Categories: Image

Training Diffusion Models with micro-budget (8xH100) in only 3 days!

🧵Scaling up generative models is crucial to unlock new capabilities. But scaling down is equally necessary to democratize the end-to-end development of generative models.

Excited to share our new work on scaling down diffusion generative models by drastically reducing the overhead of training them from scratch.

Now anyone can train a stable-diffusion quality model from scratch in just $2,000 (2.6 training days on a single 8xH100 node).

arxiv.org/abs/2407.15811

submitted by /u/1wndrla17
[link] [comments]

AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
Tags: ai images

Recent Posts

Never forget…

submitted by /u/ShadowBoxingBabies [link] [comments]

7 hours ago

A Reinforcement Learning Based Universal Sequence Design for Polar Codes

To advance Polar code design for 6G applications, we develop a reinforcement learning-based universal sequence…

7 hours ago

Democratizing business intelligence: BGL’s journey with Claude Agent SDK and Amazon Bedrock AgentCore

This post is cowritten with James Luo from BGL. Data analysis is emerging as a…

7 hours ago

An ‘Intimacy Crisis’ Is Driving the Dating Divide

In his book The Intimate Animal, sex and relationships researcher Justin Garcia says people have…

8 hours ago

New fire just dropped: ComfyUI-CacheDiT âš¡

ComfyUI-CacheDiT brings 1.4-1.6x speedup to DiT (Diffusion Transformer) models through intelligent residual caching, with zero…

1 day ago