Going live with @ComfyUI on Aug 7 at 10am PT to put H3 through its paces, in real time. → Open weights, native stereo audio, up to 2K/15s clips → Live demo → How H3 got small enough to run on consumer hardware → ComfyUI workflow templates, ready to use Pull up and watch us build. 🤫 #MiniMaxH3#

SN50 is REALLY FAST. And you don't have to just take our word for it. ⚡️ @SemiAnalysis independently benchmarked SN50 running @MiniMax_AI M2.7 at ~800 t/s. That's consistent with the 800+ t/s we demonstrated at @RaiseSummit, validated by @ArtificialAnlys. Fast inference just got another third-party stamp of approval.

Three categories. Three #1s#. 🥇 MiniMax H3 leads Multi-Image to Video, Image to Video, and Video Editing on @DesignArena Frontier performance, without the frontier price tag. And the weights are open. 😌

None of this was us. Day 1 (and the first 48 hours) belonged to the open-source community: Generate with it @ComfyUI — native support + official quantized builds, Day 0 Diffusers — the reference Python pipeline, Day 0 @deepbeepmeep — WanGP v12.41, the 5-6 GB ultra-low VRAM path, Day 1 @pipenetwork — Phosphene + MiniMax-H3-MLX (one-click Mac app + MLX engine), Day 1 @blizaine — Maestro v1.5.5 (one-click GUI + prompt enhancer), Day 2 @ModelScope2022 — DiffSynth-Studio NF4, drops floor to 7-8 GB, Day 2 Serve it @sgl_project — SGLang Diffusion, official cookbook (2×5090 / RTX 6000), Day 0 @vllm_project — vLLM-Omni, OpenAI-compatible video endpoint, Day 0 Train it @ostrisai — AI Toolkit, first trainer (T2V + I2V) 14 h after release, Day 1 @ModelScope2022 — DiffSynth-Studio training scripts (NF4 low-memory), Day 2 @kohya_tech — Musubi Tuner, third trainer (48 GB → shrinking), Day 2 the first community LoRAs running on pruned INT8, Day 2 Speed it up @nvidia SANA team — Sol Engine, 3.95× end-to-end, no quality trade-off, Day 1 sol-attn · sage-attn · EasyCache — 20-35 % each on consumer cards (and they stack), Day 1 Spectrum acceleration — ~34 % Euler sampling time in ComfyUI, Day 2 @AMD — Day 0 support on Instinct MI300X / MI355X (ROCm + SGLang) Extend what it can do Multishot workflow — chains past the 15 s limit up to 30 s with audio, Day 2 Or just run it without installing @MiniMax_AI offical API @fal · @OpenRouter · official API — hosted from launch, $0.13/s for 2K, Day 0 @wavespeed_ai · @runpod — $0.07-0.15 per clip on rented 5090s, Day 2 And everyone who benchmarked, quantized (rockerBOO NVFP4, joeygambino GGUF…), and shared numbers: @umiyuki_ai @luta_ai @onigirikila @ivanfioravanti @Spectromachina and many more 🤗 This is what open weights are for.

Open weights = access → possibility. Open communities. Better performance. Deeper customization. Faster innovation. Thank you, @ComfyUI, @magnific, and @OpenRouter for backing H3 and building the open future with us. 💜

We just dropped SOTA open weights for our MiniMax‑H3 video model, and so much happened in 48 hours. The community ran H3 on untested hardware ($280 gaming GPUs, fully‑offline MacBooks) and built brand‑new unplanned tooling. Extremely glad we open‑sourced the weights. Community creations thread 🧵 Hardware requirements are surprisingly modest. Users validated H3 works within 24h on: • $280 RTX 3060 (12GB) • 16‑GB VRAM cards • RTX 4090 / RTX 5090 A year ago, this‑quality video generation was only available via cloud APIs. Now a mid‑range gaming PC is your starting bar.

Across infrastructure, creative platforms, and open communities, our partners share a belief in what open models can unlock. Grateful to @fal, @pika_labs, and @HelloCivitai for building alongside us. 💜 #MiniMaxH3#

Maestro v1.5.5 with MiniMax H3 is out! 🩵 The community got H3 running on hardware we never tested - from a gaming GPU to MacBooks running fully offline - and built tooling we didn't plan for within 48 hours. We're genuinely glad we opened it up. <3

The road to AGI was never meant to be traveled alone. From Hailuo 01 to H3, we've been incredibly lucky to build alongside so many friends, partners, and fellow builders who believed in the same thing we did. That's why we open-sourced H3. Because progress moves faster when more people can build on it, and because we want to keep moving forward together. "To the edge of the sky" has always been more than a destination for us. It's a belief, and maybe a kind of idealism. To everyone who has been part of this journey: thank you. Together, toward the edge of the sky, we will keep going until we get there.🌌✨