April 22, 2026
ChatGPT Images 2.0 by OpenAI is now in Givon AI
Givon AI now includes ChatGPT Images 2.0 by OpenAI for image generation and editing, including text in images, multilingual layouts, masked inpainting, and structured visual work.
ChatGPT Images 2.0 by OpenAI is available in Givon AI for image generation and editing. The model is strongest when the image needs structure, readable text, layout logic, or a specific edit rather than only a visual style.
Use it for multilingual graphics, product visuals, interface-like layouts, information design, and image edits where the rest of the frame should stay stable.
On this page
What changed
Text and layouts
A strong fit for images that include readable text, hierarchy, posters, cards, or interface-like structure.
Multilingual visuals
Useful for visual content where different writing systems and layout consistency matter.
Masked inpainting
Select an area and regenerate only that part while keeping the rest of the image.
Reference-based work
Use references to keep product, character, or design direction closer to the brief.
Context
Why this release matters for image work
Many image models are good at style, but weaker when the output has to communicate information. ChatGPT Images 2.0 is useful when composition, text, and the meaning of visual elements matter together.
In Givon AI, it sits beside video and editing tools, so generated images can become references, thumbnails, story frames, or assets for later scenes.
Use cases
Where it helps most
Marketing graphics
Generate image concepts that include text, objects, and a clear visual hierarchy.
Product and UI mock visuals
Create structured visuals where layout matters as much as style.
Targeted edits
Use inpainting to replace a background, object, or detail without rebuilding the full image.
FAQ
ChatGPT Images questions
- Can I edit only part of an image?
- Yes. Use a mask to define the area that should be regenerated.
- Is it useful for text in images?
- Yes. This is one of the main reasons to use it for applied visual work.