Text-to-Image Generation
Generates images from text prompts using a unified neural network that processes text and image data together, supporting complex multi-part instructions.
GPT Image 1 is OpenAI's flagship image generation model, released in April 2025, designed to convert text descriptions into images and make targeted edits to existing photos. It is built on a unified neural network architecture that processes both text and images together, which allows it to interpret complex, multi-part prompts and produce outputs that closely match the specified intent. The model supports readable text rendering within images, making it practical for use cases like marketing materials, infographics, and product labels. Output formats include square (1024×1024), portrait (1024×1536), and landscape (1536×1024) resolutions, with three quality tiers available. GPT Image 1 is particularly suited for creative professionals, marketers, and developers who need consistent, production-ready visuals. Its region-aware editing capability allows changes to specific parts of an image — such as a background or a single object — without altering unrelated elements like faces, lighting, or logos. The model accepts image inputs alongside text prompts, enabling workflows that involve editing or building upon existing photos. It is accessible via the OpenAI API and is integrated into MindStudio for use without requiring direct API key management.
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The number of tokens supported by the input context window.
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A fuller summary of positioning, capabilities, and source-specific details for GPT Image 1.
GPT Image 1 is OpenAI's flagship image generation model, released in April 2025, designed to convert text descriptions into images and make targeted edits to existing photos. It is built on a unified neural network architecture that processes both text and images together, which allows it to interpret complex, multi-part prompts and produce outputs that closely match the specified intent. The model supports readable text rendering within images, making it practical for use cases like marketing materials, infographics, and product labels. Output formats include square (1024×1024), portrait (1024×1536), and landscape (1536×1024) resolutions, with three quality tiers available.
GPT Image 1 is particularly suited for creative professionals, marketers, and developers who need consistent, production-ready visuals. Its region-aware editing capability allows changes to specific parts of an image — such as a background or a single object — without altering unrelated elements like faces, lighting, or logos. The model accepts image inputs alongside text prompts, enabling workflows that involve editing or building upon existing photos. It is accessible via the OpenAI API and is integrated into MindStudio for use without requiring direct API key management.
Generates images from text prompts using a unified neural network that processes text and image data together, supporting complex multi-part instructions.
Edits specific regions of an existing image based on instructions while preserving unspecified elements such as faces, lighting, and logos.
Renders legible, accurate text inside generated images, enabling practical use for infographics, product labels, and presentation slides.
Accepts arrays of image URLs as input alongside text prompts, enabling editing and transformation workflows on existing photos.
Supports three output aspect ratios — square (1024×1024), portrait (1024×1536), and landscape (1536×1024) — selectable per request.
Offers low, medium, and high quality settings so users can balance generation speed against output detail depending on their workflow needs.
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The configurable options currently documented for this model.
If you want to edit an existing image, provide the URL(s) or variables
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GPT Image 1 discussions are most active in r/ChatGPT, r/singularity, r/OpenAI. Top Reddit threads cluster around benchmark and model-comparison threads.
The strongest match in this snapshot has 1157 upvotes and 240 comments.
The image generation war just heated up again. OpenAI has officially dropped **GPT-Image-1.5** and it has already dethroned Google on the leaderboards.
**The Benchmarks (LMArena):**
**Rank:** #1 Overall in Text-to-Image With **Score** 1277 (Beating Gemini 3 Pro Image / Nano Banana Pro at 1235).
**Key Upgrades:**
**Speed:** 4x Faster than the previous model (DALL-E 3 / GPT-Image-1).
**Editing:** It supports precise "add, subtract, combine" editing instructions.
**Consistency:** Keeps character appearance and lighting consistent across edits (a major pain point in DALL-E 3).
**Availability:** ChatGPT: Rolling out today to all users via a new "Images" tab in the sidebar.
**API:** Available immediately as gpt-image-1.5.
**Google held the crown with "Nano Banana Pro" for about a month. With OpenAI claiming "4x speed" and better instruction following, is this the DALL-E 3 successor we were waiting for?**
**Source: OpenAI Blog**
🔗: https://openai.com/index/new-chatgpt-images-is-here/
**Video :** https://youtu.be/DPBtd57p5Mg?si=iBlvJ0Km6uUoltYn
Many people did not like my "realistic" results, so i tried again. Still not perfect, but better than before.
The first 3 images of each set are GPT image 1.5, the rest is Nano Banana Pro.
I think Nano Banana Pro won this round.
Introducing ChatGPT Images, powered by our flagship new image generation model.
* Stronger instruction following
* Precise editing
* Detail preservation
* 4x faster than before
Rolling out today in ChatGPT for all users, and in the API as GPT-Image-1.5.
[https://openai.com/index/new-chatgpt-images-is-here/](https://openai.com/index/new-chatgpt-images-is-here/)
The model seems very good compared to GPT-IMAGE-1, claims to be from openai, so it's fair to think this is the long awaited GPT-IMAGE-2.
Image prompt - "a table with an analogue clock that read 7:24 and a glass of wine with the wine completely full to the brim"
it's reads about 7:26 so close enough
Edit - I agree with you guys that style wise it isn't very good, however the clock face and full wine glass is a good test that it basically passes, plus the text rendering is good, try it out yourself!
GPT Image 1 has a context window of 4,000 tokens, which governs the length of text prompt input it can process per request.
The model accepts text prompts along with arrays of image URLs, allowing both pure text-to-image generation and image editing workflows.
The model supports three output sizes: square at 1024×1024, portrait at 1024×1536, and landscape at 1536×1024 pixels.
GPT Image 1 was released by OpenAI in April 2025.
Yes. GPT Image 1 is designed to render legible text within images, which makes it suitable for generating materials like infographics, product labels, and slides that require accurate copy.
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