
DALL·E
DALL·E is an AI image generation model developed by OpenAI, announced in 2021. It was designed to create images from text prompts, allowing users to produce images that range from realistic to surreal and previously unseen concepts. It has evolved through several versions, including DALL·E 2 and DALL·E 3. Try DALL·E for free below!
Explore DALL·E's Models
Key Features
- Advanced Generative Capabilities: Generate coherent and appealing images from text
- Inpainting: Edit specific parts of an image with AI
- Outpainting: Extend an image beyond its original borders
Advanced Generative Capabilities
DALL·E utilizes a transformer architecture to process text prompts and generate images. It employs diffusion processing to refine the generated images, ensuring they are coherent and visually appealing. DALL·E is trained on vast amounts of text-image pairs to learn associations between words and visual elements.
See the following generation examples from OpenAI:
Text prompt | Image |
A photorealistic image of an astronaut riding a horse |
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an armchair in the shape of an avocado… |
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a store front that has the word ‘openai’ written on it… |
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Inpainting
The newer versions of DALL·E offers the inpainting feature that allows users to edit specific parts of an image by filling in missing or undesired areas. This can be used to correct errors, remove unwanted elements, or make precise alterations within an image.
See the following generation examples from OpenAI:
Input | Outputs |
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Outpainting
The outpainting feature of DALL·E enables users to extend an image beyond its original borders. This allows for the creation of larger scenes or the addition of new elements that blend seamlessly with the existing image.
See the following generation examples from OpenAI:
Input | Output |
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YouTube Videos About DALL·E
Reddit Posts About DALL·E
See what people are discussing about DALL·E on Reddit:
Let’s have a serious discussion about using DALL-E and its struggles with text.
by u/SovereignJames in dalle2
DALL-E 3 Explanation. How it actually works.
by in aiwars
What People Are Talking About DALL·E on X
Thread of DALL-E AI generated images and their prompts
— critter (@BecomingCritter) April 6, 2022
Early impressions of @OpenAI's DALL-E 2. 🧵
— Grant Sanderson (@3blue1brown) June 14, 2022
All images below were produced by AI, with me feeding it the quoted prompt. I was most curious about how helpful such a tool might be in creative work.
"A sloth playing a guitar, photograph 35mm lens" pic.twitter.com/EHOXlrAOl9
💭 @Merzmensch on working with DALL-E 1 in 2021 and his prompt: "Mona Lisa is drinking wine with da Vinci."
— anika meier (@postanika) November 8, 2024
"I tried it, expecting just another de-auratised Mona Lisa replica (as Walter Benjamin would have expected). But what DALL-E 1 created with this semi-ironic request… pic.twitter.com/i4CGZupGoF
DALL-E's strengths and weaknesses: While DALL-E ranked first in 38% of human evaluations, it showed a significant weakness in human-perceived photorealism (58.3%).
— Labelbox (@labelbox) August 1, 2024
A Thread: Dall-E or not Dall-E. Is it easy to spot an AI generated image? Some of these images have been generated using #dalle2 and the others are from published photography collections. What do you think. 1/? pic.twitter.com/6buV5rNnOR
— TomLikesRobots🤖 (@TomLikesRobots) July 28, 2022
OpenAI has decided today that it’s safe for us to start sharing images containing realistic faces. DALL-E2 is actually excellent at faces.
— Patrick Clair (@PatrickClair) June 21, 2022
From here on, this feed will largely be machine dreams of people that never existed.
Created with @openai #dalle #dalle2 #AI pic.twitter.com/alfmKeaAiE
Huh.
— David R. MacIver (@DRMacIver) October 21, 2023
This is a genuine actual output from GPT-4's DALL-E plugin. This is the first time I've seen an image generator quite this pixel-perfect just straight up copy something from its training set. pic.twitter.com/aYIG4md9en
From DALL·E to Stable Diffusion: how did generative AI models came to be?
— Tryolabs (@tryolabs) August 31, 2022
There's a massive leap from early 2021 DALL·E to today's generative models: take a peek at how they work for generating images and what these four models are all about! https://t.co/vKa5kw1wrU
The DALL·E image generator can produce spectacular visuals, but really stumbles over text. As a result, the tourism posters it comes up with are extremely good. Visit scenic Colado! #dalle pic.twitter.com/419Lv9eJ1E
— Randall Munroe (@xkcd) June 2, 2022
DALL-E 2 had the best aesthetic of any image model and it's time to bring it back
— fabian (@fabianstelzer) February 22, 2025
(so I made a glif workflow that acts as a DALL-E 2 filter on any image heheheh) pic.twitter.com/y1nCQFqVBQ
Discover Other AI Image Generators
FAQs
How does DALL·E work?
DALL·E uses a transformer architecture to process text prompts and generate images. It is trained on a vast dataset of text-image pairs.
Can I use DALL·E for free?
Yes, you can try DALL·E for free, but there is a usage limit for this. For more generation credits, you'll need to subscribe to their paid plans.
Does DALL·E allow NSFW?
No. They implement safety filters to avoid users creating explicit or potentially harmful images. So you can use DALL·E to generate NSFW images.
Can DALL·E generate videos?
No, DALL·E is an image model and can only create AI images only. If you want to learn more about what video generation tools OpenAI offer, take a look at its Sora.
Is DALL·E available for the public?
Yes, DALL·E is now available to everyone. It can be accessed through the OpenAI website or via the DALL·E API for integrating into applications. Or you can try DALL·E for free on Pollo AI!
