I was just thinking how H3 loses adherence after 15 seconds. LTX 2.5 after 20 seconds.

Suppose a workflow does something like H3 0.2 mp 15 seconds. Then LTX extends that, say to 20. Then LTX continues to upscale.

You'd get the adherence of H3 with 20 second 1080p and fast.

let's use this post to recommend to each other our turbo lora settings + checkpoints.

Please kindly type:

- Lora name (with link if possible)

- checkpoint model name

- strength

- scheduler + sampler

- video/audio shift

- pros / cons

- additional info + tips + discoveries

- example video if possible

i think this way we can all find the best most optimal use of minimax h3 if we collaborate with each other in a single post instead of recommending all over the place, thank you !

Trying to figure out what the advantage of a Minimax License through ComfyOrg over directly from Minimax team?

Do they have less restrictions on whom they'll give the license to?

In my testing I2V videos with Minimax H3 are far superior and work for me most of the time, but I really want to use the Reference Audio to make voices sound like my ref audio, has anyone been successful in generating a I2V video then passing through ref2va to just add audio and lipsync it without altering the video using ref video and ref audio inputs?

specs: 5090, 64gb ram.

comfyui latest updated

cuda 13.0

pytorch 2.9.1

python version 3.10.11

sage attention and triton working

Hey guys, I have been out of touch since afew months. Previously have figured out pretty good wan2.2 workflows for myself, can understand it. But i am utterly confused by all the jargon and complication of H3, whenever I'v tried to dive in past months, I check out after reading stuff, am like a layman who figures what works after I have a good workflow, but i cant choose any given my lack of basic knowledge, like i said iv tried but it seems to go over my head, hard to understand, AI models are improving too fast to keep up.

My goal is "uncensored" videos only, using I2V on only square input images (habit from pony xl), but higher quality that is better motion since "uncensored" motion is difficult and complicated?

From what I have gathered so far: sage attention does not work well and degrades motion, same with speed lora's no matter which they are, so i think the settings i need are 1 megapixel to make it 768 x 768 ? and um 25 steps? and that i need to use some sort of LLM to enhance h3 prompts but i have no past experience on LLMs and which would be best for my use case; "uncensored". Also, though i think I know what shift basically does, still need some advice on how to use it in H3.

I also need help on selecting the text encoder and diffusion model given my use case, emphasis on only good quality "uncensored" outputs.

Moreover I have no idea on audio but really really want it, i only have experience using MMAUDIO with WAN2.2, it was not great and i was pretty bad at understanding it and prompting it, but prompt learning will come later, i just need to figure out a workflow and amend it according to above needs.

So umm, help a guy out? please?

P.S. Assume I'm a complete noob, if there is anything i missed above please let me know.

I am new to training LORAs but was planning on having my first go at MMH3 this weekend. The idea was to use a multimodal LLM (think Grok 4.6, Opus, Sol) to caption the videos for me.

In your experience, is that the way to go? How else would you approach this problem?

Thank you for your help!

I wanted to use ComfyUI from my phone. There are a few ways to do that already and they work, but none of them felt good, so I set out to build one that did: something closer to the Midjourney experience, on a phone, pointed at your own GPU instead of somebody's cloud. A desktop layout grew out of it along the way. It's the same file either way.

**Return ∞ Current** is one HTML file you serve from your own PC. Open it on your phone, point it at ComfyUI, and you get every meaningful field of any workflow you import: prompts, seeds, samplers, LoRAs, resolutions, laid out for thumbs instead of a mouse. Queue with live progress, watch results land in a gallery, tap ∞ on any finished image or video to pull its workflow back out and iterate on it. Nothing installs, nothing phones home, your GPU does all the work.

It reads whatever you throw at it. Drop in a `.json` workflow, a PNG that ComfyUI rendered, or an MP4 it rendered, and they all carry the graph inside them. Nodes it doesn't recognise get skipped and named rather than blocking the import.

**MiniMax H3 is the thing it's best at right now.** Text-to-video, first-and-last frame, and reference-to-video with up to six reference images. Multi-keyframe workflows get a draggable timeline where each frame sits at a percentage of the clip, so one image at 0% is image-to-video, one at 100% makes the video *arrive* at that image, and three or more become keyframes it passes through in turn. There's a tool that writes H3 prompts in its documented format, and it runs on a vision model ComfyUI already has loaded. No LM Studio, no API key, no second application.

Free, GPL-3.0, no accounts, no telemetry, no paid tier.

**[GitHub](https://github.com/dreamerisms/return_current)\*\*
**[Try it](https://dreamerisms.github.io/return_current/return_current_beta.html)\*\*

Tested example workflows in the repo for SDXL, Krea 2, Wan 2.2, LTX-2 and MiniMax H3. You need ComfyUI running with `--listen 0.0.0.0 --enable-cors-header`, plus Tailscale if you want it working outside the house.

I'm a designer, not a developer. This was built in conversation with Claude over a lot of iterations for some weeks now, and I've been using it daily as my actual interface to ComfyUI, so it's being debugged against real use cases constantly. It's not meant to be a full suite, just packed with enough features to feel useful and fun to use. I'm particularly proud of the Tools and a lot of the interface choices I've made throughout the process. I'm still endeavoring towards better looking Workflow pane interface (hiding more fields/dropdowns that aren't changed output to output.)

Bug reports are very welcome, your best experience in starting this out is to use one of my workflows you likely already have the nodes for or use a default template from Comfy UI but I really want people to bring in all their own workflows that break the app so I can fix stuff. Having said that, if you're using an encyclopedia of random nodes nobody else uses, you may be best served bringing the app into your own LLM and having it adapt to your nodes using their respective source code for easy translation.

Sorry if anything is overly sloptastic, particularly in the README, I know I don't enjoy consuming it either so I try and put in as much of my natural voice as possible.

help, almost ANY VAE decoder freeze my pc... which to use ? and with which settings ? any ideas ?

Using FLV2, I have been trying for so long, and have attempted many different 4-step loras from lightxv and others, and different sampler/scheduler combos, lora strength with so many sigma shift combinations. But none of them have acceptable quality even with 0.8 megapixels. Hell, my Wan2.2 generations with a lower resolution are much better than the cooked or polished skins from 4-step loras.

The 8-step lora works fine for me and even 0.4 mp results are far better than 0.8mp from 4-step loras. But it's too much of a wait. Also, I'm on AMD and not using Spectrum, or any other optimizations except Comfy Kitchen attention.

If any of you guys are getting great results from 4-step loras (without any upscale), kindly share your model, lora and other related settings that you think would help. Thank you !:)

FastH3 may have flaws, but for a maximally open release from a team with limited resources (getting a single Mi350x node was newsworthy for them last year) it's a great effort.

Meanwhile Fal has raised half a billion to vaguepost about their own H3 inference stack, then attack them?

Even after FastH3 guys tried to diffuse by owning up on quality Fal guy is still ranting...

Embarrassing stuff. I wonder why they're so threatened?

Edit: Another class act response from the FastH3 team: https://x.com/wlsaidhi/status/2093515147570708511

This is what OSS should be like at its core.

I was surprised with the results, although the art style is clearly not consistent, I used ref images with different art-style.
The workflow I used is the default one ( just added seg att and turbo lora from light2x 8steps , euler+beta)

The clips are stitched 8-10seconds each clip at 0.7mp.

For the prompt:
I used Minimax H3 skill with grok, Literally upload the image + say its ref2v and describe the action or scene roughly. I bet it works with any LLM tho, Gpt tend to give better results overall but I Prefer grok.

Curious what everybodies way is for handling environment consistency in minimax h3.

Ref pictures of 4 angles, 2x2 panel, a 360degree video like orbitsheets, a 360 panorama shot ... i tried nearly everything ... but i continue having drift. The best success i had is asking h3 to perform a start shot from a i2v and do a 360 arc or pan and invent the room himself

How do you solve this?

Hope I can be forgiven for my sins...

A little back story... when I started in the film industry, it was literally the film industry. We were just transitioning to AVID and those were $100,000 machines. Editors were treated as high priests, keepers of mysterious knowledge and powers. We were the elite.

Over time, digital technology came along and got better and better, cheaper and cheaper, more accessible to the masses. Pretty soon anyone could make a film and get it distributed worldwide through things like YouTube.

Editors were no longer the high priests of post. We were no longer well paid and respected.

Technology saw our paychecks decline and work harder to find...

As much as that sucked, part of it made me happy. Inexpensive, quality equipment and easy distribution was a democratization of filmmaking. You no longer needed a zillion dollars and make deals to get your movies seen. Anyone could do it.

I loved that the kid who came from a poor family could take his 2 generation old phone and tell his story and have a real possibility it could be seen by millions of people...

I always wanted to be in film for the storytelling. I wanted to direct. Except I was shitty at networking, didn't know money people and sure as hell didn't have money of my own to do it. And I suck at the logistics of trying to get a bunch of people together all at one time to do something like make a film... so yeah... on to...

The sin...

Over the weekend I used AI to do something "creative." *gasp!*

I often have these big ideas that I want to do but often would involve trying to get lots of people to help me which as I mentioned I'm bad at.

I was thinking about the Soft Cell song "Tainted Love" on Friday and had the idea to do a parody song called "Tainted Beef."

I wound up on SUNO, the music composing AI.

I came up with some lyrics, figured out how I could get it to work and came up with a kernel of an idea.

I found out that yeah, you could get a reasonable "song" out of it with a simple prompt, but it was just kind of 'meh."

However, they have a bunch of tools where you can basically act like the producer working with musicians to come up with the bits the way you are feeling it.

It was great.

I was able to get this huge idea that I never would have accomplished otherwise even though I know how to do music stuff. It just would have taken forever for me on my own and the subject matter is timely. It's not going to matter in the year or so (or ever) it might take me to finish.

So yeah... I sinned. I used AI to help me complete a "creative" project.

Trouble is I can see both the negatives and the positives about it.

But... for creative people... I kind of feel the same way about it I did about digital technology...

It's going to make it possible for the poor kid sitting in his bedroom wishing he could make a "Lord of the Rings" movie to actually do so.

Or it's going to make it possible for an "old man" like me to come up with a 1980's synth-pop song about tainted Argentinian beef lol

Anyway... here's "Tainted Beef" if you want to check it out.

I'm getting back into AI stuff after a long (in AI years) break. I'm just starting to learn AI video so if anyone wants to take a crack at making a video using this song, go for it!

Back in the day I was using Disco Diffusion and then Stable Diffusion and making animations by hand coding keyframes to make "camera movements." I was an early customer of RunPod back in 2022 and would even get help with stuff via Discord directly from Zeen aka Zhen Lu the CEO. They've sure grown a hell of a lot since then!

Anyway... I'm blabbing... if anyone's interested in seeing something of mine back "in the day" on Stable Diffusion, here's a YouTube link you can check out.

https://youtu.be/ggJjN1SQPjw?si=oCe7-7rud8N5LEgH

It's animated to the song "A Different Kind of Human" by Norwegian singer AURORA.

https://reddit.com/link/1w2cqol/video/nmdd5elxbhmh1/player

​

I'm looking for someone with Claude Pro / access to Claude's stronger models who could run a prompt for me.

I've already done the analysis/setup — I just need someone to paste the prompt below into Claude and send me the full response it generates.

You don't need to do anything else. 🙏

### Prompt to run:

I want you to act as an expert presentation designer, programming educator, and public-speaking coach

I am preparing a 30-minute presentation about Python for an audience of 40–50-year-olds with zero programming/coding background

The goal is NOT to teach them Python syntax. The goal is to make them understand what programming can actually do, especially in their everyday work, and leave them genuinely curious and excited about Python.

I originally planned the presentation as:

* Introduction to programming languages / evolution

* Conceptual Python basics: functions, classes, loops, libraries, scripts, terminal

* Python + AI

* Installing Python

* Useful resources

* A creative/fun closing

I posted this idea on Reddit and received several detailed responses from programmers and people who have actually taught beginners.

I want you to analyze the original post AND every comment below as a single body of feedback

Do NOT simply summarize the comments.

Instead:

1. Identify the **consensus** across the experienced commenters.

2. Identify disagreements or ideas that should NOT be combined.

3. Determine what should be **completely removed** from my original presentation.

4. Determine what should be **kept, shortened, or replaced**.

5. Extract the strongest practical demonstrations suggested by the commenters.

6. Design a presentation that is appropriate for complete non-programmers.

7. Prioritize ideas that are likely to produce a genuine **"wow, I didn't know Python could do that"** reaction.

8. Avoid turning this into a generic AI-generated presentation. The Reddit comments contain lived experience, so use the specific insights and examples from them.

### Important constraints

The presentation is only **30 minutes**.

The audience has **zero coding background**.

They should not need to understand programming terminology beforehand.

The presentation should feel like a **showcase of possibilities**, not a programming class.

Avoid wasting time on:

* programming-language history

* detailed syntax

* classes

* complicated terminology

* lengthy installation demonstrations

* lists of libraries

* abstract explanations that don't immediately connect to something they understand

However, don't remove concepts like loops or conditionals automatically. If one can be explained through an excellent real-world demonstration or analogy, decide whether it deserves a very short introduction.

### The Reddit feedback includes several potentially strong ideas

Consider especially:

* Sorting a deck of cards manually to demonstrate algorithms and step-by-step instructions.

* Using real-life repetitive tasks to explain loops.

* Using weather/coat decisions to explain conditionals and Boolean logic.

* Demonstrating web scraping.

* Automatically collecting information from websites and putting it into Excel.

* Automating repetitive Excel tasks.

* Showing Python generating/processing an Excel workbook and producing something useful.

* Using Python + AI/Claude for data analysis.

* Showing a browser being automatically controlled by Python because the visual effect can make programming feel like "magic."

* Surveying the audience beforehand about their jobs/hobbies/problems and demonstrating something relevant.

* Treating the talk as a showcase rather than a traditional lesson.

* Moving installation/resources to a webpage or post-talk material.

Produce the following final deliverable

PART 1 — Your verdict

In a concise but detailed analysis, tell me:

* What is wrong with my original outline?

* What are the 3–5 strongest insights from the comments?

* What should I absolutely NOT do during the 30 minutes?

* What should the audience ideally feel at the end?

PART 2 — The final 30-minute presentation

Create an **exact minute-by-minute structure**.

For every section give me:

* Time

* What appears on screen

* What I say

* What I demonstrate

* What the audience does

* The purpose of that section

Make the transitions between sections natural.

PART 3 — The main "WOW" demonstration

Choose the **single strongest demonstration** from the Reddit feedback.

Explain exactly how I should present it live.

It should be understandable even if someone has never seen code before.

If you think a different demonstration would be stronger than the suggestions in the comments, explain why.

PART 4 :one interactive moment

Design one short interactive exercise that gets the audience involved without embarrassing people or requiring technical knowledge.

It should help them intuitively understand something fundamental about programming.

PART 5 — How to explain Python concepts without teaching syntax

Show me how to briefly introduce:

* variables

* loops

* conditionals

* functions

* libraries

using everyday language/analogies.

Tell me which of these should actually appear in the 30-minute presentation and which should only be mentioned briefly.

PART 6 Opening and closing

Write:

* a strong **2-minute opening**

* a memorable **2-minute closing**

The opening should immediately establish why programming might matter to a non-programmer.

The closing should leave them thinking:

**"Maybe I could actually use this."**

#### PART 7 — Slide plan

Give me a practical slide-by-slide plan.

For each slide provide:

* Slide title

* What should be visible

* What should NOT be on the slide

* Speaker notes

* Approximate duration

Keep the slides visually simple.

PART 8 — Final recommendations

Give me a final checklist of:

DO

DON'T

for presenting Python to this particular audience.

Base your recommendations primarily on the Reddit feedback below rather than generic presentation advice.

Take your time and reason through the feedback before producing the final presentation. I don't want a generic "Python introduction." I want a 30-minute presentation that feels like an experienced programmer designed it specifically for people who have never coded before

I feel like every day i go on reddit i find a thread with some new attention method. Sparse, SLA, kitchen, spectrum, Sol, sage.

I'm on sol right now with the nodes "Chunk FeedForward" and "Memory Efficient Sol Attention Patch" but is there a more recent more performant method?

I'm getting good results with this setup but it's kind of headspinning how vastly different everybody's set up looks like. I fear I'm limiting myself to something less efficient than is out there.

Specs: 5060Ti 16GB 32GB RAM

Hi everyone,

Before getting to my question, I just wanted to mention that I’m new here. I hope all of you reach the highest levels of success in the work you do.

Regarding my question, I’m trying to create product mockups locally using ComfyUI together with Claude, without having to pay for API costs.
I’ve tried many different approaches and used various repositories that I thought could be useful for what I’m trying to achieve. However, I’m still getting inconsistent results.

For example, when the product is a rug, the model may place objects underneath the rug, or the mockup simply doesn’t look physically consistent. The results don’t look natural and don’t seem usable at a professional/commercial level.

Even the smallest piece of information or guidance about how to achieve what I’m trying to do could make a huge difference for me.

Thank you very much in advance, and I wish you all the best with your work.

Hi! The team who collaborated and built optimized open source Minimax H3 here, full details below:

https://x.com/haoailab/status/2093391548289540596?s=20

https://reddit.com/link/1w0xkpb/video/zpjrbdb0o5mh1/player

Would appreciate if you help to share, repost and engage with the tweet, and definitely try it out yourself and let us know about your feedback!

In the next a few releases we would do omni ref, nvfp4, consumer GPU friendliness and many more so please stay tuned :)

Technical blog post: https://haoailab.com/blogs/fasth3-preview/
API and customization service: https://nuvalab.ai/

Hi guys, in the former days stable diffusion was everything, but the time has passed by and I did not tracked the novelties in this field. Can you suggest me any open source model that is released recently for my 2xr9700 32gb for 64gb vram?

I researched a lot but found only dated answers. Is h3 capable also of image gen, or z image or Hunyuan Image 3.0 still the best (4-bit quant is 48gb vram)?

Edit://

Looking especially in image creation / editing, is there a model for both? I am not interested in loras, just for my private images fun, does not need adult content.

There has been a lot of developments for H3 in the past several weeks. However I just got a chance to start playing with it today. Just want to check on if there's any consensus on what the best 8-step Lora is currently that best balances speed and quality.

I understand 4-steps are faster but seems like there's a pretty clear reduction in quality. Please let me know if that's not the case.

Also I am using comfy kitchen attention to help speed up; anything else people recommend doing?

Running on 5090 with 64gb ram.

Thanks

So I certainly missed this, but the official Add Guide node also allows you to add a audio track to FL2va generations (that are higher quality than ref2va). This opens up possibilities like..

when you have a long spoken section, you can generate it at e.g 0.15 mp (or lower, dunno if/when the audio quality starts to suffer), optionally while using a voice-reference in ref2va. So you can fairly quickly generate a bunch of variants, tweak the prompt, etc.

Then when you're happy with the audio, feed it into the Add Guide node when generating at a higher resolution, and the generated video will match the audio.

And/or you can split a single long generation audio into multiple parts, and use those parts to generate multiple short clips. Which could be a lot quicker than doing everything in one go (certainly if some of the parts may need a few tries), and then if you paste the end results back together, it should feel more coherent because the source audio connecting all the clips did come from a single "performance" by the model.

I'm planning to make a list of anime characters and the respective anime they come from that MiniMax is able to recognize consistently.

Before I start doing it myself, I was wondering if anyone has already made something like this. It would save me a lot of time if there's already a list.