ByteDance Seed is back with SeedVR2, now on Hugging... Face! This one-step video restoration model leverages diffusion adversarial post-training for impressive results, even on high-resolution videos.show more

NVIDIA just released a very impressive text-to-video paper. Video... Latent Diffusion Models (Video LDMs) use a diffusion model in a compressed latent space to generate high-resolution videos. Here's a brief overview of how it works: 1. Pre-train image LDM on a dataset of images. 2. Turn the image LDM into a Video LDM by adding temporal layers to model video frames. 3. Fine-tune the Video LDM on encoded video sequences to create a video generator. 4. Temporally align diffusion model upsamplers to generate high-resolution videos. 5. Validate Video LDM on real driving videos of 512x1024 resolution, achieving state-of-the-art performance. 6. Apply the approach in creative content creation with text-to-video modeling. Paper: Project:show more

INSANE...this is an Open Source Video model available for... free on Hugging Face. LongCat just dropped an amazing video avatar model that can do crazy things. And it's 100% Opensource.show more

IBM’s watsonx․ai geospatial foundation model is now openly available... on Hugging Face. Built with NASA Earth, it’s the first-ever open-source #AI foundation model built with NASA & largest geospatial model on HuggingFace. Explore more:show more

MiniMax H3 is more than a video generation model.... Its open-weight release enables developers to build on a powerful multimodal system with generation, editing, and consistency features. Supported by ComfyUI, Diffusers, SGLang Diffusion, and Hugging Face, it simplifies integration and could inspire new AI video applications.show more

We are building “Open Source Nano Banana for Video”... - here is open source demo v0.1 We are open sourcing Lucy Edit, the first foundation model for text-guided video editing! Get the model on Hugging Face 🤗, API on @FAL, and nodes on ComfyUI 🧵show more

🔬 Built with an entirely new model architecture, our... diffusion-based approach uses 6B+ parameters and leverages the latest NVIDIA hardware. This is the most dynamic and wide-ranging video enhancing method we’ve ever created, setting a new standard for AI video restoration. Videos degrade due to compression artifacts, blurring, aliasing, noise, atmospheric distortion, missing pixels, etc. Each frame suffers from unique types of corruption, making AI video restoration a highly challenging task. Our technology solves this complexity by analyzing hundreds of frames to accurately restore details, delivering unmatched detail recovery combined with unparalleled temporal consistency.show more

This is RICULOUSLY good, TRELLIS 3D Generation model by... Microsoft! 🔥 Generate high-quality 3D assets from text or image prompts. Supports various formats like Radiance Fields, 3D Gaussians, and meshes Available for FREE on Hugging Face!show more

seedance 2.0 + my v2 AI UGC prompting system... is giving insane results i spent the last 24 hours generating over 200 seedance 2.0 videos to figure out the best prompting framework system for AI UGC this video was made with 1 prompt and 1 tool, no editing was done to the video this was just a prompt to a video this is by far the best model i've ever used and the craziest part is that it can be fully automated this is the first time we can actually automate high quality ai ugc at this level bytedance owns tiktok so this model is trained on millions of high quality ugc videos. you just need to know how to extract that and call it in your prompt. we are so early... it's insaneshow more

introducing Seedance 2.0. the world's most powerful video model,... supporting text, image, video, and even audio as input, and capable of producing long multi-shot videos with high quality. now available for everyone.show more

Seedance 2.0 is now live in ComfyUI for everyone.... This state-of-the-art model brings us one step closer to production-quality video generations.show more

This massive ship model with the size of a... forearm is printed in one piece on Jupiter 2, and the 16K resolution ensures sharp details on the ship body and deck🧐🚢 Printed with: 3D model: Flying Dutchman from Gambodyshow more

Brand system in video generation I created this video... using 1 brand guide, 1 brand Skill, and 1 video model AI is now turning product videos into commodity, so brands can capture attention more effectively However, harnessing video generation isn't straightforward without specifically preparing your video model to generate brand-locked content I outline this step-by-step process in the Article below - read on and save it for later:show more

It's high time we bring back Durban music now,... Gom. Vele, and Amapiano are slowly fading away now 3 Step is already irritating with the same sound on all songsshow more

🚀 LongCat-Video Now Open-Source: Text/Image-to-Video + Video Continuation in... One Model 🏆 Text/Image-to-Video Performance Hits Open-Source SOTA 🎬 Minutes-Long High-Quality Videos: No Color Drift/Quality Loss (Industry-Standout) ⚙ 13.6B Params | Strong Open-Source DiT-Based Unified Multitask Video Base Model ⚡ C2F Pipeline + Block Sparse Attention: 720p/30fps Video in Minutes 🤗 Open-Source Links: GitHub： Hugging Face： Project Page：show more

The new video tutorial about painting the back of... Commissar Yarrick is now available on my Patreon. Thanks to that you can read a step-by-step PDF tutorial, analyze high quality photos of each step, and then watch the process of painting them on the video #warhammer #warhammer40kshow more

You can now route each request to the "fastest"... ⚡ or "cheapest" 💸 provider with Hugging Face Inference Providers in Copilot Chat on Visual Studio Code!🤗 For each model, you can explicitly choose "cheapest" when price matters - or "fastest" when throughput is the priority. thanks to Simon Brandeis for shipping this!show more

This #CVPR2026 paper from our research team is trending... #1 on Hugging Face 🤗 Meet LocateAnything: a vision-language detection model that rethinks bounding box prediction. For AI agents and robots, “seeing” is only useful if a model can pinpoint where something is fast enough to act. Trained on 138M high-quality samples, LocateAnything decodes bounding boxes in parallel instead of one coordinate at a time, improving localization accuracy while dramatically increasing throughput for visual grounding and detection. Project page:show more

🚀 Self-speculation brings 6.75x real speedup for LLM generation... with SGLang inference! Same model drafts future tokens in Diffusion mode → then verifies them in AR (causal) mode. One model and one KV cache. Just different attention masks. Thanks to perfect alignment, we get 2× longer acceptance lengths than MTP techniques (Eagle-3, MTP, dFlash). We run 2 forward passes… but the 2× higher acceptance means we break even - and with zero overhead from extra drafter, KV cache, or LM head that comes with MTP - those are not free. Last week we released Nemotron-Labs-Diffusion + Tri-mode LLMs! We did continued pre-training on Ministral-3 models by switching attention patterns (block causal bidirectional). Result: one model that runs AR mode, Diffusion mode, and Self-Speculation. Diffusion mode already shows high benchmark accuracy - excited to see what happens when someone beats left-to-right acceptance! 🔥 Github: Paper: SGLang inference: Try the models on HF:show more

😶‍🌫️ Late night experiment: high-resolution, volumetric cloud rendering in... Unity URP. Doing R&D for my fog, too. Lighting is rather basic, ~I just started on this one.show more