_jeev retweeted
📢 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
_jeev retweeted
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
_jeev retweeted
🎉 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
