Загрузка видео...

Не удалось загрузить видео

На главную

Nvidia presents Fast-dLLM v2 Efficient Block-Diffusion LLM

_akhaliq's profile picture

AK

430,060 subscribers

18,753 просмотров • 7 месяцев назад •via X (Twitter)

Наука и технологии
LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

Fast-dLLM accelerates multi-modal diffusion VLM LLaDA-V 10 times! 🚀
0:59

Fast-dLLM accelerates multi-modal diffusion VLM LLaDA-V 10 times! 🚀

Enze Xie

11,314 просмотров • 9 месяцев назад

Nvidia presents Articulated Kinematics Distillation from Video Diffusion Models
4:11

Nvidia presents Articulated Kinematics Distillation from Video Diffusion Models

AK

39,189 просмотров • 1 год назад

Just found the dLLM library to create Diffusion Language Models It's still early but it's insanely fun to experiment with diffusion (training, inference, eval) dLLM has the potential of becoming the main library for diffusion LLMs
0:26

Just found the dLLM library to create Diffusion Language Models It's still early but it's insanely fun to experiment with diffusion (training, inference, eval) dLLM has the potential of becoming the main library for diffusion LLMs

Maxime Labonne

75,421 просмотров • 6 месяцев назад

We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.
0:56

We’re excited to launch Mercury, the first commercial-scale diffusion LLM tailored for chat applications! Ultra-fast and efficient, Mercury brings real-time responsiveness to conversations, just like Mercury Coder did for code.

Inception

90,673 просмотров • 11 месяцев назад

Block Diffusion Interpolating Between Autoregressive and Diffusion Language Models
0:23

Block Diffusion Interpolating Between Autoregressive and Diffusion Language Models

AK

160,553 просмотров • 1 год назад

Speed and quality can finally coexist in diffusion-based language generation. Introducing DiDi-Instruct, a Discrete Diffusion Divergence Instruct method that distills a pre-trained discrete diffusion language model (dLLM) into a few-step student for ultra-fast generation. Built on integral KL-divergence minimization, DiDi-Instruct achieves up to 64× faster decoding, surpasses both its teacher and GPT-2, and cuts training time by 20×. Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct Paper: Code: Project: Our report: 📬 #PapersAccepted by Jiqizhixin
0:40

Speed and quality can finally coexist in diffusion-based language generation. Introducing DiDi-Instruct, a Discrete Diffusion Divergence Instruct method that distills a pre-trained discrete diffusion language model (dLLM) into a few-step student for ultra-fast generation. Built on integral KL-divergence minimization, DiDi-Instruct achieves up to 64× faster decoding, surpasses both its teacher and GPT-2, and cuts training time by 20×. Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct Paper: Code: Project: Our report: 📬 #PapersAccepted by Jiqizhixin

机器之心 JIQIZHIXIN

18,126 просмотров • 7 месяцев назад

Nvidia announces Stable Diffusion Models Accelerated with NVIDIA TensorRT featuring a1111 Gradio demo demo:
1:22

Nvidia announces Stable Diffusion Models Accelerated with NVIDIA TensorRT featuring a1111 Gradio demo demo:

AK

112,158 просмотров • 2 лет назад

Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page: enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.
1:01

Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page: enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.

AK

161,673 просмотров • 2 лет назад

Nvidia presents Align Your Steps Optimizing Sampling Schedules in Diffusion Models Diffusion models (DMs) have established themselves as the state-of-the-art generative modeling approach in the visual domain and beyond. A crucial drawback of DMs is their slow sampling speed,
0:34

Nvidia presents Align Your Steps Optimizing Sampling Schedules in Diffusion Models Diffusion models (DMs) have established themselves as the state-of-the-art generative modeling approach in the visual domain and beyond. A crucial drawback of DMs is their slow sampling speed,

AK

32,888 просмотров • 2 лет назад

"An hour of planning can save you 10 hours of doing." ✨📝 Planned Diffusion 📝 ✨ makes a plan before parallel dLLM generation. Planned Diffusion runs 1.2-1.8× faster than autoregressive and an order of magnitude faster than diffusion, while staying within 0.9–5% AR quality.
0:21

"An hour of planning can save you 10 hours of doing." ✨📝 Planned Diffusion 📝 ✨ makes a plan before parallel dLLM generation. Planned Diffusion runs 1.2-1.8× faster than autoregressive and an order of magnitude faster than diffusion, while staying within 0.9–5% AR quality.

Daniel Israel

38,699 просмотров • 7 месяцев назад

FAST… EFFICIENT
0:32

FAST… EFFICIENT

bum

30,388 просмотров • 2 месяцев назад

Nvidia presents Edify 3D! The method can generate high-quality 3D assets from text descriptions. It uses a diffusion model to create detailed quad-mesh topologies and high-resolution textures in under 2 minutes.
0:43

Nvidia presents Edify 3D! The method can generate high-quality 3D assets from text descriptions. It uses a diffusion model to create detailed quad-mesh topologies and high-resolution textures in under 2 minutes.

Dreaming Tulpa 🥓👑

39,338 просмотров • 1 год назад

FP4 Explore, BF16 Train Diffusion Reinforcement Learning via Efficient Rollout Scaling paper:
0:35

FP4 Explore, BF16 Train Diffusion Reinforcement Learning via Efficient Rollout Scaling paper:

AK

12,761 просмотров • 1 месяц назад

Google presents LightLab Controlling Light Sources in Images with Diffusion Models
2:29

Google presents LightLab Controlling Light Sources in Images with Diffusion Models

AK

122,958 просмотров • 1 год назад

The EASIEST way to finetune LLAMA-v2 (or any other LLM) on local machine!
17:25

The EASIEST way to finetune LLAMA-v2 (or any other LLM) on local machine!

abhishek

164,097 просмотров • 2 лет назад

Google presents CAT4D Create Anything in 4D with Multi-View Video Diffusion Models
2:12

Google presents CAT4D Create Anything in 4D with Multi-View Video Diffusion Models

AK

61,949 просмотров • 1 год назад

BlockVid Block Diffusion for High-Quality and Consistent Minute-Long Video Generation
1:00

BlockVid Block Diffusion for High-Quality and Consistent Minute-Long Video Generation

AK

19,864 просмотров • 6 месяцев назад

Nvidia presents LLaMA-Mesh Unifying 3D Mesh Generation with Language Models
1:04

Nvidia presents LLaMA-Mesh Unifying 3D Mesh Generation with Language Models

AK

113,463 просмотров • 1 год назад

Nvidia just announced Align Your Gaussians Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models
0:22

Nvidia just announced Align Your Gaussians Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models

AK

131,297 просмотров • 2 лет назад