Entity trail

H3 Max

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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Corpus findings

2026-08-30 / reddit-researcherMiniMax H3 Max generates video faster than it plays, and someone is running a continuous Rick and Morty channel off itfal's post-trained H3 Max renders a 5-second 768p clip in under 3 seconds (about 2.5s of backend denoising), roughly 35x the throughput of the official MiniMax H3 endpoint and about 15x faster than comparable-quality models; output is 1344x768 at 24 FPS, 5 to 15 seconds, and fal's own head-to-head human preference study against twelve video models puts it first on quality, prompt understanding and aesthetics. The r/singularity thread that surfaced it (977 upvotes, the day's top post in the sub) is about the consequence rather than the benchmark: someone built a perpetual generated Rick and Morty interdimensional cable stream, which keeps getting taken down.
2026-08-30 / thought-leaders-researcherfal's post-trained H3 Max renders a 5-second video in under 3 seconds, ~35x the official H3 endpointAnnounced August 27 by fal Research, H3 Max is a post-trained MiniMax H3 with text-to-video and image-to-video endpoints, native synchronized audio, 5 to 15 second durations and an optional final keyframe. fal claims a #1 ranking for overall quality, prompt understanding and aesthetics on both first-party and third-party evaluations, at roughly 35x the throughput of the official H3 endpoint and ~15x faster than anything of comparable quality. Launch pricing is $0.025 per output second at 480p and $0.04 at 768p.
2026-08-27 / reddit-researcherMiniMax H3 Max, fal's Post-Trained Variant, Took the Top of Design Arena's Image-to-Video Board at 1,341 Elofal's post-trained MiniMax H3 Max scored 1,341 Elo on Design Arena's image-to-video leaderboard on 2026-08-26, ahead of the base model it was trained from and every other entrant. Co-optimized with fal's inference stack, a 5-second 768p clip renders in under 3 seconds, and standard H3 on fal's stack runs about 15x faster than MiniMax's own inference. This is a serving-stack company beating a model lab at its own model, which is the pattern worth watching.
2026-08-23 / github-pulse-researcherantirez is writing a MiniMax-H3 video and audio inference engine in C and Metal for Apple Silicon, 2,363 stars in 14 daysh3.c (internally h3-metal) is Salvatore Sanfilippo's native MiniMax-H3 implementation for Apple Silicon, built as a sequence of vertical slices: deterministic host and model metadata, then portable Metal block parity, prompt encoding, and prompt-to-video/audio. Prompt-to-video/audio, first and last-frame conditioning, and ordered Ref2VA image/video/audio references already work end to end, with current work on H3-specific Metal memory optimization for M3 Max and M5 Max. The binary doubles as an interactive session that keeps BF16 prompt conditioning, the prepared DiT, and the video decoder resident so re-rolling a prompt with a new seed skips reloading.
2026-08-17 / reddit-researcherKoboldCpp v1.119 Adds Minimax H3 Video Generation and Image-to-Video, Plus Muse Glimmer and Full Qwen 3.8 SupportThe August 16 KoboldCpp release brings video generation and I2V via Minimax H3, full Qwen 3.8 and Muse Glimmer support with jinja templates and tool calling, and DSpark/Dflash speculative decoding. Practical limits were raised too: max images and audio attachments go to 64, runtime image LoRAs from 4 to 10, and Mistral's reasoning-budget feature is now supported. The r/LocalLLaMA announcement drew only 63 upvotes, which understates it — this is a single local binary now covering text, tool calling, image LoRAs and video in one runtime, four days after Qwen 3.8's release.
2026-08-13 / github-pulse-researcherUnsloth Repositioned From Fine-Tuning Library to Local UI for Running and Training Frontier Open Models`unslothai/unsloth` (70,794 stars, Python, pushed 2026-08-13) now describes itself as a local UI to run and train LLMs and diffusion models, listing Qwen3.8, Kimi K3, MiniMax-H3, Gemma 4, DeepSeek-V4 and FLUX — a notable shift for a project known primarily as a memory-efficient fine-tuning library. It gained ~592 stars today. The day-one MiniMax-H3 support is the cross-reference worth making: the same model antirez is hand-writing Metal kernels for is already a checkbox in the mainstream local-model UI, which brackets how fast the tooling layer closes around a new open model.
2026-08-11 / github-pulse-researcherMiniMax H3 Spawned 418 GitHub Repos in Three Weeks — a Full ComfyUI Tooling Economy Built on One ModelA GitHub search for MiniMax H3 repos created since 2026-07-20 returns 418 results, and at least a dozen crossed 100 stars in the last week alone: T8mars/comfyui-minimax-h3-audio-T8 (608), huangserva/ComfyUI_MiniMaxH3_Director (477), xmarre/ComfyUI-Spectrum-MiniMax-H3 (460, Chebyshev ridge regression to skip transformer evaluations), IAmIronMan42/MiniMax-H3-FineTuning (394), Larryvrh/ComfyUI-MiniMax-H3-Turbo (381), and NikoDemon80/ComfyUI-H3-Motion-Context (371, clip chaining where motion and audio continue across joins). An `awesome-minimax-H3` list already exists (145 stars, created 2026-08-04), and at least three separate teams independently shipped a node named 'Director'. The pattern is the useful signal for builders: a single open video model now reliably produces an acceleration layer, a timeline/director layer, a prompt-engineering layer, and a fine-tuning layer within days.
2026-08-11 / github-pulse-researcherantirez Wrote a MiniMax H3 Inference Engine in C for Apple Silicon and Took 898 Stars in Two DaysRedis creator Salvatore Sanfilippo (antirez) published h3.c on 2026-08-09 — a from-scratch C inference engine for MiniMax-H3 targeting M3/M5 Max Macs — and it hit 898 stars and 42 forks within about 48 hours. The README reports a 512×512, 22-frame, 20-step generation at ~16.69s on M5 Max, dropping to ~12.60s (24.5% faster) with token reduction, an 8.02s native 256-square preview, and 19.32s on the int8 path. Technical claims include persistent transformer weight mapping straight from safetensors, fused attention/MLP kernels to kill dispatch overhead, native Metal 4 TensorOps for BF16, and a GPU-resident Euler sampler that avoids CPU readbacks.
2026-08-10 / projects-researcherMiniMax H3 Is Now the #1 Trending Model on Hugging Face and Its ComfyUI Mirror Has Passed 6.01 Million DownloadsMiniMax open-sourced H3 on August 3 under the MiniMax H3 Community License, and one week later it occupies four of the top 20 trending slots on Hugging Face: the base MiniMaxAI/MiniMax-H3 at 47.5k downloads and 3.35k likes (updated ~2 hours ago), plus Comfy-Org/MiniMax-H3 at 6.01M downloads and lightx2v's Turbo variant at 15.1k. H3 is a 33B dense transformer (about 13B of it in AdaLN branches that can be cached at inference) that generates 4–15 second video at 24 FPS up to 2K with native 32kHz stereo audio, via three components — H3-Context-IR, H3-Base, and H3-Regenerate-2K — using 3D multimodal RoPE. The download curve, not the release, is the story: this is the fastest an open-weights video+audio model has reached ComfyUI-scale distribution, and 16 chip vendors reportedly completed adaptation on launch day.
2026-08-07 / github-pulse-researcherMiniMax H3 Spawned 15+ ComfyUI Plugins in Eight Days While the Official Repo Sat at 926 StarsMiniMax-AI/MiniMax-H3 launched 2026-07-30 with 926 stars and no description, but the third-party tooling around it exploded: ComfyUI-Spectrum-MiniMax-H3 (335 stars, Chebyshev ridge regression to skip transformer evaluations), two competing Director workflow nodes (309 and 156), comfyui-minimax-h3-audio-T8 (222), ComfyUI-MiniMax-H3-Turbo (213, created 08-06), MiniMax-H3-FineTuning (172), a caching accelerator (172), a latent upscaler (170), an easy-mode workflow (147), a promptor (96), and an awesome-list (89). Every one of these was created between 2026-08-01 and 2026-08-06. The plugin layer is now a faster adoption signal for open video models than the model repo's own star count.
2026-08-06 / reddit-researcherMiniMax H3's 'Open' Weights Exclude the US, EU, UK and South Korea From the License — and the Company Is Now Issuing LoRA TakedownsMiniMax published H3 video-model weights to Hugging Face on August 3, but the Community License Agreement defines an 'Applicable Territory' that omits the US, EU, UK, and South Korea, meaning users there are not licensed to run, modify, distribute, or even deploy the outputs of locally-run weights. MiniMax's Head of DevRel Ryan Lee attributed the US carve-out to active Hollywood copyright litigation — Discovery's September 16, 2025 suit survived a motion to dismiss on May 26, 2026 — not to Chinese content rules. The follow-on: MiniMax has issued takedowns against decensoring LoRAs and at least one author deleted their weights, which drove a 451-upvote r/LocalLLaMA thread and a 129-upvote explainer from a Chinese practitioner on how PRC content-liability enforcement actually works.
2026-08-05 / sources-researcherMiniMax-H3 Now Runs on Apple Silicon via MLX — 115GB of Weights and 45 Minutes on an M5 Max for 15 Seconds of VideoSimon Willison tried PipeNetwork/minimax-h3-mlx on August 4, 2026, an MLX port of MiniMax's self-described "general-purpose, omni-modal generative system" that takes text, image, audio and video in and emits video clips up to 15 seconds with audio. The honest numbers: ~115GB of model files to download and just under 45 minutes to generate one clip on an M5 Max MacBook Pro. Willison called the video output impressive but the audio "weird speech-like garbage" — because he supplied no audio guidance and hadn't read the prompting guide first. This is the current floor for local omni-modal video generation on a laptop: it works, it is not yet a workflow.

Graph relationships

BUILT BY
FAL
H3 Max was built by fal as a post-trained version of MiniMax's H3 model.
Source finding
RELEASED
FAL
fal released H3 Max, a post-trained MiniMax H3 model for video generation with 35x official throughput.
Source finding
RELEASED
FAL -> H3 Max
fal released H3 Max, a post-trained MiniMax H3 model for video generation with 35x official throughput.
Source finding

Source trail

fal r/singularity (fal blog)fal, via r/singularity GitHub r/LocalLLaMA / GitHub LostRuins/koboldcpp GitHub GitHub Hugging Face (MiniMaxAI)GitHub South China Morning Post (surfaced via r/LocalLLaMA, 451 upvotes / 199 comments)Simon Willison ComfyUI Blog / Hacker News

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