Marketing creative
Launch poster with strong text rendering
This example shows the commercial side of GPT Image 2: big headline treatment, price framing, strong hierarchy, and image-plus-text composition that still reads cleanly.
UlazAI - AI Image & Video Tools
Advanced OpenAI image model
Affordable GPT Image 2 API for advanced image generation
UlazAI makes GPT Image 2 easier to use for text-to-image, image editing, text-rich visuals, and higher-quality commercial image workflows, billed at 12 credits per image.
12 credits / image
Text-to-image + edit
Preset + custom aspect ratios
API model IDs
gpt-image-2-text-to-image
gpt-image-2-image-to-image
Best for
Campaign visuals, product concepts, text-rich creatives, merchandising edits, and polished branded assets.
Input
Prompt only for generate mode, or prompt plus up to 16 public image URLs for image-to-image editing.
Real output examples from GPT Image 2
These examples show the range clearly: promotional poster work, text-heavy infographic layouts, and structured educational visuals that still stay readable.
Infographic example
How magnets work
Good example of structured explainer layout, icon usage, and readable labels across multiple sections.
Infographic example
How the human body loses fat
Shows step-based educational storytelling with labels, arrows, and simple explanatory structure.
Infographic example
How a bird can fly
Shows more complex diagram framing with multiple panels, anatomy callouts, and visual consistency.
Main ways to create with GPT Image 2
GPT Image 2 matters when you need stronger prompt fidelity, better text inside images, and cleaner edits without adding workflow complexity.
Text to image
Turn written prompts into marketing creatives, product concepts, poster directions, ad images, illustrations, and branded visual assets.
Image to image
Start from an existing image when you need style shifts, product recoloring, background replacement, subject cleanup, or controlled merchandising edits.
Production-friendly task flow
Use the same async job flow for generate and edit, then poll by task ID or connect a callback when you want completion pushed into your backend.
Why teams care about GPT Image 2
The value is not just prettier images. It is better control where text rendering, edit precision, structure, and commercial output quality all matter at the same time.
Text-rich visuals
GPT Image 2 is better suited for posters, storefront mockups, packaging, ads, UI concepts, and infographics where the text inside the image needs to stay readable.
Cleaner local edits
Editing workflows stay more coherent when you need to change one object, update a background, or refine a product scene without rebuilding everything around it.
Grounded visual output
It is a stronger fit for diagrams, maps, architecture, educational graphics, and other outputs where structure and world knowledge matter as much as style.
Faster prompt iteration
That matters when your team is testing many campaign directions, comparing visual variants, or building interactive generation experiences with tight response loops.
Multilingual creative workflows
Localized ads, packaging, UI mockups, and educational visuals become more practical when text generation inside the image is not limited to one market or language.
Commercial cost clarity
12 credits per image keeps forecasting straightforward when you want to move from testing to repeatable production usage.
How to deploy GPT Image 2 on UlazAI
1. Validate the model in Image Studio
Test prompt behavior, compare text-to-image versus image-to-image, and review output quality before you wire the model into production paths.
Studio model: gpt_image_2
12 credits per image
2. Integrate the async create-task flow
Use the correct GPT Image 2 model ID, pass your prompt, and add callBackUrl when you want completion notifications instead of polling.
POST /api/v1/jobs/createTask
model: gpt-image-2-text-to-image or gpt-image-2-image-to-image
3. Handle output storage and status
Store the generated assets, track task IDs, and wire retries, timeouts, moderation, and cost controls before you send GPT Image 2 traffic into full production.
GET /api/v1/jobs/recordInfo?taskId=...
Supported parameters
prompt: required for both text-to-image and image-to-image.
callBackUrl: optional callback URL for async completion notifications.
aspect_ratio: UlazAI passes the selected ratio through to GPT Image 2, including custom aspect ratios in Image Studio when you need something beyond the default presets.
nsfw_checker: optional boolean safety filter. In UlazAI Image Studio this is exposed as a simple safety-filter toggle.
input_urls: required for edit mode, accepts up to 16 public image URLs.
taskId: returned after createTask and used for status polling.
Where GPT Image 2 adds the most value
- Campaign visual creation at scale across ads, paid social, launches, banners, and branded promotions.
- Product image editing and merchandising where backgrounds, colors, packaging, or hero layouts need controlled updates.
- Design systems and content pipelines that need repeatable editorial visuals, UI mockups, infographics, and support graphics.
- Global workflows where the final image needs readable text across multiple languages and markets.
FAQs
What is GPT Image 2 good for?
It is a strong fit for text-rich creative, higher-quality marketing visuals, product editing, merchandising updates, and commercial image workflows that need tighter control.
Does it support both text-to-image and image-to-image?
Yes. UlazAI exposes both GPT Image 2 text-to-image and GPT Image 2 image-to-image in the same model family.
How much does it cost?
12 credits per image in Image Studio.
Can I pass my own aspect ratio?
Yes. UlazAI supports the default presets and also lets GPT Image 2 jobs pass a custom aspect ratio when you need a specific format.
Can I control safety filtering?
Yes. UlazAI exposes nsfw_checker as a simple safety-filter toggle for this model.
Try GPT Image 2 in UlazAI
Open GPT Image 2 in Image Studio, run prompt-only or reference-based jobs, choose a preset or custom ratio, and keep costs predictable at 12 credits per image.