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Research

DALL·E 3

DALL·E 3 understands significantly more nuance and detail than our previous systems, allowing you to easily translate your ideas into 
exceptionally accurate images.

An illustration of an avocado sitting in a therapist's chair, saying 'I just feel so empty inside' with a pit-sized hole in its center. The therapist, a spoon, scribbles notes.
A 2D animation of a folk music band composed of anthropomorphic autumn leaves, each playing traditional bluegrass instruments, amidst a rustic forest setting dappled with the soft light of a harvest moon.
 A middle-aged Tongan woman twirls against a deep black backdrop, her curly hair stormy. Her attire, like marble and porcelain shards, catches the light, creating a dreamlike, fragmented yet fluid scene.
Photo of a lychee-inspired spherical chair, with a bumpy white exterior and plush interior, set against a tropical wallpaper.
A silhouette of a grand piano overlooking a dusky cityscape viewed from a top-floor penthouse, rendered in the bold and vivid style of a vintage travel poster.
A vibrant yellow banana-shaped couch cradles colorful cushions in a cozy living room. A patterned rug adds charm on the wooden floor, while a potted plant reaches towards sunlight through the window.
A vast meat landscape unfolds with roast beef hills, chicken drumstick trees, bacon rivers, and ham boulders. A pepperoni sun and salami clouds decorate the sky, creating a surreal and appetizing scene.
A paper craft art depicting a girl giving her cat a gentle hug. Both sit amidst potted plants, with the cat purring contentedly while the girl smiles. The scene is adorned with handcrafted paper flowers and leaves.
A minimap diorama of a cafe adorned with indoor plants. Wooden beams crisscross above, and a cold brew station stands out with tiny bottles and glasses.
A middle-aged Asian woman with silver-streaked hair appears fractured within broken porcelain. The porcelain, splattered with blues, greens, oranges, and reds, captures her surreal dance in stillness and motion.

About DALL·E 3

DALL·E 3 is now available to all ChatGPT users, as well as to developers through our API.

Modern text-to-image systems have a tendency to ignore words or descriptions, forcing users to learn prompt engineering. DALL·E 3 represents a leap forward in our ability to generate images that exactly adhere to the text you provide.

A woman underneath a cherry blossom tree is setting up a picnic on a yellow checkered blanket around sunset. Behind her, a small, calm body of water containing a boat with 4 figures on their way to a Pagoda in the middle of the water.
Even with the same prompt, DALL·E 3 significantly improves upon DALL·E 2.
An expressive oil painting of a basketball player dunking, depicted as an explosion of a nebula.
An expressive oil painting of a basketball player dunking, depicted as an explosion of a nebula.
DALL·E 3 is built natively on ChatGPT, which lets you use ChatGPT as a brainstorming partner and refiner of your prompts. Just ask ChatGPT what you want to see in anything from a simple sentence to a detailed paragraph.

When prompted with an idea, ChatGPT will automatically generate tailored, detailed prompts for DALL·E 3 that bring your idea to life. If you like a particular image, but it’s not quite right, you can ask ChatGPT to make tweaks with just a few words.

As with DALL·E 2, the images you create with DALL·E 3 are yours to use and you don't need our permission to reprint, sell or merchandise them.

Focus on safety

Like previous versions, we’ve taken steps to limit DALL·E 3’s ability to generate violent, adult, or hateful content.

  • Preventing harmful generations

    DALL·E 3 has mitigations to decline requests that ask for a public figure by name. We improved safety performance in risk areas like generation of public figures and harmful biases related to visual over/under-representation, in partnership with red teamers—domain experts who stress-test the model—to help inform our risk assessment and mitigation efforts in areas like propaganda and misinformation.

  • Internal testing

    We’re also researching the best ways to help people identify when an image was created with AI. We’re experimenting with a provenance classifier—a new internal tool that can help us identify whether or not an image was generated by DALL·E 3—and hope to use this tool to better understand the ways generated images might be used. We’ll share more soon.

Creative control

DALL·E 3 is designed to decline requests that ask for an image in the style of a living artist. Creators can now also opt their images out from training of our future image generation models.

An ink sketch style illustration of a small hedgehog holding a piece of watermelon with its tiny paws, taking little bites with its eyes closed in delight.
Art deco style poster advertising travel to Venus, featuring stylized clouds and mountain landscapes in shades of yellow and orange with celestial bodies in the background.
Tiny potato kings wearing majestic crowns, sitting on thrones, overseeing their vast potato kingdom filled with potato subjects and potato castles.
A stylized portrait shows a tiger dividing two worlds: fiery reds and burning trees on the left, a lush green forest on the right. The tiger, with artistic features, symbolizes nature's endurance through chaos and rebirth.
Artistic textile representation of a beach scene with deep blue and turquoise yarn waves, sandy yarn beach, and tan yarn palm trees under a white yarn sun.
A glass heart stands on a pedestal in a stormy sea. Sunlight pierces the clouds, revealing a tiny universe inside. The quote "Find the universe within you" is boldly etched across the horizon.
Pixel art scene of Coit Tower standing tall on Telegraph Hill, with a panoramic view of the city below and birds flying around.
A 3D render of a coffee mug on a windowsill during a storm. The storm is reflected in the coffee, with tiny lightning bolts and waves. The dimly lit room enhances the dramatic atmosphere.
Illustration in flat design style of a diverse family of monsters. The group includes a furry brown monster, a sleek black monster with antennas, a spotted green monster, and a tiny polka-dotted monster, all interacting in a playful environment.
Close-up photograph of a hermit crab nestled in wet sand, with sea foam nearby and the details of its shell and texture of the sand accentuated.
A detailed oil painting of a sea captain steering through a storm. Saltwater splashes his weathered face, as menacing clouds swirl and waves crash. Thunder and eerie green lightning illuminate the scene.
Illustration of a chic chair with a design reminiscent of a pumpkin’s form, with deep orange cushioning, in a stylish loft setting.
An antique botanical illustration drawn with fine lines and a touch of watercolour whimsy, depicting a strange lily crossed with a Venus flytrap, its petals poised as if ready to snap shut on any unsuspecting insects.
A modern architectural building with large glass windows, situated on a cliff overlooking a serene ocean at sunset.
A photo of an ancient shipwreck nestled on the ocean floor. Marine plants have claimed the wooden structure, and fish swim in and out of its hollow spaces. Sunken treasures and old cannons are scattered around, providing a glimpse into the past.
A minimap diorama of a cafe adorned with indoor plants. Wooden beams crisscross above, and a cold brew station stands out with tiny bottles and glasses.

Credits

Core research and execution

Gabriel Goh, James Betker, Li Jing, Aditya Ramesh

Research contributors—primary

Tim Brooks, Jianfeng Wang, Lindsey Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Prafulla Dhariwal, Casey Chu, Joy Jiao

Research contributors—secondary

Jong Wook Kim, Alex Nichol, Yang Song, Lijuan Wang, Tao Xu

Inference optimization

Connor Holmes, Arash Bakhtiari, Umesh Chand, Zhewei Yao, Samyam Rajbhandari, Yuxiong He

Product—primary

Yufei Guo, Luke Miller, Joyce Lee, Wesam Manassra, Anton Tananaev, Chester Cho, Rachel Lim, Meenaz Merchant

Product—secondary

Dave Cummings, Rajeev Nayak, Sriya Santhanam

Safety—primary

Sandhini Agarwal, Michael Lampe, Katarina Slama, Kim Malfacini, Bilva Chandra, Ashyana-Jasmine Kachra, Rosie Campbell, Florencia Leoni Aleman, Madelaine Boyd, Shengli Hu, Johannes Heidecke

Safety—secondary

Lama Ahmad, Chelsea Carlson, Henry Head, Andrea Vallone, CJ Weinmann, Lilian Weng

Communications

Alex Baker-Whitcomb, Ryan Biddy, Ruby Chen, Thomas Degry, Niko Felix, Elie Georges, Lindsey Held, Chad Nelson, Kendra Rimbach, Natalie Summers, Justin Wang, Hannah Wong, Kayla Wood

Legal and public policy

Che Chang, Jason Kwon, Fred von Lohmann, Ashley Pantuliano, David Robinson, Tom Rubin, Thomas Stasi

Special thanks

Alec Radford, Mark Chen, Katie Mayer, Misha Bilenko, Mikhail Parakhin, Bob McGrew, Mira Murati, Greg Brockman, Sam Altman