Today we released the code for our CVPR 2026... paper, Flowception. Flowception bridges fully bidirectional sequence modeling and autoregressive generation by inserting frames via learned order, then denoising them with continuous flow. Website: Code:show more

We have released the code and weights for our... #CVPR2023 paper "Avatars Grow Legs: Generating Smooth Human Motion from Sparse Tracking Inputs with Diffusion Model"! code: abs: project: The demo is below:show more

(1/n) 🚀 With FastVideo, you can now generate a... 5-second video in 5 seconds on a single H200 GPU! Introducing FastWan series, a family of fast video generation models trained via a new recipe we term as “sparse distillation”, to speed up video denoising time by 70X! 🖥️ Live demo: (Thanks to @gmicloud for the support!) 🔗 Blog: 🔓 We fully open-source our models, code, and data with Apache-2.0 licensesshow more

🎉 We just released code, data and model for... our #SIGGRAPH2023 work "CT2Hair"!! CT2Hair achieves fully automatic reconstruction of production-ready hair strands from computed tomography (CT) scans!! Code&Data: Project:show more

Today, we are open sourcing the KittyCAD Modeling App... (KCMA) a hybrid CAD modeling app that combines traditional point-and-click and code modeling. This is an alpha release and we would love for you to try it out and give us feedback!show more

Vibe Code Application Fully Generation Content Apps

DimensionX: Create Any 3D and 4D Scenes from a... Single Image with Controllable Video Diffusion TL;DR: Create 3/4DGS from Video Diffusion Note: Some first inference code released (not all yet). Contributions (cited): • We present DimensionX, a novel framework for generating photorealistic 3D and 4D scenes from only a single image using controllable video diffusion. • We propose ST-Director, which decouples the spatial and temporal priors in video diffusion models by learning (spatial and temporal) dimension-aware modules with our curated datasets. We further enhance the hybriddimension control with a training-free composition approach according to the essence of video diffusion denoising process. • To bridge the gap between video diffusion and real-world scenes, we design a trajectory-aware mechanism for 3D generation and an identity-preserving denoising approach for 4D generation, enabling more realistic and controllable scene synthesis. • Extensive experiments manifest that our DimensionX delivers superior performance in video, 3D, and 4D generation compared with baseline methods.show more

My first PhD paper!🎉We learn *diffusion* models for code... generation that learn to directly *edit* syntax trees of programs. The result is a system that can incrementally write code, see the execution output, and debug it. 🧵1/nshow more

The Stable Video Diffusion model just dropped 🔥 The... new model supports: – Text-to-Video – Image-to-Video – 14 or 25 frames at 576 x 1024 – Multi-View Generation – Frame Interpolation – 3D Scene Understanding – Camera Control via LoRA Paper: Code: SVD model: SVD-XT model:show more

RISC Zero is now fully open source. 🟡 We... released our entire circuit source code and compiler tech. Empowering developers, partners, and auditors worldwide to confidently build, verify, and innovate.show more

VALENTINES offer, because we love our traders💛 22% off... everything on our website Use the code: "22LOVE"show more

Cut on our first early game today!!! But today... we are winning on the rest code! Just stay with me!!!!show more

Today, we are releasing Stable Video Diffusion, our first... foundation model for generative AI video based on the image model, Stable Diffusion. As part of this research preview, the code, weights, and research paper are now available. Additionally, today you can sign up for our waitlist to access a new upcoming web experience featuring a Text-To-Video interface. To access the model & sign up for our waitlist, visit our website here:show more

Just discovered Dekal via Timothée Peter's video modeling a... spherical five-bar linkage in code. What makes it interesting: > Code-based kinematic design with a differentiable simulation engine > Describe mechanisms in code, instantly get workspace mapping, reachability analysis, and static load testing across every joint > Idea to kinematic validation ASAP; then push to CAD Its a cool project built by a mechanical engineer frustrated with iteration speed in existing tools.show more

Searching for files in large projects has never been... easier 🚀 Check out the real-time search results for the #vscode project, which has thousands of files (and yes, we use Visual Studio Code to write Visual Studio Code). You can easily switch between fuzzy matching and continuous matching too!show more

Get your first two Powerball tickets free with code... FREEBIE on the Jackpocket app. Download today and order your tickets!show more

We’re releasing model weights for our 8B- parameter Dynamic... Byte Latent Transformer, an alternative to traditional tokenization methods with the potential to redefine the standards for language model efficiency and reliability. Learn more about how Dynamic Byte Latent Transformer is paving the way for groundbreaking developments in the field of language modeling. Read the research paper, and download the model and code.show more

Found and destroyed the code responsible for Attraction Flow... in KH3. Disney world is fuggin CLOSED Gonna start adding custom code and see if I can repurpose the Attraction Flow gimmick into something elseshow more

Show-o One Single Transformer to Unify Multimodal Understanding and... Generation discuss: We present a unified transformer, i.e., Show-o, that unifies multimodal understanding and generation. Unlike fully autoregressive models, Show-o unifies autoregressive and (discrete) diffusion modeling to adaptively handle inputs and outputs of various and mixed modalities. The unified model flexibly supports a wide range of vision-language tasks including visual question-answering, text-to-image generation, text-guided inpainting/extrapolation, and mixed-modality generation. Across various benchmarks, it demonstrates comparable or superior performance to existing individual models with an equivalent or larger number of parameters tailored for understanding or generation. This significantly highlights its potential as a next-generation foundation model.show more

Today, we begin our final ascent to SORCE CODE ⚡️