Theta Model Pipelining

Last week Theta previewed an upgraded AI Showcase on EdgeCloud

This breakthrough brings a two-stage text to image model allowing input into Llama3 LLM.  I will attempt to provide an over simplified description of the Theta process.  Then allowing for stable diffusion 'optimized' prompt, that is then used for the input image model. Theta's approach allows it to create enhanced AI output.

Theta's AI Showcase workflow

As you can see below there are lots of steps in the workflow 

What powers this AI enhancement?

GPU's are required to run and the more GPU's the better (aka scaling) and you already know that the Theta Blockchain has the ability to exploit GPU's via its technology. Are you running an Theta Edge Node and earning TFUEL for your jobs?

Looking for Theta's new AI Showcase?

Find it here - https://www.thetaedgecloud.com/ai-showcase

Seeking other blogs on Theta EdgeCloud? 

Here are two of my most recent on EdgeCloud:

• Theta EdgeCloud: Unveiled Sketch-to-3D generative AI Model
• Theta EdgeCloud Release Inbound

Summary

Theta EdgeCloud is ground breaking for several technological advancements, AI Showcase being just one breakthrough. Are you ready for full go live on June 26th? I am looking forward to even more EdgeCloud features.

Credits - all credits to Theta Network and their amazing developer team!

Disclaimer - I am not an employee nor an agent of Theta Network, although it sounds super exciting!