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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.

A Dutch still life featuring an arrangement of tulips in a fluted vase. The lighting in the scene is subtle, casting gentle highlights on the flowers and emphasizing their delicate textures and natural beauty.
White Cycladic houses with blue accents and vibrant magenta bougainvillea in a serene Greek island setting.
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.
sky
 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.
A spacious, serene room influenced by modern Japanese aesthetics with a view of a cityscape outside of the window.
Photo of a lychee-inspired spherical chair, with a bumpy white exterior and plush interior, set against a tropical wallpaper.
A tranquil, anime-style koi pond in a serene Japanese garden, featuring blossoming cherry trees.
cat-nap

About DALL·E 3

DALL·E 3 is now available to all ChatGPT Plus, Team and Enterprise 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 painting of a chocolate chip cooking being dunked in a glass of milk. It sits next to an image created by Dall-E 3 depicting the same thing.

DALL·E 2 · An expressive oil painting of a chocolate chip cookie being dipped in a glass of milk, depicted as an explosion of flavors.

An expressive painting of a chocolate chip cooking being dunked in a glass of milk. It sits next to an image created by DALL.E 2 depicting the same thing.

DALL·E 3 · An expressive oil painting of a chocolate chip cookie being dipped in a glass of milk, depicted as an explosion of flavors.

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.

DALL·E 3 will be available to ChatGPT Plus and Enterprise customers in early October. 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.

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.

Digital illustration of a beach scene crafted from yarn. The sandy beach is depicted with beige yarn, waves are made of blue and white yarn crashing onto the shore. A yarn sun sets on the horizon, casting a warm glow. Yarn palm trees sway gently, and little yarn seashells dot the shoreline.

A small felt star sits is surrounded by dark clouds.

A star-shaped object glowing warmly amidst dark blue clouds of felt material, with soft lighting highlighting the texture of the fuzzy fibers and a deep night sky in the background.

A large cactus made of Lego sits in the middle of a desert scene. Smaller cacti and sand surround the main cactus, also made with Lego.

A large, textured cactus with a gradient of green hues and prominent spikes, composed of toy building blocks. It's amidst smaller cacti on a desert floor, with a sandy brick texture under clear blue skies, casting sharp shadows.

Sculptural artwork of a woman's face constructed from paper and ceramic shards, capturing a moment of disintegration with flowing hair and vivid blue and white fragments.

A middle-aged woman of Asian descent, her dark hair streaked with silver, appears fractured and splintered, intricately embedded within a sea of broken porcelain. The porcelain glistens with splatter paint patterns in a harmonious blend of glossy and matte blues, greens, oranges, and reds, capturing her dance in a surreal juxtaposition of movement and stillness. Her skin tone, a light hue like the porcelain, adds an almost mystical quality to her form.

A bright, colorful scene foused on a papercraft goat standing infront of a small pond. There are trees, castles, a rainbow, and other creatures behind the goat, also depicted as papercraft.

An origami-inspired goat with geometric folds in a surreal land: candy-colored trees, a smiling sun with sunbeams, and small 3D-animated children playing under cotton-like clouds. Bright, fantastical lighting enhances the joyful mood.

 A realistic dome with stained glass windows sits in the middle of the desert, surrounded by cacti and other desert foliage.

An adobe-style dome building bathed in the warm glow of a desert sunset, with large stained glass windows casting colorful reflections. Surrounded by cacti, the scene captures the tranquil beauty of a desert at dusk.

A closeup image of a large red cap mushroom made of clay. Next to it is a much smaller red cap mushroom.

A red mushroom with white spots, crafted from play clay, features a distinct, wrinkled stalk. It's surrounded by green clay foliage, with a backdrop that casts a warm, inviting glow, emphasizing the shapes and playful colors.

An astronaut walks across an alien planet. Above them in the sky, a rocket flying over the silhouette of another planet.

Astronaut on an alien planet with cracked ground and distant mountains, under a sky with a large planet rising, a spaceship zooming, and stars. The scene has a cinematic feel with vivid colors, combining digital art and sci-fi elements.

A yellow flower in the style of classic botanical illustrations.

Imagine a botanical illustration with a vintage feel, depicting a large, vibrant yellow flower in full bloom, alongside buds and rich green leaves with intricate details. The medium is reminiscent of a hand-painted watercolor with precise, delicate strokes that give a lifelike representation of the plant. It has an overall classic and scientific aesthetic, as if taken from an old-world herbarium collection.

A realistic bowl of ramen full of many toppings, including a soft boiled egg, vegetables, and meat.

A steaming bowl of ramen with soft noodles, succulent charred slices of tofu, vibrant green onions, a soft-boiled egg with a runny yolk, golden corn, and a sprinkle of sesame seeds, all bathed in a rich, savory broth under warm lighting.

An elegant glass bowl sits on top of a table. The table cloth is white lace with a delicate floral pattern. Inside the bowl are many glass cherries. It is overly full, and some have spilled onto the table cloth.

An elegant crystal bowl on a pedestal, filled with glossy, translucent glass cherries, sits on a lace-covered table. The warm lighting casts soft shadows, highlighting the bowl’s intricate design and the delicate fabric texture. The composition has depth and a cozy ambiance in a wide crop ratio.

Oceanside sunset in San Juan.

Imagine a vibrant and picturesque street in La Perla, Puerto Rico, styled in a digital art medium. Colorful houses line the way, with lush, tropical flora accentuating the architecture. Umbrellas add pops of color along the street, which leads to a serene beach where gentle waves meet the shore under a sunset sky.

An inviting, comfortable lounge chair sitting next to an arched window with sun streaming through.

A cozy and well-lit corner of a room during the daytime. A large window with a rounded top, dressed with heavy cream-colored drapes, allows plenty of natural light to flood in. The walls are painted in a warm, golden yellow tone, giving the space an inviting glow, with a beige comfortable lounge chair in the center.

An ebroidery hoop depicts an intricate embroidery of a clown fish inside an anemone. Thread, needle, and scissors surround the hoop.

A realistic embroidered depiction of a clownfish amidst seaweed on a round hoop, showcasing vibrant shades of orange, white, black, and green with high detail and texture on a fabric background, surrounded by scattered yarn skeins and embroidery tools.

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.

A vintage travel poster for Venus in portrait orientation. The scene portrays the thick, yellowish clouds of Venus with a silhouette of a vintage rocket ship approaching. Mysterious shapes hint at mountains and valleys below the clouds. The bottom text reads, 'Explore Venus: Beauty Behind the Mist'. The color scheme consists of golds, yellows, and soft oranges, evoking a sense of wonder.

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 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