To kick-off the JAX diffusers event we are having a series of talks for three days! 👨‍🎤🧑‍🎤👩‍🎤 On 14th of April we will be hosting Tim Salimans from Google Brain, Huiwen Chang from Google Research and Sabrina J. Mielke from John Hopkins University 🤩 🔔 Set your reminders here not to

Join us at ICML'23 to discuss deployment challenges for Generative AI with this amazing set of invited speakers! CFP: tinyurl.com/deployinggener… Deadline: May 19th, 2023 Anywhere on Earth (AoE) Notifications: June 23rd, 2023 Workshop date: July 28, 2023

We will be presenting our #CVPR2025 Award Candidate paper On Distillation of Guided Diffusion Models tomorrow Wed 21 Jun 4:30-6 p.m. at West Building Exhibit Halls ABC 186! Super honored that our paper is selected as one of the 12 award candidates! 🙏 #CVPR2023

New work on distillation of diffusion models 📢 Getting closer to zero loss in quality than ever before, while needing only 4-16 sampling steps. Bonus content: a new deterministic sampler - aDDIM - generalizing DDIM and performing substantially better!

📢 Excited to share EM Distillation (EMD), a maximum likelihood method that distills pretrained diffusion models to one-step generators. EMD gracefully interpolates between mode-seeking and mode-covering KL to better capture the teacher's distribution. arxiv.org/abs/2405.16852

My team in Amsterdam is hiring a research scientist with experience in generative modeling. Please apply if you want to help us build the next generation of Google's generative models! boards.greenhouse.io/deepmind/jobs/…

🚀 Interested in time series generation?⏲️Excited to share my Google DeepMind Amsterdam student researcher project: Rolling Diffusion Models! arxiv.org/abs/2402.09470 (to appear at ICML 2024) Thanks for the great collaboration Emiel Hoogeboom, Jonathan Heek, Tim Salimans! 🧵1/4

We are hiring on the Generative Media team in London: boards.greenhouse.io/deepmind/jobs/… We work on Imagen, Veo, Lyria and all that good stuff. Come work with us! If you're interested, don't delay -- apply before 5PM tomorrow (UK time).

Is pixel diffusion passé? In 'Simpler Diffusion' (arxiv.org/abs/2410.19324) , we achieve 1.5 FID on ImageNet512, and SOTA on 128x128 and 256x256. We ablated out a lot of complexity, making it truly 'simpler'. w/ @tejmensink Jonathan Heek Kay Lamerigts Ruiqi Gao Tim Salimans

A common question nowadays: Which is better, diffusion or flow matching? 🤔 Our answer: They’re two sides of the same coin. We wrote a blog post to show how diffusion models and Gaussian flow matching are equivalent. That’s great: It means you can use them interchangeably.

On my way to Vancouver for NeurIPS. Looking forward to catching up with everyone and sharing the work we've been doing in making diffusion models fast and efficient!

Are you a current PhD student working in generative modeling? Our team at GDM Amsterdam is looking to hire a student researcher / intern to help us develop the next generation of models. Apply before 𝐃𝐞𝐜𝐞𝐦𝐛𝐞𝐫 𝟏𝟑! google.com/about/careers/…

Veo 2 and the new Imagen 3 update just dropped. Amazing effort by the team!!

Really awesome to see the full potential of real-time generative modeling being realized! Helping to enable this has been a driving goal of our research in efficient generative models for a long time!