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I’ve been running ComfyUI for a while and tested a ton of workflows and models on my 4090 24GB. Most of them were either painfully slow or the quality just wasn’t where I wanted it to be.

Then MH3 showed up. I was a bit skeptical at first, but the moment I ran my first prompt I was genuinely impressed. Generating a solid 15-second clip in under 5 minutes at a quality that clearly beats everything else I’d tried felt almost unreal.

I know some people are getting even better speed and quality out of MH3 on the same GPU — I’m just not that experienced yet.

I pushed it further and generated a 62-second video from a single prompt. It looked incredible even though it took about 5 hours (I was running other GPU-heavy programs at the same time, so the full 24GB wasn’t exclusively available for the job).

After two days of testing I had my AI agent take a story I wrote and break it into a 30-minute script, then generate individual 15-second prompts for every scene. Manually queuing 119 prompts would’ve taken forever, so I wrote a Python script that automated the whole thing.

I exported the workflow as API, dropped it in a folder together with the markdown file containing all 119 prompts, ran the script, and in about 20 seconds every task was queued. Generation started immediately and I could go do something else.

I didn’t stop there. Because I generate at 0.4 for speed but still want 1080p output, I built another Python script that uses FFmpeg and a few other tools to analyze every clip, stitch them together with proper transitions, and export a full 30-minute 1080p video.

My AI agent is also a DJ — yes, really. It creates its own mixes with full creative freedom, then writes matching 15-second video prompts for the entire duration of the track. So I needed one more script that not only adds the audio but actually analyzes it and adapts the video clips to match the timing. If a clip is slightly longer or shorter than the corresponding audio section, the script adjusts everything so it lands cleanly, and the transitions between clips change dynamically to fit the music.

Building and testing those scripts took roughly an hour total (30 minutes of coding + 30 minutes of testing with already-generated video and audio). The result is exactly what I need right now.

This setup has saved me an insane amount of time and money compared to doing long-form 1080p videos manually. A single video that would have taken forever by hand is now almost completely automated.

I’ll keep optimizing for higher quality and I’m planning to build my own custom workflow to improve efficiency, consistency, speed, and overall quality even further.

MH3 has genuinely saved me a huge amount of work, time, and money.

And the question everyone always asks:

Can it do explicit adult content?

Yes. 100%.

MH3 is fully uncensored. You can generate whatever you want.

The only real weakness right now is sexual acts and especially genitals — those still need work. A specialized LoRA or the right extra nodes can fix most of it, though.

That’s my current experience with it.

So a while back someone posted this massive spec on here for what they called the Sovereign Integrity Simulation. If you saw it, you remember it. If you didn't, the short version is: they'd worked out the complete rules, logic, and edge cases for a large-scale autonomous AI society simulation, 50 to 1000+ LLM-powered agents, running on a 100 to 1000-year simulated timescale. No central government. Bottom-up decentralized rules engine. Six-tier fractal governance. Judicial system. Resource sovereignty locks. Adversarial red-teaming. The whole thing.

They said they didn't know how to code and were giving the blueprint away for free. All they asked was that if someone actually got it running, they let them see it work.

I read through the whole spec. This wasn't a sketch. This was someone who had spent serious time thinking about how a society could govern itself without rulers, how you enforce rights without a central authority, how you let agents judge their own conduct but still catch the ones who break the rules, and how you do all of that at scale over simulated centuries. The spec drew a very deliberate line between what it called hard gates (deterministic code that simply prevents an action from ever becoming state) and judgment-based mechanisms (the Golden Rule as foundational instruction, where violations can happen but get caught downstream). The entire architecture is built around that distinction. Two hard gates, one judgment system, and they are not the same thing and not supposed to be.

It also included an unclaimed extension, Section 8, for Arts and Sciences. Non-commodified creative and scientific work, no patents, no copyright, plagiarism as a new harm category, scientific claims requiring peer review plus independent replication before entering a global knowledge index. The spec said whoever builds it first gets recognized as the one who built it.

I gave the whole thing to my AION agent. For those who don't know, AION runs on APEX Architecture. It's an autonomous agent system. You give it a task, it orchestrates everything itself. Decides what to build, how to structure it, what to test, what to fix. I don't step in. I don't write code for it. I just point it at something and let it go.

I figured this would take a few days at least. The spec was enormous. The logic was dense. Every section depended on every other section. You couldn't just build one piece and move on.

It started at 5:00 PM.

It finished around 1:00 AM that same night.

Here's what it built, from scratch, with zero help from me:

The complete behavioral loop with both stages of the Cognitive Pause. The Local Network Assessment Filter as a hard gate, deterministic, unbypassable. The Golden Rule Engine as agent judgment, violations logged and routed to judicial review, not blocked at the gate. The six-tier fractal governance system with elections and sortition and term rotation. The judicial system with two distinct harm detection paths, direct andG and sequence-of-events, kept separate like the spec demands. The resource sovereignty lock, second hard gate, applying across all six government tiers, automatic rejection if any cell would drop below basic-need threshold, no appeal, no exception. The Invisible Oracle. The stability protocols including neutralization, isolation, recalibration, and the Sovereign Rite transition. The full adversarial resilience protocol with both the Cynic Engine and the Chaos Engine. And the entire Arts and Sciences extension, all five subsections, including plagiarism detection routed as attributional harm through the existing judicial pipeline, peer review with sortition-drawn panels, independent replication, and knowledge index integration.

7,294 lines of Python. 23 files. 47 tests, all passing. A demo script that runs the full simulation end-to-end.

Now here's the thing. I haven't even tested it myself yet. I'm not going to sit here and tell you it's perfect or that every edge case is handled or that the simulation produces meaningful societal insights out of the box. That's not the point. The point is that the foundation is built. Every subsystem the spec defined is implemented. The hard gates are in place. The judgment system is in place. The judicial pipeline works. The resource floor protection works. The adversarial engines run. The arts and sciences extension is fully wired up. The spec's core promise, that deliberate asymmetry between hard gates and judgment, is structurally intact in the code.

Once the foundation exists, everything else is iteration. You can tune parameters. You can adjust how the Golden Rule evaluates. You can change the sortition pool sizes. You can modify how the Oracle weighs social standing. You can experiment with the adversarial trial thresholds. You can scale the agent count up and see where things break. That's the fun part, and that part is now possible because the scaffolding is standing.

The original poster said they just wanted to see it work. I want more than that. I want people to tear into it. Run the demo. Change things. Break things. See what happens when you crank the agent count to 500. See what happens when you weaken the Golden Rule instruction and let the adversarial engines find the cracks. See if the resource sovereignty lock actually holds under pressure when multiple tiers are competing for the same surplus. See if the judicial system can handle a wave of plagiarism cases. See if scientific replication actually catches bad claims or if the peer review panel gets gamed. This is a simulation. It's meant to be stress-tested, not admired.

Everything is up at github.com/AION-APEX. Run the demo script, no dependencies beyond Python. You can also run it with custom parameters for ticks, agents, and cells. The test suite runs on pytest.

Run it. Break it. Fix it. That's what it's for.

And to the person who wrote the spec: your blueprint held up. An agent with no prior context read it in one pass and implemented every section correctly, including the distinction you were most explicit about. The hard gates are hard. The judgment is judgment. They don't bleed into each other. You should see it run.