(6/7) On day one, the community ran it everywhere: RTX 4070 12 GB, 16 GB cards, RTX 3090, 4090 and 5090, mostly in @ComfyUI and many from Japan 📷 Thank you @DeepForest_Inc @OrctonAI @sep_is_heim @realrebelai and everyone sharing what they make! Links in the blog!

(1/7) FastVideo FastH3 Omni goes local on DGX Spark, RTX GPUs, and Apple MLX 🚀 - FastH3 Omni, a 5 s 480p clip from a photo and a prompt takes ~3 min. On two Sparks, ~2 min - FastH3 T2AV is 52.6 s on one Spark, 30.7 s on two Sparks Blog: haoailab.com/blogs/fasth3-om… Cookbook: haoailab.com/FastVideo/cookb… HF 🤗 huggingface.co/collections/F… @NVIDIARTXSpark @NVIDIAAI @MiniMax_AI Every clip in this video was generated on NVIDIA DGX Spark. 8-step NVFP4 checkpoint.

Since day one at Nuva Lab, our core mission has been democratizing creation, using new AI productivity to amplify creativity. For years it was a long, painful wait as we worked our way from text to images to video. We suffered through weak models, skepticism, ai slop hate, closed ecosystems, broken tools, and unit economics too broken to ship at scale. But, the pieces are finally coming together now. Creative agents are capable enough, open-source video models crossed the quality tipping point, and the open source ecosystem start to wrk. I had pretty much lost interest in grinding on infra, yet I found myself picking my old infra and open-source habits back up to help push the industry forward. Someone had to do it, we wanted to, and we happened to know how to make it happen. Today, with the FastVideo team, we open-sourced FastH3 Omni as promised after polishing it for a long time. Post-trained from MiniMax H3, it runs 5.6–11.9x faster than the original on 8 NVIDIA GB200 GPUs, and you can deploy it on consumer GPUs. A lot of passionate work went into this behind the scenes across data, training, algorithms, inference, compute, and partnerships, alongside dealing with some bizarre closed-source companies built on open source that tried to trash our work. I made this video in two afternoons using FastH3 Omni paired with the creative agent we have built video with for a long time. I made it shot by shot in a fully AI-native way, without manual editing or wiring up node-graph spaghetti workflows. For the first time, I ran the exact creation method I imagined years ago without any closed ecosystem limits. So at the end of the video, I put my own Twitter handle in the credits as "Transmedia Director." This video has plenty of flaws. Still, it hits me hard seeing that one person can finally make something like this, with this method, this model, and at this cost. Maybe our work has changed the world a little bit and brighten up humanity. Behind this release, there's one group of people building open-source video frameworks year after year, and another group of folks that learned and worked with indie creators of all sizes to top IP studios, and even sometimes get by the days by counting how many fewer people online dmed me "I wish your AI slop die". Because open source must win.

As promised, FastVideo open-sources @MiniMax_AI FastH3 Omni, training code included! 🚀 - Real-time gen @ 12x faster on NVIDIA Blackwell - NVFP4/FP8 for Spark + RTX! - ComfyUI day-0 Collab with @NVIDIAAI , Nuva Lab @nuvalab and Reactor @reactorworld Open source must win! ♥️

As promised, FastVideo open-sources @MiniMax_AI FastH3 Omni, training code included! 🚀 - Real-time gen @ 12x faster on NVIDIA Blackwell - NVFP4/FP8 for Spark + RTX! - ComfyUI day-0 Collab with @NVIDIAAI , Nuva Lab @nuvalab and Reactor @reactorworld Open source must win! ♥️

As promised, FastVideo open-sources @MiniMax_AI FastH3 Omni, training code included! 🚀 - Real-time gen @ 12x faster on NVIDIA Blackwell - NVFP4/FP8 for Spark + RTX! - ComfyUI day-0 Collab with @NVIDIAAI , Nuva Lab @nuvalab and Reactor @reactorworld Open source must win! ♥️

(1/6) The all-new FastVideo FastH3-QAD-v2 and the all-new H3 NVFP4 VAE decoders are here! 🚀🚀 This entire 768p video was generated on two DGX Sparks, using QAD-v2 and both new decoders. 8-step video + audio, QAD weights 💾 @NVIDIARTXSpark @NVIDIAAI @MiniMax_AI