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

Pirate VFX Breakdown | Made almost exclusively with SDXL and Wan!

In the past weeks, I've been tweaking Wan to get really good at video inpainting.…

5 hours ago

Try Deep Think in the Gemini app

Deep Think utilizes extended, parallel thinking and novel reinforcement learning techniques for significantly improved problem-solving.

5 hours ago

Introducing Amazon Bedrock AgentCore Browser Tool

At AWS Summit New York City 2025, Amazon Web Services (AWS) announced the preview of…

5 hours ago

New vision model from Cohere runs on two GPUs, beats top-tier VLMs on visual tasks

Cohere's Command A Vision can read graphs and PDFs to make enterprise research richer and…

6 hours ago

Anthropic Revokes OpenAI’s Access to Claude

OpenAI lost access to the Claude API this week after Anthropic claimed the company was…

6 hours ago

New AI tool learns to read medical images with far less data

A new artificial intelligence (AI) tool could make it much easier—and cheaper—for doctors and researchers…

6 hours ago