Stable Diffusion is great at many things, but not great at everything, and getting results in a particular style or appearance often involves a lot of work & prompt engineering. If you have a particular type of image you'd like to generate, then an alternative to spending a long time crafting an intricate text prompt is to actually fine tune the image generation model itself.
The Lambda Deep Learning Blog
Voltron Data Case Study: Why ML teams are using Lambda Reserved Cloud Clusters
November 01, 2022
How to fine tune stable diffusion: how we made the text-to-pokemon model at Lambda
September 28, 2022
Lambda Cloud Storage is now in open beta: a high speed filesystem for our GPU instances
April 18, 2022
Lambda Teams Up With Razer to Launch the World’s Most Powerful Laptop for Deep Learning
April 11, 2022
The best tools for monitoring your GPU usage and performance statistics compared.
Researchers from NVIDIA and Aalto University have released StyleGAN3, removing a major flaw of current generative models and opening up new possibilities for their use in video and animation.
by Lambda and Scale Visualizing your training data is the foundation of every successful deep learning project. It’s important to both identify potential flaws in the ground truth labels, and to look for insights that will guide your choice of model architecture. Deeply understanding your data can help ensure