// AI TOOLS · COMFYUI

ComfyUI

The open-source, node-based interface for running generative AI models on your own machine — now with day-0 native support for MiniMax H3, so you can generate 2K video with native audio locally.

Last verified · 2026-10-23 · by Moe Ameen

Published 2026-08-03 · Updated

Short answer

ComfyUI is a free, open-source, node-based app for running generative AI models on your own machine. You build each generation as a graph of connected nodes, so every step is visible and adjustable. On August 3, 2026, it added same-day support for MiniMax H3, an open-weights video model that makes clips up to 2K and 15 seconds with stereo audio.

Key takeaways

  • ComfyUI is free and open source (GPL-3.0); Comfy Cloud is an optional hosted version from $20/month.
  • Its MiniMax H3 support covers text-to-video, image-to-video, first and last frame, and reference-to-video.
  • Comfy Org cut H3's memory footprint 66%, from 123.6 GB to 42.5 GB, so it can run on GPUs like the RTX 3060.
  • ComfyUI stops at the file; captions, reframing, and posting happen somewhere else.

What is ComfyUI?

ComfyUI is a free, open-source (GPL-3.0), node-based interface for running generative AI models, developed by Comfy Org. It started with diffusion image models and now runs video, audio, and multimodal pipelines too. Instead of a single prompt box, you build a workflow as a graph: nodes for loading a model, encoding a prompt, sampling, and saving output, wired together so every step is visible and adjustable.

That node graph is what makes ComfyUI the power-user's tool — you control the whole pipeline rather than a handful of exposed sliders, and you can save, share, and re-run a workflow exactly.

Two things extend its reach. Open-model support: ComfyUI natively runs the latest open-weights checkpoints locally on your own GPU, and community "custom node" packages add extra models, editing steps, and automation. API ("Partner") nodes: for closed models you don't self-host, ComfyUI can call hosted endpoints inside the same graph. The project is free and self-hostable, through the desktop app or a manual install from GitHub. Comfy Org also offers an optional hosted service, Comfy Cloud, which you can start free; paid plans begin at $20/month (Standard, billed monthly) for people who want the workflow without local hardware.

On August 3, 2026, ComfyUI shipped day-0 native support for MiniMax H3 — MiniMax's open-weights multimodal video model — the same day the weights landed. The integration exposes H3's full mode set inside a ComfyUI graph: text-to-video, image-to-video, first-and-last-frame control, and reference-to-video, with native stereo audio generated alongside the picture and output up to 2K with clips up to 15 seconds. The notable engineering was making a very large model run on consumer hardware: Comfy Org reports pruning H3's modulation weights (about 40% of parameters) into a lookup table plus int8 quantization and custom kernels, cutting the memory footprint of the smallest variants from 123.6 GB to 42.5 GB — a 66% reduction — with dynamic VRAM offloading letting a 2K model run on a GPU as modest as an RTX 3060. Model weights are published on Hugging Face (Comfy-Org/MiniMax-H3), and workflows are in ComfyUI's template library. Treat exact resolution, duration, and VRAM figures as an early snapshot and confirm current numbers in ComfyUI's docs before quoting them.

What can you make with ComfyUI?

  • Local AI video with native stereo audio via MiniMax H3 — text-to-video, image-to-video, first/last-frame, and reference-to-video, up to 2K
  • AI images from open-weights checkpoints (Stable Diffusion and successors) with full control over sampler, steps, and conditioning
  • Reusable, shareable node-graph workflows that reproduce a generation exactly every run
  • Hybrid pipelines that mix local open models with hosted closed models through API/Partner nodes
  • Batch generation and automation driven programmatically via the ComfyUI API
  • Custom multi-step pipelines (upscaling, inpainting, ControlNet, LoRAs) assembled from community custom nodes

Where does ComfyUI stop and Kompozy start?

ComfyUI is the render room, not the distribution channel — and after the MiniMax H3 integration it's a genuinely powerful one, since you can now generate 2K video with native audio on a mid-range GPU for the cost of electricity instead of per-clip API fees. But everything ComfyUI gives you stops at a file on your disk. Its graph produces a raw MP4 or PNG; it does not know your brand voice, doesn't burn captions for muted autoplay feeds, doesn't reframe a landscape render to 9:16, and connects to no social platform. That's a deliberate division of labor: ComfyUI maximizes control over the generation; Kompozy is the managed layer that turns each render into finished, on-brand, scheduled posts everywhere. The two fit cleanly because they don't overlap — one is a local pipeline for making assets, the other is a cloud pipeline for finishing and publishing them.

Concretely: export an H3 clip from your ComfyUI graph, drop it into Kompozy, and it burns in captions styled to your brand, reframes cleanly to 9:16, 1:1, and 16:9 for each destination, and layers hook text and lower-thirds through HyperFrames so the muted first second reads on the feed. From there Kompozy fans that single render into a full unit ComfyUI can't assemble — a brand-exact Carousel, Quote Graphics, native Text Posts, a Blog Article, and an Email Newsletter — every piece held to one voice by your Persona Brief and banned-word filters. Then Autopilot and a per-post review pipeline schedule and publish the whole set across the eight primary social platforms plus blog and email from one queue. You keep ComfyUI's local control and zero-marginal-cost generation; Kompozy removes the finishing-and-posting work that a node graph was never built to do.

  1. Build your generation in ComfyUI — load the MiniMax H3 workflow template (or any open-model graph) and render your clip or image locally.
  2. Export the finished MP4 or PNG and bring it into Kompozy as source material.
  3. Let Kompozy add branded captions, reframe per platform to 9:16, 1:1, and 16:9, and layer hook text via HyperFrames.
  4. Fan the single render into a Carousel, Quote Graphics, Text Posts, a Blog Article, and a Newsletter — all in your Persona Brief voice.
  5. Schedule and publish the set across the eight social platforms plus blog and email from one queue with Autopilot and per-post review.

What does this look like in Kompozy?

A real naturalistic AI video made in the Kompozy workspace. It shows a generated clip as a finished post, the step that comes after a raw render leaves ComfyUI.

Real output · Kompozy Naturalistic video format · from the Kompozy workspace

Who is this for, and who should skip it?

Best for:

  • Power users who want full control over every generation step
  • Creators with a capable GPU who want local video without per-clip fees
  • Teams that need repeatable workflows they can save and share

Not ideal for:

  • Beginners who want a single prompt box
  • Anyone without a decent GPU who won't pay for Comfy Cloud
  • People who need finished, captioned posts. ComfyUI outputs raw files

Frequently asked questions

What is ComfyUI?

ComfyUI is a free, open-source, node-based interface for running generative AI models on your own machine. Originally an advanced UI for Stable Diffusion image generation, it now runs video, audio, and multimodal models too. You build a generation as a visual graph of connected nodes, which gives power users full control over every step of the pipeline rather than a few exposed settings.

What is the ComfyUI MiniMax H3 integration?

On August 3, 2026, ComfyUI added day-0 native support for MiniMax H3, MiniMax's open-weights multimodal video model, the same day its weights were released. Inside a ComfyUI graph you get H3's text-to-video, image-to-video, first/last-frame, and reference-to-video modes with native stereo audio, up to 2K resolution and clips up to 15 seconds. Comfy Org's optimizations let it run on consumer GPUs.

Can MiniMax H3 in ComfyUI run on a normal GPU?

Yes, within limits. Comfy Org reports pruning H3's modulation weights into a lookup table plus int8 quantization and custom kernels, cutting the smallest variant's memory footprint from 123.6 GB to 42.5 GB — a 66% reduction — and using dynamic VRAM offloading so a 2K model can run on a GPU as modest as an RTX 3060. Larger, higher-quality variants still want more VRAM; check ComfyUI's docs for the variant you plan to run.

Is ComfyUI free?

The core ComfyUI application is free and open source — install the desktop app or set it up from GitHub on your own hardware at no cost. Comfy Org also offers an optional hosted service, Comfy Cloud, which starts free and has paid plans from $20/month for people without a powerful local GPU, and closed models called through API/Partner nodes consume credits. Confirm current pricing on comfy.org.

Can ComfyUI publish content to social media?

No. ComfyUI generates the file — a clip or an image — but it does not caption in your brand voice, reframe per platform, build carousels or blogs, schedule, or publish. To turn a ComfyUI render into finished, on-brand posts across eight social platforms plus blog and email, pair it with a content engine like Kompozy.

How do we know this?

We checked every figure, date, and price on this page against the sources listed below on 2026-10-23, including Comfy Org's H3 post, the ComfyUI GitHub README, and the Comfy Cloud pricing page. Kompozy plan, format, and platform details come from kompozy.io and kompozy.io/pricing.

Sources

  1. Comfy Org blog — MiniMax H3 day-0 support in ComfyUI (read 2026-10-23)
  2. GitHub — Comfy-Org/ComfyUI (read 2026-10-23)
  3. Comfy Cloud — Pricing (read 2026-10-23)
  4. Kompozy — Home (platforms, formats, Persona Brief, autopilot) (read 2026-10-23)

Related tools

  • MiniMax H3 Video Model — MiniMax's open-weights, multimodal video model — 2K clips with native stereo audio, conditioned on up to 9 image, 3 video, and 3 audio references, priced to undercut the proprietary leaders.
  • Hailuo AI Video Generator — MiniMax's AI video generator, known for physically believable motion and strong instruction following from text or a single image.
  • Flux 3 — Black Forest Labs' multimodal foundation model — one system trained jointly on image, video, and audio, plus a robotics action head.
  • HeyGen HyperFrames — HeyGen's open-source framework that renders HTML, CSS, and animations into deterministic MP4 video — built for AI agents to author.
  • Gemma 4 26B Local Engine — Running Google's Gemma 4 26B model on your own machine — via Ollama, llama.cpp, MLX, or vLLM — for free, private, offline text drafting on consumer hardware.
  • Cynema AI 2.0 — A cloud video platform that routes a prompt to a best-fit engine among a reported 50+ AI video models (Sora 2, Veo 3.1, Kling and others) and auto-builds a 4K clip.

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