IMO, most videos models will be fully real time within 2 years. You will be able to pick a model, imagine any world and then be fully immersed in it. Walk around any city interacting with people, first person shooter games on any map with crazy monsters, or just let the model auto-pilot an adventure for you.
Probably not, but even if so, how much will that cost? There's AI that will take a pronpt like "what's the best weed whacker in 2025" and build a whole web page to publish the review. It's great, awesome. $10 in tokens to do that.
And that's probably still a subsidized cost!
Bfw "what is the best weed whacker" is John C. Dvorak's "AI test"
Nice! Thanks for sharing. I hadn't seen that paper before. Looks like they take in a real-world video and then re-generate the mouth to get to lip synch. In our solution, we take in an image and then generate the entire video.
I am sure they will have open source solutions for fully-generated real-time video within the next year. We also plan to provide an API for our solution at some point.
For the input, we pass the model: 1) embedded audio and 2) a single image (encoded with a causal VAE). The model outputs the final RGB video directly.
The key technical unlock was getting the model to generate a video faster than real-time. This allows us to stream video directly to the user. We do this by recursively generating the video, always using the last few frames of the previous output to condition the next output. We have some tricks to make sure the video stays relatively stable even with recursion.
Nice find! I hand't seen this before (and will take a deeper look later). It looks like this is an approach to better utilize the GPU memory. And, we would probably benefit from this to get more of a speed-up, which would also help us get better video quality.
I do not think they are running in real time though. From the website: "Personal RTX 4090 generates at speed 2.5 seconds/frame (unoptimized) or 1.5 seconds/frame (teacache)." That means it would take them 37.5s to generate 1 second of video, which is fast for video but way slower than real time.
Yep, this is way slower but considered SOTA on video-gen open source.
I mostly meant the using the previous frames to generate new frames insight that reminded me but lack knowledge on the specifics of the work
glad if its useful for your work/research to check out the paper
edit: the real-time-ness of it also has to have into equation what HW are you running your model on, obviously easier to make so on a H100 than a 3090, but these memory optimizations really help to make these models usable at all for local stuff, which is a great win i think for overall adoption/further stuff being build upon them a bit like sd-webui from automatic1111 alongside stable diffusion weights models being open sourced was a boom on image gen a couple years back
Nice! What infra do you use for inference? I'm wondering what the cost-effective platforms are for projects like this. GPUs on AWS and Azure are incredibly expensive for personal use.
We use modal (https://modal.com/). They give us GPUs on-demand, which is critical for us so we are only paying for what we are using. Pricing is about $2/hr per GPU (as a baseline of the costs). Long story short, things get VERY expensive quickly.
We just removed email signup. You can try it out now without logging in. It was easier than expected to do technically, so we just shipped a quick update.
Glad you like it! IMO, biggest things to improve on are 1) time to video response and 2) being able to generate more complicated videos (2 people talking to each other, a person walking + talking, scene cuts while talking).
I think it's not going well? I keep getting to the start a new call page, it fails, and takes me back to the live page. I assume your servers are on fire, but implementing some messaging would help ("come back later") or even better, a queueing system ("you're N in line") would help a lot.
Yes. We use Modal (https://modal.com/), and are big fans of them. They are very ergonomic for development, and allow us to request GPU instances on demand. Currently, we are running our real-time model on A100s.
I see you are paying $2/h. Shoot me an email at victor ta borg.games if your model would fit on RTX 3090 24G to get it down to $0.2/h (fellow startup).
Good question. I guess depends on how many users we get. Each users gets their own dedicated GPU. Most video generations systems (and AI systems in general) can share GPUs during generation. Since we are real time, we don't do that. So, each user minute is a GPU minute. This is the biggest driver of the cost.
feels like the next logical step for you to bring enconomies of scale is to allow users generating the video to automatically stream it to n platforms, so each gpu can be generating 1 png for many humans to watch simultaneously, with maybe 1 human driving the seat on what to generate, or more ai, idk
that's a good idea! Would be especially cool if the human is charismatic and does a good job driving the convo. Maybe we can try it out with a streamer.
Okay. I know these guys IRL. BUT, I genuinely think they have the best music model out there. Hands down. The songs are just more unique, and have a wider range of musical variation. With Suno/Udio, the songs just sounds the same after a while (just with different lyrics).
That could just be me though. I am curious what users of Udio/Suno think?
