How to Deploy Diffusion Models

If you’ve used social media in the past six months, you might have come across some really impressive text-to-image generation machine learning models like DALL-E 2 (https://openai.com/dall-e-2) or Stable Diffusion (https://stability.ai/blog/stable-diffusion-announcement), that can create stunning images in seconds, just from a few words!

In this Livestream, we’ll explore exactly what these diffusion models are, as well as how you can build and deploy your own text-to-image generator like our Muse app (https://lightning.ai/muse), in production, with Lightning AI.

You can also share your Lightning Apps with us — we always feature a few in our monthly livestream. Simply share a tweet mentioning `@LightningAI` with the hashtag #BuildWithLightning!

🎓 What you will learn:

• Introduction to Diffusion Models & Text-to-image Generators
• Deploying Diffusion models in Production
• Dynamic Batching and Autoscaling with Lightning App
• Editing & Personalizing your Lightning App
• Clone & Run your own Image Generator in Production!

👩‍💻 Who should attend:

• Anyone interested in text-to-image generators or diffusion models
• Researchers, MLOps Engineers
• Practitioners in Machine Learning and Data Science
• Aspiring Data Scientists, Machine Learning Engineers

🎈 Prerequisites:

• Sign up or Log in to your Lightning AI account for free credits to Clone, build, and run apps locally & on the cloud: https://lightning.ai/
• If you're new to ML Engineering, check out our education series: https://www.pytorchlightning.ai/edu/engineering-class

🍪 How to attend:

• Register to participate in the Livestream or watch the replay at this link: https://www.youtube.com/watch?v=JV4Yb-IIEcI

🎙️ Speakers:

• Aniket Maurya, Developer Advocate at [Lightning.ai](http://lightning.ai/) | Creator of GradsFlow, https://www.linkedin.com/in/aniketmaurya
• Naiyarah Hussain, Senior Developer Relations Manager at Lightning AI, https://www.linkedin.com/in/naiyarah