The tree was uprooted by nature's fury, but Hanuman Ji's idol stood untouched. Faith doesn't bend to storms, and devotion cannot be shaken. Jai Bajrangbali! 🚩
Gemma 4 12B can now run locally on just 8GB RAM via Dynamic GGUFs.
Google's new model, Gemma 4 12B Unified supports image, audio and 256K context.
You can run and train the model via Unsloth Studio.
GGUF: https://t.co/8cL321pVDh
Guide: https://t.co/odRo9WjRpA
SAM 3D Body is a CVPR 2026 award candidate paper from @AIatMeta
model recovers a full 3D human body mesh from a single RGB image
you can run it automatically, or guide the reconstruction with masks and 2D keypoints
thx to @NielsRogge for awesome demo idea
Introducing LocateAnything-3B, a vision-language model for fast, precise visual grounding from NVIDIA. Up to 2.5x throughput improvement over prior methods. 🤖 https://t.co/28Wvz4Q7lg
Trained on 12M images, 138M+ queries, 785M bounding boxes across natural scenes, robotics, autonomous driving, GUI, and document understanding.
🎯 Object detection, phrase grounding, GUI element locating, scene text detection, document layout, pointing — all in one model.
Already integrated into NVIDIA Nemotron Nano Omni for production-grade VLM grounding.
📄 Non-commercial research use only.
NVIDIA's LocateAnything is a new vision model for grounding and detection. Very performant and accurate!
> 10x faster than Qwen3-VL
> 138M queries + 785M boxes
> GUI, OCR, docs, dense detection
> Free & open source
https://t.co/UvkH8l0QRb
What if your phone could generate or edit images in under a second?
ByteDance’s Intelligent Creation Lab presents DreamLite, a compact 0.39B parameter model that unifies text-to-image generation and editing in one network. It uses a simple trick: concatenating images side-by-side as input — blank for generation, source for editing.
DreamLite achieves GenEval 0.72 (generation) and ImgEdit 4.11 (editing), outperforming existing on-device models and rivaling server-side systems. With step distillation, it runs a 1024×1024 image in less than 1s on a Xiaomi 14.
DreamLite: A Lightweight On-Device Unified Model for Image Generation and Editing
Paper: https://t.co/Pg34jShWhg
Project: https://t.co/RKA1pc7k3O
Code: https://t.co/uecgs0YeiT
Our report: https://t.co/VGlEopobcF
📬 #PapersAccepted by Jiqizhixin
Stop using Whisper for ASR !
open sourcing Mega-ASR — the first full-scenario SOTA industrial-grade ASR model, built for the audio nobody else can crack: far-field, reverb, electrical hum, device noise, the real-world mess.
beats open + closed SOTA by 10–30% on real-world benchmarks. the harder the audio is for humans, the bigger the lead.
there's no catch; SAM3 is open source and really good
one of the things it does really well is object tracking, even in crazy complex scenes like basketball
probably my favorite computer vision model ever
Netflix just dropped a game-changer: VOID (Video Object and Interaction Deletion). 🎬🚀
It’s not just "filling a hole." VOID actually understands causality—it deletes the object AND its interaction influence (shadows, physical impacts).
I’ve decoded the Two-Pass workflow in ComfyUI (SAM 3.1 + Optical Flow).
Full deep dive & stress tests: 👇
🔗 https://t.co/D8YLVjTh29
中文版 https://t.co/KJg250MnMk
#NetflixVOID #ComfyUI #AIVideo #VideoEditing #AI视频
🚨 Paid AI video tools keep rejecting your best prompts.
This desktop app doesn’t.
One dev open-sourced a full studio 200+ models (Flux, Kling, Sora-style, Veo, lip sync, cinema controls), no filters, MIT license.
Self-hosted or bring your own keys.
Clean Electron interface.
Mac/Windows/Linux.
Already climbing fast because creators are done with subscriptions + guardrails.
Who’s installing tonight? Drop your first test below.
https://t.co/iqCGUWd3cf
A kit available on the internet turns an ordinary paper airplane made from a sheet of A4 paper into a real mini-drone.
I can’t help looking at this whimsical little thing and picturing how it could be scaled up and weaponized for use in Ukraine.
You can now parse any document with one 1.7B parameter model 🤯
It’s called dots-ocr. One system that handles text, tables, formulas, images, and PDFs across 100+ languages.
No separate OCR pipeline.
No task-specific models.
The #1 TTS is now available on-device
Running our TTS locally is something we've been working toward for a while. Today it's in private preview.
Leaderboard-topping quality, no cloud inference costs, no network dependency. Just the model on your hardware running locally.