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](https://openai.com/dall-e-2/)) or Stable Diffusion ([https://stability.ai/blog/stable-diff...](https://stability.ai/blog/stable-diff..., 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](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 and deploy free ML apps: [https://lightning.ai/](https://lightning.ai/)
If you're new to ML Engineering, check out our education series: [https://www.pytorchlightning.ai/edu/e...](https://www.pytorchlightning.ai/edu/e...)
*🎙️ Speakers:*
Aniket Maurya, Developer Advocate at [Lightning.ai](http://lightning.ai/) | Creator of GradsFlow, [ / aniketmaurya ]( / aniketmaurya )
Naiyarah Hussain, Senior Developer Relations Manager at Lightning AI, [ / naiyarah ]( / naiyarah )