Загрузка видео...

Не удалось загрузить видео

На главную

Look at the speed at which this model generates video! Imagine a chat interface that uses real-time video streaming to talk to us instead of text. We are getting close!

svpino's profile picture

Santiago

452,728 subscribers

38,610 просмотров • 1 месяц назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Grok Imagine Video 1.5 just released and the capabilities are getting insane This video was generated by Grok Imagine Look at the realism Listen to the sound Look at the details in the video
0:10

Grok Imagine Video 1.5 just released and the capabilities are getting insane This video was generated by Grok Imagine Look at the realism Listen to the sound Look at the details in the video

X Freeze

13,077 просмотров • 1 месяц назад

Having a lot of fun. We are really getting close to real-time AI rendering.
0:19

Having a lot of fun. We are really getting close to real-time AI rendering.

gabriela trueba

16,750 просмотров • 18 дней назад

Today, we are releasing Stable Video Diffusion, our first foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:
0:20

Today, we are releasing Stable Video Diffusion, our first foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:

Stability AI

1,024,598 просмотров • 2 лет назад

an early text-to-video test render from our proprietary ai model. trained for line discipline, colour fidelity, and brand logic. storytelling at the speed of culture.
0:14

an early text-to-video test render from our proprietary ai model. trained for line discipline, colour fidelity, and brand logic. storytelling at the speed of culture.

burnt toast

95,327 просмотров • 1 год назад

Francesca Hong's opponent, David Crowley, says of data centers that we have to "look at the possible opportunity of us getting a piece of it."
0:19

Francesca Hong's opponent, David Crowley, says of data centers that we have to "look at the possible opportunity of us getting a piece of it."

Ken Klippenstein

270,128 просмотров • 8 дней назад

> This is a prompt showing that text works well in Omni. The exact text of this prompt is shown verbatim in this ambient video. The text appears one sentence at a time, like at the beginning of a movie. The backdrop is flying through a blue sky.
0:10

> This is a prompt showing that text works well in Omni. The exact text of this prompt is shown verbatim in this ambient video. The text appears one sentence at a time, like at the beginning of a movie. The backdrop is flying through a blue sky.

fofr

13,069 просмотров • 1 месяц назад

Grok video is getting really good at photorealistic outputs. IMO, this is one of the hardest styles to nail because our brains are so attuned to anything that looks "wrong." And the speed of progress here is kind of unreal.
0:15

Grok video is getting really good at photorealistic outputs. IMO, this is one of the hardest styles to nail because our brains are so attuned to anything that looks "wrong." And the speed of progress here is kind of unreal.

Justine Moore

24,621 просмотров • 9 месяцев назад

New AI video model MotionStream lets you control motion in real time. This is a glimpse at what all video models will allow you to do in the future.
0:19

New AI video model MotionStream lets you control motion in real time. This is a glimpse at what all video models will allow you to do in the future.

Dan Scalco

28,162 просмотров • 9 месяцев назад

Just two months ago, we were on the verge of letting go of a customer that we had been serving for more than two years. The prices were super competitive as they were procuring these springs from China. According to our cost calculations, we would have to sell them these springs at our breakeven price point. We would not be making any profit from their orders. The volumes were huge and we decided to take up the challenge. In manufacturing, one of the very important metric that your product cost depends on is cycle time. The speed at which we are able to process that part within the desired tolerance. Higher the speed at which you can manufacture, lower the cost of making that component. We could only manage 150 pcs/minute on our imported machines. At this speed, it was unviable for us. It would only make sense for us to continue if we were somehow able to manufacture this spring at a minimum of 200 pcs/minute. We were far apart and it seemed we wouldn’t be able to reach that goal. We were on the verge of giving up after two years of persistent effort in increasing our speed. Today, we manufactured that same spring on the CNC machines that we built in-house at a whopping 220 pcs/minute! We went from almost letting go off that customer to now asking that very same customer to increase our order volumes! First video is our imported machine at 150 pcs/minute. The second video is our in-house machine at 220 pcs/minute.
0:24

Just two months ago, we were on the verge of letting go of a customer that we had been serving for more than two years. The prices were super competitive as they were procuring these springs from China. According to our cost calculations, we would have to sell them these springs at our breakeven price point. We would not be making any profit from their orders. The volumes were huge and we decided to take up the challenge. In manufacturing, one of the very important metric that your product cost depends on is cycle time. The speed at which we are able to process that part within the desired tolerance. Higher the speed at which you can manufacture, lower the cost of making that component. We could only manage 150 pcs/minute on our imported machines. At this speed, it was unviable for us. It would only make sense for us to continue if we were somehow able to manufacture this spring at a minimum of 200 pcs/minute. We were far apart and it seemed we wouldn’t be able to reach that goal. We were on the verge of giving up after two years of persistent effort in increasing our speed. Today, we manufactured that same spring on the CNC machines that we built in-house at a whopping 220 pcs/minute! We went from almost letting go off that customer to now asking that very same customer to increase our order volumes! First video is our imported machine at 150 pcs/minute. The second video is our in-house machine at 220 pcs/minute.

Vishakh Ranotra

19,933 просмотров • 11 месяцев назад

“At this point, I need a jet ski. I have to get out of here as soon as possible. Look at what we are going through. Look at my house.” — A woman at Tse Addo shares a video showing the condition of her area and the extent to which her home has been flooded following a heavy downpour in the Greater Accra Region
0:13

“At this point, I need a jet ski. I have to get out of here as soon as possible. Look at what we are going through. Look at my house.” — A woman at Tse Addo shares a video showing the condition of her area and the extent to which her home has been flooded following a heavy downpour in the Greater Accra Region

𝐀𝐒𝐊

97,072 просмотров • 2 месяцев назад

The world's #1 ranked video model is now on Venice. ByteDance's Seedance 2.0 generates up to 15 seconds of cinematic video with native lip-synced dialogue, synchronized sound effects, and physics-accurate motion. Text-to-video. Image-to-video. Reference-to-video. Examples 🧵
0:15

The world's #1 ranked video model is now on Venice. ByteDance's Seedance 2.0 generates up to 15 seconds of cinematic video with native lip-synced dialogue, synchronized sound effects, and physics-accurate motion. Text-to-video. Image-to-video. Reference-to-video. Examples 🧵

Venice

98,459 просмотров • 4 месяцев назад

“Look at us, Hann! Look at it, look at that! We did it! Took us 23 years but we did it.” The fact that Hann is the one he always goes up to for this, because Hann’s the one who asked him to be in the band… it gets me every time 😭
0:10

“Look at us, Hann! Look at it, look at that! We did it! Took us 23 years but we did it.” The fact that Hann is the one he always goes up to for this, because Hann’s the one who asked him to be in the band… it gets me every time 😭

Marta ⎕

45,030 просмотров • 1 год назад

Gemini Omni Flash - monalisa edition 🤩 This model is so coherent in arts and science at the same time zooming in monalisa showing paints to the molecules to atom with coherent text 🤯 omg we are so back and the speed , super hyped for omni pro
0:10

Gemini Omni Flash - monalisa edition 🤩 This model is so coherent in arts and science at the same time zooming in monalisa showing paints to the molecules to atom with coherent text 🤯 omg we are so back and the speed , super hyped for omni pro

Chetaslua

162,059 просмотров • 2 месяцев назад

We're excited to power LemonSlice's new video agent product. Turn your real-time voice agent into a video agent using a single photo. The underlying model—which autoscales on Modal 😉—streams infinite-length talking video at 20fps using a single GPU.
0:17

We're excited to power LemonSlice's new video agent product. Turn your real-time voice agent into a video agent using a single photo. The underlying model—which autoscales on Modal 😉—streams infinite-length talking video at 20fps using a single GPU.

Modal

17,225 просмотров • 8 месяцев назад

When see you those «spots» at video you need to understand — they are real tanks and IFVs. For now we gathered 700/4000$. And we need your support against Russian infiltrated infantry that are getting closer to us. PP: osint4ua@gmail.com WFP:
0:11

When see you those «spots» at video you need to understand — they are real tanks and IFVs. For now we gathered 700/4000$. And we need your support against Russian infiltrated infantry that are getting closer to us. PP: [email protected] WFP:

Kriegsforscher

22,118 просмотров • 8 месяцев назад

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”
0:18

Create a 3D model from a single image, set of images or a text prompt in < 1 minute 😮‍💨 This new AI paper called CAT3D shows us that it’ll keep getting easier to produce 3D models from 2D images — whether it’s a sparser real world 3D scan (a few photos instead of hundreds) or your favorite 2D image generator like Midjourney (just an image). How does this magic work? “This architecture is similar to video diffusion models, but with camera pose embeddings for each image instead of time embeddings. The generated views are passed into a robust 3D reconstruction pipeline to create the 3D representation (Zip-NeRF or 3DGS)”

Bilawal Sidhu

92,867 просмотров • 2 лет назад

See how 10 Naira is driving at high speed while on a video call with Kolu at the same time. Another video to remind you why you should always look carefully before crossing the road.
0:17

See how 10 Naira is driving at high speed while on a video call with Kolu at the same time. Another video to remind you why you should always look carefully before crossing the road.

Kemmy

58,523 просмотров • 16 дней назад

Ghostty Devlog 006, speed edition 🚀. An intro to SIMD, clever unicode lookup algorithms, and CSI parsing fast-paths all in order to make Ghostty wicked fast. The video below compares the plain-text throughput of Ghostty to another popular macOS terminal. Note that this video only showcases one particular type of speed. There are many other ways to measure the speed of a terminal and I note that in the devlog. The video is a very real world scenario though (i.e. tailing loud log output). 👻
0:10

Ghostty Devlog 006, speed edition 🚀. An intro to SIMD, clever unicode lookup algorithms, and CSI parsing fast-paths all in order to make Ghostty wicked fast. The video below compares the plain-text throughput of Ghostty to another popular macOS terminal. Note that this video only showcases one particular type of speed. There are many other ways to measure the speed of a terminal and I note that in the devlog. The video is a very real world scenario though (i.e. tailing loud log output). 👻

Mitchell Hashimoto

46,089 просмотров • 2 лет назад

A view of the US Mexico Border from Texas “It’s getting real at the border” 🔥 To be clear, this is EXACTLY what we voted for!!
0:17

A view of the US Mexico Border from Texas “It’s getting real at the border” 🔥 To be clear, this is EXACTLY what we voted for!!

Wall Street Apes

64,362 просмотров • 1 год назад