📢 New @heyjasper release ! 📢 MONET 🌸 : An Apache2.0 deduped and recaptioned dataset of 105M samples unlocking reproducible text-to-image research. Nano T2I 🖌️ : A codebase to train your own T2I model 🤗 @huggingface: huggingface.co/datasets/jasp… 💻: github.com/gojasper/nano-t2i Very excited about this new release, pushing the boundaries of open and reproducible T2I research. Congrats to the team! Benjamin Aubin Gonzalo Quintana @onurxtasar @UlaLaParis @_jeev2 @dh7net @clipdropapp @heyjasperai

We (@heyjasperai / @clipdropapp research team) are excited to announce the release of our latest research project on fast and controllable shadow generation. Our 1-step diffusion model can create realistic shadows for object images in under a second ⚡️, while giving you precise control over shadow direction, softness, and intensity 🔨. - Project page: gojasper.github.io/controlla… - Research paper: arxiv.org/abs/2412.11972 - Demo : shadow-generation-demo.jaspe… - Public test set on @huggingface : huggingface.co/datasets/jasp… @CChadebec @benjamin_aubin_ @dh7net

🎉 Very happy to share that @heyjasperai's very first research paper, Flash Diffusion just got accepted to #AAAI. This paper introduces a novel and flexible distillation method designed to speed up image generation with diffusion models. 👉 Paper: arxiv.org/abs/2406.02347