Clément Chadebec

Member of Techical Staff, Research at Runway

I am a member of Technical Staff, Research at Runway working on real-time world models. Previously, I was a research scientist at Jasper AI and Stability AI working on diffusion, flow and bridge models for image generation as well as distillation methods to make them run faster. I also lead the development and release of open-source projects. I have a Ph.D in applied mathematics and machine learning focusing on generative models at INRIA. In particular, I worked on Variational Autoencoders (VAE) and was mostly interested in the modelling of their latent space. I also maintain Python libraries trying to democratize those models. Find more on github.

News

Oct 12, 2026 Happy to be recognized as top reviewer at NeurIPS 2026.
Sep 28, 2026 I am joining Runway as a Member of Technical Staff, working on world models.
Sep 24, 2026 The MONET dataset was accepted to NeurIPS 2026! See the paper.
Sep 2, 2026 We built an internal 4B text-to-image model from scratch that turned out to be one of the fastest models out there (1k image generation in less than a second 🏎️). See our technical report that shares everything we learned along the way!
May 20, 2026 We release the MONET dataset, a 100M+ text-to-image dataset meticulously filtered, deduplicated, and multi-VLM re-captioned. Check out our Paper and the Dataset!
Jun 25, 2025 Our paper LBM (Latent Bridge Matching) is accepted to ICCV 2025 as a Highlight! 🎉
Mar 14, 2025 We release LBM: Latent Bridge matching for fast image-to-image translation! Check the paper out on arXiv and demo for image relighting on Hugging Face.
Dec 10, 2024 Flash Diffusion is Accepted to AAAI 2025 as an Oral Presentation! ⚡
Sep 26, 2024 We release three new Flux ControlNets (Image upscaling, depth and normals)! Check them out on Hugging Face! 🤗
Jul 3, 2024 We release a new demo combining Flash Diffusion and existing LoRAs without any fine-tuning! Check it out on Hugging Face! 🤗