OpenAI DALL-E-2 AI technology Top Builders

Explore the top contributors showcasing the highest number of OpenAI DALL-E-2 AI technology app submissions within our community.


DALL-E 2 is a new version of DALL-E, a generative language model that creates corresponding original images from sentences. DALL-E 2 has 3.5B parameters, making it large but not nearly as large as GPT-3. Interestingly, it is smaller than its predecessor, which had 12B parameters. Despite its size, DALL-E 2 generates images 4 times better in resolution than DALL-E. Additionally, human judges prefer DALL-E 2 over DALL-E 70% of the time in caption matching and photorealism.

Relese dateApril 6, 2022
TypeAutoregressive, Transformer, Image generation model

Start building with DALL-E 2

We have collected the best DALL-E 2 libraries and resources to help you get started to build with DALL-E 2 today. To see what others are building with DALL-E 2, check out the community built DALL-E 2 Use Cases and Applications.

OpenAI DALL-E 2 Tutorials


A curated list of libraries and technologies to help you build great projects with DALL-E 2.

  • Blog Open AI's blog post about DALL-E 2 API
  • Documentation DALL-E 2 Documentation
  • API DALL-E 2 API Documentation

OpenAI DALL-E-2 AI technology Hackathon projects

Discover innovative solutions crafted with OpenAI DALL-E-2 AI technology, developed by our community members during our engaging hackathons.

FutureMe - Vision Your Success

FutureMe - Vision Your Success

Unlock your potential with FutureMe! Designed exclusively for university students, FutureMe is not just an app; it's your personal roadmap to success. By allowing you to set ambitious long-term goals, it uses cutting-edge AI to break them down into manageable mid-term and short-term tasks. But that's not all – it brings your future achievements to life with vivid success visualizations and goal hierarchy diagrams, keeping you motivated and on track. Transform your dreams into reality and start your journey to success with FutureMe today! After conducting some interviews across UBC we identified, most of the students, struggle with effective goal setting and visualization of their future. The lack of a structured and intuitive platform often results in scattered objectives, unmet aspirations, and a sense of directionlessness. Traditional goal-setting methods may not cater to the diverse timeframes of long-term, mid-term, short-term, and immediate goals, leading to confusion and inefficiency. Additionally, the absence of consistent reminders and progress tracking mechanisms can hinder motivation and hinder goal achievement. Thus our Motivation app streamlines goal setting by categorizing long-term (5-10 years), mid-term (1 year), short-term (semester or monthly), and immediate goals (daily/weekly). It creates a visual hierarchy diagram for goal visualization and sends daily reminders to achieve goal. Weekly progress tracking includes time spent and streaks. The visualization uses AI to showcases themself in future with positive lifestyle based on goal achievements. Our primary target audience is university students. These individuals are at a crucial stage in their lives where they are shaping their futures, setting academic and personal goals.