TLDRocket
Sign in
Latest We're going to need default hard budget caps on pretty much everything — Simon Willison’s Weblog The Agent Said It Was Done. The Database Disagreed. — Hugging Face September sponsors-only newsletter — Simon Willison’s Weblog 9 insights from ‘Private Tech Trailblazers’: Vertical AI becomes the g... — SiliconANGLE OpenAI safety employee resigns, claiming the company’s ‘culture is bro... — TechCrunch Aleph Alpha’s Sovereign A.I. Model Kolibri Is No Match for the Open-We... — Trending Topics AI is speeding up exploits. Vulnerability spreadsheets can’t keep up. — The New Stack All the AI agents that can live in your text messages — TechCrunch

The AI intelligence platform

Every AI story that matters — and the intelligence behind it.

TLDRocket reads all relevant sources, removes duplicate coverage, and publishes a short neutral summary of every story, linking back to the original. Free, no spam, unsubscribe anytime.

Add to Slack

Every story also updates live profiles event timelines weekly rankings the AI Market Index

Monday, 27 January 2025

State of open video generation models in Diffusers

Hugging Face 1 year ago 47

Open-source video generation models including CogVideoX, Mochi-1, and LTX Video have proliferated alongside proprietary offerings from OpenAI, Google, and others, prompting Hugging Face's Diffusers library to provide optimization tools for their deployment. HunyuanVideo requires 60.09 GB of memory under standard settings but can be reduced to 6.56 GB through combined quantization, CPU offloading, and tiling techniques. Users can now run video generation models on consumer hardware by chaining multiple optimization strategies, though doing so extends inference time from 863 seconds to around 1000 seconds.

The daily briefing

Every AI story that matters, in your inbox by 8am.

TLDRocket reads all relevant sources, removes duplicate coverage, and summarises the day in two minutes. Follow companies and topics for alerts, or get the briefing in Slack. Free, no spam, unsubscribe anytime.