Baseten Blog | Page 13
How to deploy Stable Diffusion using Truss
Explore deploying the open-source Stable Diffusion model by Stability AI on Baseten. This walkthrough details the deployment process for those interested.
New in August: Deploy, deploy, deploy
In August, we focused on model deployment, from basic classifiers to advanced Stable Diffusion image generators, as a key step in realizing ML's business value.
StartupML AMA: Daniel Whitenack
Meet Daniel, Data Scientist and founding data science team member at SIL
StartupML AMA: Nikhil Harithas
Meet Nikhil, Machine Learning Engineer at Patreon and early data team expert
Why we built and open-sourced a model serving solution
Truss, our open-sourced bridge for model development to deployment, saves time for data scientists and ML engineers on MLOps tasks in model serving.
New in July: A seamless bridge from model development to deployment
We've launched Truss, an OSS Python package for model serving and deployment. Baseten users have been using it unknowingly, now offering new capabilities.
New in June: Full-stack superpowers
Excited to highlight this month's major strides in empowering data scientists to create and maintain full-stack applications with real value.
Four ML models that accelerate content creation
Philip Kiely, our technical writer, demonstrates four tasks in his content creation process, highlighting models that enhance speed and quality of work.
New in May 2022: Off-site but on-track
In late April, we launched Baseten's public beta and new brand, now focusing on learning and enhancing the product for beta users like you!
