templates for real deliverables
Replace the bracketed fields, put business requirements first, and remove details that do not affect the image. For edits, list protected elements before requested changes.
Product launch visual
Create a product scene with controlled lighting and space for campaign copy.
Create a [ratio] launch image for [product]. Keep the product shape, label, and colors from reference 1. Place it on [surface] under [lighting]. Camera: [angle and lens feel]. Leave clean negative space on the [side] for approved copy. Do not add accessories, logos, or text. Working note: Use a straight product reference and a separate visual direction reference when their roles differ.
Controlled image edit
Change a defined part of a source while preserving the approved composition.
Edit reference 1. Preserve [subject, framing, colors, lighting, and protected details]. Replace only [target area] with [new content]. Match the existing perspective, shadows, edge softness, and material texture. Do not crop or add unrelated objects. Working note: Describe the boundary of the edit in concrete visual terms rather than asking for a general improvement.
Editorial illustration
Turn an article idea into a clear visual metaphor without inventing factual labels.
Create a [ratio] editorial illustration for an article about [topic]. Show [central visual idea] in [medium or style]. Composition: [foreground, subject, background]. Palette: [colors]. Leave room for the publication headline. Do not include statistics, captions, or brand marks. Working note: Provide the approved article angle; the model should illustrate it, not decide the factual claim.
Poster with short copy
Draft a poster where a small amount of exact text must appear inside the image.
Design a [ratio] poster for [event or offer]. Display the exact headline '[headline]' and line '[supporting text]'. Use [visual style], high contrast, and a simple reading order. Do not invent dates, sponsors, prices, logos, or additional words. Working note: Generate one language at a time and proofread every character before approval.
How to use GPT Image 2 on Lovart ME
The same four steps work for a new concept and a reference based edit.
- 01
Choose the input mode
Use Text to image for a new scene. Choose Image to image when an existing product, person, composition, or visual style must guide the result.
- 02
Write constraints before style
Name the deliverable, subject, layout, protected details, and prohibited additions. Then add lighting, palette, material, and camera direction.
- 03
Set resolution and ratio
Use 1K while exploring, 2K for everyday publishing, and 4K for an approved final. Check that the selected ratio remains available at the chosen resolution.
- 04
Generate, inspect, and revise
Review the result at full size. Change one or two instructions per attempt so the team can identify which revision solved the problem.
GPT Image 2 questions
These answers distinguish OpenAI model information from the options currently available through Lovart ME and Kie.ai.
What is GPT Image 2?
GPT Image 2 is OpenAI's advanced image generation model for fast, high quality generation and editing. It accepts text and image inputs and produces image output. The current OpenAI snapshot is gpt-image-2-2026-04-21.
Can GPT Image 2 edit an existing image?
Yes. Choose Image to image, upload one or more references, and describe what must change and what must stay fixed. Lovart ME currently provides four upload slots for this workflow.
How many credits does an image cost?
A 1K result costs 3 Lovart ME credits, 2K costs 5 credits, and 4K costs 8 credits. Each job returns one image, and the current price appears in the generator before submission.
Which resolutions are available?
The current workflow supports 1K, 2K, and 4K. Use 1K for prompt and composition tests, 2K for routine publishing, and 4K after the direction is approved.
Why are some aspect ratios disabled at 2K or 4K?
The Kie.ai GPT Image 2 API does not support 5:4, 4:5, 3:1, 1:3, or 9:21 at 2K and 4K. Lovart ME disables those combinations in the generator to prevent invalid requests.
Can it put accurate text inside an image?
You can request short text, but every result needs proofreading. Put exact copy in quotation marks, keep the layout simple, and never rely on the model to invent legal, pricing, or factual wording.
How long does generation take?
Lovart ME does not promise a fixed completion time. Resolution, queue load, network conditions, and the upstream service can all affect a job.
Can I use the output commercially?
Commercial use depends on current platform terms, your rights to uploaded references, and the laws that apply to the project. Review the image and confirm those rights before publication.
Continue the image workflow
Compare another OpenAI workflow, switch to a different high resolution model, or review public examples before the next brief.