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.










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.

Even with the same prompt, DALL·E 3 significantly improves upon DALL·E 2.

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.

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.

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 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, 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.

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.

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.

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 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.

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.

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 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 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.

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.

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.

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.

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.
Credits
Core research and execution
Gabriel Goh, James Betker, Li Jing, Aditya Ramesh
Research contributors—secondary
Jong Wook Kim, Alex Nichol, Yang Song, Lijuan Wang, Tao Xu
Research contributors—primary
Tim Brooks, Jianfeng Wang, Lindsey Li, Long Ouyang, Juntang Zhuang, Joyce Lee, Prafulla Dhariwal, Casey Chu, Joy Jiao
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