Top Builders

Explore the top contributors showcasing the highest number of app submissions within our community.

OpenAI DALL-E 2

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.

General
Relese dateApril 6, 2022
AuthorOpenAI
Repository-
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

Libraries

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
Edit on GitHub

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.

GHOST BOARD — Autonomous AI Command Center

GHOST BOARD — Autonomous AI Command Center

GHOST BOARD is a futuristic multi-agent AI operating system designed to simulate how autonomous AI executives coordinate during critical enterprise crises. Unlike traditional AI assistants that work independently, GHOST BOARD orchestrates multiple specialized AI executives including CEO AI, CTO AI, Security AI, Operations AI, HR AI, and Marketing AI. Each AI executive collaborates in real time to analyze incidents, escalate risks, coordinate workflows, and generate enterprise recovery strategies autonomously. The platform simulates realistic enterprise-scale operational failures such as cyberattacks, infrastructure outages, payment system failures, and security breaches. During each simulation, AI executives communicate through live operational intelligence feeds, generate department-specific responses, evaluate business impact, and coordinate recovery actions across the organization. The system combines a cinematic cyberpunk-inspired command center with real workflow orchestration powered by n8n and AI reasoning pipelines. Executive outputs are transformed into operational dashboards, escalation timelines, recovery systems, and intelligence reports that mimic real enterprise coordination environments. To improve realism, the platform includes a fictional enterprise ecosystem called NovaPay Technologies, featuring connected infrastructure systems, operational telemetry, AI executive monitoring, and live crisis-response workflows. Key capabilities include: - Multi-agent AI executive orchestration - Real-time crisis simulation engine - Autonomous workflow coordination - Live AI communication pipelines - Enterprise operational dashboards - Security operations visualization - Predictive operational analytics - AI-generated recovery reports - Infrastructure monitoring systems - Webhook-based automation using n8n

AluminatiAI

AluminatiAI

AluminatiAI GreenTune is an autonomous energy intelligence platform designed to optimize enterprise AI training workloads. As large language model fine-tuning becomes more expensive and energy-intensive, GreenTune helps organizations reduce infrastructure cost, power consumption, and carbon emissions through AI-driven optimization and real-time telemetry. The system uses a multi-agent swarm powered by Gemini, including specialized agents for orchestration, configuration optimization, policy enforcement, and energy analysis. These agents collaborate using real function calling to test and evaluate training configurations for efficiency before workloads are launched. GreenTune also includes “Lobster Trap,” an energy governance framework that enforces hard limits on CO2 emissions, energy usage, efficiency, and cost to prevent wasteful training runs. During execution, GreenTune streams live GPU telemetry from AMD MI300X hardware, monitoring watts, joules-per-token, throughput, CO2 emissions, and infrastructure cost in real time through a web dashboard. In testing, the platform achieved up to 45–69% improvements in energy efficiency while fine-tuning Qwen2.5-7B with QLoRA on Hermes reasoning datasets. Our vision is to become the energy intelligence layer for AI infrastructure, helping enterprises make AI workloads observable, governable, and energy-aware as compute demand continues to scale.

GHOST BOARD — Autonomous AI Command Center

GHOST BOARD — Autonomous AI Command Center

GHOST BOARD is a futuristic multi-agent AI operating system designed to simulate how autonomous AI executives coordinate during critical enterprise crises. Unlike traditional AI assistants that work independently, GHOST BOARD orchestrates multiple specialized AI executives including CEO AI, CTO AI, Security AI, Operations AI, HR AI, and Marketing AI. Each AI executive collaborates in real time to analyze incidents, escalate risks, coordinate workflows, and generate enterprise recovery strategies autonomously. The platform simulates realistic enterprise-scale operational failures such as cyberattacks, infrastructure outages, payment system failures, and security breaches. During each simulation, AI executives communicate through live operational intelligence feeds, generate department-specific responses, evaluate business impact, and coordinate recovery actions across the organization. The system combines a cinematic cyberpunk-inspired command center with real workflow orchestration powered by n8n and AI reasoning pipelines. Executive outputs are transformed into operational dashboards, escalation timelines, recovery systems, and intelligence reports that mimic real enterprise coordination environments. To improve realism, the platform includes a fictional enterprise ecosystem called NovaPay Technologies, featuring connected infrastructure systems, operational telemetry, AI executive monitoring, and live crisis-response workflows. Key capabilities include: - Multi-agent AI executive orchestration - Real-time crisis simulation engine - Autonomous workflow coordination - Live AI communication pipelines - Enterprise operational dashboards - Security operations visualization - Predictive operational analytics - AI-generated recovery reports - Infrastructure monitoring systems - Webhook-based automation using n8n

Ken: The Real-Time Co-Listener

Ken: The Real-Time Co-Listener

Every professional consultation contains a moment where you stop understanding — and say nothing. The lawyer mentions indemnification clauses. The doctor walks through your treatment options. You nod. You leave. You google it in the parking lot. Existing tools don't solve this. Otter records the meeting — but the moment has passed. Hedy nudges in real time but can't explain why it fires. ChatGPT answers what you ask — but you don't know what to ask. Ken is the only tool combining real-time intervention, explainable triggers, and self-hostable open-weight infrastructure. Ken transcribes live audio and runs it through four explainable trigger types: Jargon Bomb, Impact Alert, Question Suggester, and Commitment Tracker — each mapped to a specific cognitive gap. Every intervention tells you exactly why it fired. See it in our demo video above. Built on AMD Developer Cloud (Instinct MI300X, ROCm 7) using faster-whisper and Qwen3-14B via vLLM. Full stack runs on open weights, self-hostable — the first AMD-native co-listener viable for law firms, hospitals, and enterprises where data cannot leave the firewall. Market: The global AI meeting assistant market is $4–6B and growing. Ken's SAM — regulated-industry knowledge workers in legal, healthcare, and finance — exceeds 15 million professionals in the US alone. Freemium + Pro at $19/month for individuals; $30–$80/user/month for enterprise on-premise deployment. Future: Domain packs, multilingual support, and community trigger rules near-term. Longer term: insurance, immigration, government benefits — any regulated expert-to-layperson conversation. Consumer adoption drives enterprise pipeline.