ChatGPT Can Now Turn Photos Into Animated GIFs With Images 2.6

OpenAI’s Images 2.6 lets ChatGPT users create animated GIFs, reuse saved photos, and edit images faster. Explore the new features and availability.

Written By
Liz Ticong
Liz Ticong
Nov 5, 2026
ChatGPT Can Now Turn Photos Into Animated GIFs With Images 2.6

OpenAI's Images 2.6 comes with animated GIF creation, faster image generation, and improved editing consistency. Image generated with ChatGPT Images 2.6.

ChatGPT users can now turn photographs into animated GIFs, giving them a way to create moving images without opening separate editing software.

OpenAI introduced Images 2.6 on Nov. 4, bringing GIF creation, faster image generation, and more consistent editing to ChatGPT and its developer tools. The update also adds new options for reusing saved images across conversations.

For individuals and businesses, the changes could make it easier to create and revise visual content. However, some features are still rolling out, and the quality of AI-generated images remains important when producing materials for public use.

Animate images and reuse saved photos

Users can create looping GIFs by describing the animation they want, including which parts of an image should move. They can also upload an existing photograph or illustration and ask ChatGPT to animate it.

Once a GIF is generated, users can refine the animation through follow-up instructions, adjust its playback speed, and save or share the finished file. However, ChatGPT cannot currently edit an animated GIF that a user uploads.

Saved reference photos offer another option for people working with the AI tool’s image-generation features. Users can upload and name a reference image, then retrieve it in future conversations by typing @ followed by its saved name. Someone creating illustrations of the same pet or character, for example, can reuse the original photo without uploading it for every project.

Faster image generation brings more precise editing tools

OpenAI says Images 2.6 generates pictures 50% faster than before. Image creation has also reached considerable scale, with the company reporting 4 billion images generated weekly across ChatGPT, Codex, and its API.

Improved editing consistency is another part of the update. The model reportedly does a better job of preserving characters and product details through successive revisions, including elements important to brand identity.

Developers using the image-generation API can choose between two updated models.

Model
Main capabilities
GPT-Image-2.6 FlarePrioritizes speed and can generate an image in as little as six seconds at low quality.
GPT-Image-2.6 SunburstOffers higher-detail output and improved consistency across edits at medium or high quality settings.

Developers also gain image markup for specifying editing areas, SVG exports for scalable graphics, and a complexity setting that controls how much planning the model performs.

Advertisement

Both API models cost $8 per million image-input tokens and $30 per million image-output tokens, with text billed separately, according to OpenAI’s pricing.

Images 2.6 is available globally across ChatGPT and Codex subscription tiers, but GIF creation is still rolling out.

More must-read AI coverage

SMBs could produce more marketing content with ChatGPT

Small businesses and marketing teams using AI image generators could test Images 2.6 with an existing product photograph before using it for an entire campaign. For instance, a retailer could create promotional graphics from an approved photo and prepare an animated version for social media or email without commissioning a separate animation.

Before publishing, marketing staff should compare each version with the original product to catch changes to packaging, logos, or promotional claims. Businesses using generated GIFs in advertisements should also review the relevant platform’s AI-generated advertising disclosure rules and retain human approval of public-facing material.

A small pilot using an existing campaign could help businesses determine whether the updated tools deliver meaningful time savings. Teams can compare production time, the number of revisions required, and the effort involved in reviewing AI-generated assets against their current workflows.

The value of Images 2.6 will ultimately depend on whether faster generation translates into reliable, usable content rather than additional editing work.

More AI news: OpenAI’s GPT-6 Astra helped two employees design a working hardware prototype in under a week, although manufacturing still called for human corrections.

Liz Ticong

Liz Ticong is a technology writer specializing in artificial intelligence, cybersecurity, software reviews, and emerging business technologies. With more than a decade of professional writing experience and over five years contributing technology content for TechnologyAdvice, she helps readers understand complex technologies and evaluate the tools that best fit their needs. Liz has extensive experience researching, testing, and analyzing software platforms, AI tools, and technology solutions. Her work includes in-depth software reviews, buyer’s guides, product comparisons, and technology news coverage designed to help businesses make informed purchasing and implementation decisions. She regularly evaluates AI applications, automation tools, cybersecurity solutions, and business software, providing practical insights based on hands-on testing and research. In addition to her work with TechnologyAdvice, Liz has contributed technology content to leading industry publications, including eWeek and TechRepublic. Her background in technical writing and software analysis enables her to translate complex technical concepts into clear, actionable guidance for both business and technology audiences. Liz holds a bachelor's degree in Broadcast Communication from the Polytechnic University of the Philippines and continues to expand her expertise through ongoing education in artificial intelligence and emerging technologies. Through her writing, she helps readers navigate a rapidly evolving technology landscape with practical, research-driven insights and real-world product analysis.