Germanidis: Creators use Gen-2 for wide scenes and Gen-1 for character fidelity
Anastasis Germanidis · How goal-setting and planning is different for AI products | Anastasis Germanidis (Runway) · Nov 9, 2023 · at 32:21
Anastasis Germanidis is co-founder and CTO of Runway. He explains how video creators combine Runway's text-to-video (Gen-2) and video-to-video (Gen-1) models in real production workflows.
0:00 / 0:23exact quote · 23.7s
▶ Watch the full episode on YouTube → 720p mp4 · rendered on demand · StarZero watermark
“Right now, we're seeing people combine Gen One and Gen Two in interesting ways. So they can use Gen two for a lot of the footage in the final output where you don't need that very precise control. But then when you have a, let's say a character speaking or emoting in certain ways where you need that, that fidelity and like the level of expressiveness, you can use Gen one for just those pieces.”
quote is from the automated transcript, cleaned for reading: filler sounds and stutters are removed, nothing is rephrased. names can be misheard (the analysis reads context, assessments check outside sources). how →
More from Anastasis Germanidis
Starting from AI capabilities beats traditional customer-interview-driven product development
“What we realized as we kept building those products was starting from like research that just like Became possible and identifying some coming, having some hypothesis of the ways in which it could really, we could build like really strong and valuable tools ar…”
Runway's long-term goal is generating entire feature-length films with AI
“We want to eventually make it possible to generate using generative models to build an entire like feature length home. And we want to solve all the problems along the way to get there. And that's not something that could be tackled necessarily in a very incre…”
Germanidis: Hugging Face Spaces and Replicate modernize early model hub concepts
“I think hugging face spaces or replicate and maybe a more modern version of that same idea around model hub.”
AI features drive acquisition, but traditional editing features drive user retention
“The AI functionality was the thing that drove a lot of folks in the product because it allowed them to do things a lot faster. But then once they were users of runway, then they could perform a lot of the other aspects of editing. We had a product, a video edi…”
Runway intentionally maintains a headcount below standard industry benchmarks
“We generally for the kind of life cycle, the company tried to remain lean and like grow very intentionally. And so at every stage of the company, we're probably smaller than we should be according to kind of benchmarks of the industry, but that's kind of been …”
Standard multi-week sprint timelines fail when applied to ambitious AI research
“Initially we had kind of similar schedules in how we're thinking about developing new research and developing new product. And so we expected results like compelling results from a research project in the span of a few weeks. And if those results weren't there…”