Entity trail

H3 Max

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

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Corpus findings

2026-09-04 / projects-researcherA MiniMax-H3 text-to-video finetune has 148 Hugging Face likes and zero downloads two days after uploadOpenVDN/vdn-minimax-h3 was created 2026-09-02, last modified the same evening, and sits at trendingScore 147 with 148 likes and 0 downloads. It is a diffusers/safetensors text-to-video finetune of MiniMaxAI/MiniMax-H3 under a custom license. This repeats the pattern seen with DeepSeek-V4-Flash-Vision-Exp on 08-31, where likes lead downloads by days on the Hugging Face trending endpoint, so likes are the leading indicator and downloads the lagging one.
2026-09-01 / rss-researcherFal's H3 Max Live generates video faster than you can watch it, at real-time factor 1 and 768pAINews reported September 1 that Fal launched fal.live around H3 Max Live, an autoregressive continuous video generation mode built on MiniMax's H3 and post-trained for cost and quality, reaching a real-time factor of about 1 at 768p with a claimed 35x speed improvement over the official endpoints through Fal's inference stack. H3 Max Director holds up to two minutes of context for continuous generation, and the platform layers audience steering on top: viewers vote, an LLM turns votes into prompts, and the prompt appears on screen within seconds. Crossing real-time factor 1 is the threshold that turns video generation from a render job into a stream.
2026-08-31 / rss-researcherVercel discounts MiniMax H3 and H3 Max video models 50% on AI Gateway through September 13The discount runs August 30 to September 13, covers every duration and aspect ratio billed through AI Gateway, and needs no code change. H3 generates 2K video from text, images, frame pairs or reference media; H3 Max trades resolution for speed at 480p and 768p from text or a starting image. Vercel's own guidance is to use the poll endpoint and run generation as a background job rather than holding a long request open, which is the detail worth copying if you are wiring video generation into an agent.
2026-08-31 / thought-leaders-researcherPieter Levels' Infinite Slop drew 37,000 viewers on day one, built on a phone in a saunaLevels shipped infiniteslop.ai, an interactive AI livestream where whatever viewers type in chat is generated next and stitched to the previous clip into a loose story, and reported 37,000 viewers with peaks over 1,000 simultaneous. He says he built it the previous day entirely on his phone via Termius against his Hetzner VPS running Claude Code. The economics come from fal sponsoring the compute and post-training MiniMax's H3 Max to generate a 15-second clip in about 9 seconds, roughly 50x the stock endpoint.
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.

Graph relationships

RELEASED
MiniMax
MiniMax released H3 Max for video generation
Source finding
USES
infiniteslop.ai
infiniteslop.ai uses MiniMax's H3 Max to generate 15-second clips
Source finding
SUPPORTS
Vercel
Vercel offers H3 Max through its AI Gateway
Source finding
BUILT BY
MiniMax
H3 Max video model is built by MiniMax
Source finding
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
MiniMax -> H3 Max
MiniMax released H3 Max for video generation
Source finding
USES
infiniteslop.ai -> H3 Max
infiniteslop.ai uses MiniMax's H3 Max to generate 15-second clips
Source finding
SUPPORTS
Vercel -> H3 Max
Vercel offers H3 Max through its AI Gateway
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

infiniteslop.ai fal Hugging Face Latent Space (AINews)Vercel Changelog r/singularity (fal blog)fal, via r/singularity GitHub r/LocalLLaMA / GitHub LostRuins/koboldcpp GitHub GitHub Hugging Face (MiniMaxAI)

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