_jeev

📢 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/jaspe… 💻: github.com/gojasper/nano-… 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

@onurxtasar congrats @onurxtasar !!

To position the 3D model, camera, and area light, we utilized the spherical coordinate system, as illustrated in the figure below. Theta and phi denote the polar and azimuthal angles, respectively. The variable "s" defines the size of the area light, determining the softness of the shadows it produces.

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/controllable-s… - Research paper: arxiv.org/abs/2412.11972 - Demo : shadow-generation-demo.jasper.ai - Public test set on @huggingface : huggingface.co/datasets/jaspe… @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