Categories: FAANG

DALL·E API Now Available in Public Beta

Starting today, developers can begin building apps with the DALL·E API.

Read documentation

Developers can now integrate DALL·E directly into their apps and products through our API. More than 3 million people are already using DALL·E to extend their creativity and speed up their workflows, generating over 4 million images a day. Developers can start building with this same technology in a matter of minutes.




#generations
curl https://api.openai.com/v1/images/generations 
  -H "Content-Type: application/json" 
  -H "Authorization: Bearer $OPENAI_API_KEY" 
  -d '{
    "prompt": "a photo of a happy corgi puppy sitting and facing forward, studio light, longshot",
    "n":1,
    "size":"1024x1024"
   }'
down
#edits
curl https://api.openai.com/v1/images/edits 
  -H "Authorization: Bearer $OPENAI_API_KEY" 
  -F image="@/Users/openai/happy_corgi.png" 
  -F mask="@/Users/openai/mask.png" 
  -F prompt="a photo of a happy corgi puppy with fancy sunglasses on sitting and facing forward, studio light, longshot" 
  -F n=1 
  -F size="1024x1024"
down
#variations
curl https://api.openai.com/v1/images/variations 
  -H "Authorization: Bearer $OPENAI_API_KEY" 
  -F image="@/Users/openai/corgi_with_sunglasses.png" 
  -F n=4 
  -F size="1024x1024"
down

State-of-the-art image generation

DALL·E’s flexibility allows users to create and edit original images ranging from the artistic to the photorealistic. DALL·E excels at following natural language descriptions so users can plainly describe what they want to see. As our research evolves, we will continue to bring the state of the art into the API, including advances in image quality, latency, scalability, and usability.

Built-in moderation

Incorporating the trust & safety lessons we’ve learned while deploying DALL·E to 3 million artists and users worldwide, developers can ship with confidence knowing that built-in mitigations—like filters for hate symbols and gore—will handle the challenging aspects of moderation. As a part of OpenAI’s commitment to responsible deployment, we will continue to make trust & safety a top priority so that developers can focus on building.

DALL·E applications

We’ve worked closely with a few early customers who have already built DALL·E into their apps and products across a variety of use cases.

Microsoft Bing

Microsoft is bringing DALL·E to a new graphic design app called Designer, which helps users create professional quality social media posts, invitations, digital postcards, graphics, and more.

Microsoft is also integrating DALL·E in Bing and Microsoft Edge with Image Creator, allowing users to create images if web results don’t return what they’re looking for.

CALA

CALA is the world’s first fashion and lifestyle operating system. CALA unifies the entire design process—from product ideation all the way through e-commerce enablement and order fulfillment—into a single digital platform. Powered by DALL·E, CALA’s new artificial intelligence tools will allow users to generate new design ideas from natural text descriptions or uploaded reference images.

Mixtiles

Mixtiles is a fast-growing photo startup. They use software and an easy hanging experience to help millions of people create beautiful photo walls. Mixtiles uses the DALL·E API to create and frame emotionally resonating artwork, by guiding users through a creative process that captures childhood memories, dream destinations, and more.

We’re excited to see what our customers will do with DALL·E and what creative ideas they’ll come up with.

Build with OpenAI’s powerful models

DALL·E joins GPT-3, Embeddings, and Codex in our API platform, adding a new building block that developers can use to create novel experiences and applications. All API customers can use the DALL·E API today.


AI Generated Robotic Content

Recent Posts

Update: Distilled v1.1 is live

We've pushed an LTX-2.3 update today. The Distilled model has been retrained (now v1.1) with…

21 hours ago

How to Implement Tool Calling with Gemma 4 and Python

The open-weights model ecosystem shifted recently with the release of the

21 hours ago

Structured Outputs vs. Function Calling: Which Should Your Agent Use?

Language models (LMs), at their core, are text-in and text-out systems.

21 hours ago

Cram Less to Fit More: Training Data Pruning Improves Memorization of Facts

This paper was accepted at the Workshop on Navigating and Addressing Data Problems for Foundation…

21 hours ago

How to build effective reward functions with AWS Lambda for Amazon Nova model customization

Building effective reward functions can help you customize Amazon Nova models to your specific needs,…

21 hours ago

How to find the sweet spot between cost and performance

At Google Cloud, we often see customers asking themselves: "How can we manage our generative…

21 hours ago