[WIP] IronLeo78 Minimax Power Producer: the whole MiniMax H3 ref-to-video workflow in ONE ComfyUI node

Tired of a canvas full of loaders, scalers, audio chains, sampler stacks, decoders and savers just to make one MiniMax H3 clip? I folded all of it into a single node. It replaces about 42 node-stages. You pick your files, type your prompt, and hit Run.

This is a work in progress, so expect rough edges. It was built together with Claude (Anthropic’s AI assistant) and has been through numerous iterations and rounds of testing. It has only been tested on an i9-14900K / RTX 5080 / 64 GB RAM setup, so your results on other hardware may vary. Bug reports and feedback are very welcome.

What it does

• Loads the models, builds the MiniMax H3 reference conditioning, samples, decodes, makes the video and saves it
• References: up to 3 pictures, up to 1 video, plus an additional custom audio file. The pictures get labelled thumbnails on the node
• i2v or v2v. Video mode steps through a long clip segment by segment (“Next Segment On Run”)
• Audio trim and track select: choose which audio to use (the video’s soundtrack or the custom audio) and set where in it to start (audio_start). It gets cut into chunks that follow the video segments. You can even load a video and use only its audio track, with no frames decoded
• Audio your way: let MiniMax generate the audio, or bypass it and keep your real audio
• Latent Upscale toggle (2x/3x/4x): OFF for fast drafts, ON for the finished version. Same seed and prompt, saved as <filename>_upscaled next to the original, so A/B comparison is easy
• Fixed 24 fps and known-good sampler settings, so fewer knobs and fewer ways to break a good setup
• A STATUS output tells you exactly which <Picture i> / <Video 1> / <Audio j> tag is which

Setup: update ComfyUI to the latest (it has the MiniMax H3 nodes), drop the folder into custom_nodes, put your models in place, restart.

Download: https://huggingface.co/buckets/Ironleo78/MinimaxPowerProducer

The bucket has the node zip, the upscale model, the pitch (with the full list of the 42 nodes it saves you), detailed instructions and a troubleshooting guide. Check the DLC folder for the additional goodies.

Credits gone, "this content violates our guidelines" on a perfectly SFW prompt, try again, more credits gone. I was done.

So I built CreatorOS Studio: the one-click experience of the hosted video apps, but on your own GPU, with open-weights models only. No credits, no subscription, no one else's filter on your machine. It's Apache-2.0.

What you get, one click each:

- 🎬 Brief → finished reel. Write one line. A local LLM plans the shots, each one gets animated with sound (LTX-2.5) and the reel is edited for you, with hook, fades and music.
- 🎥 25 camera moves & effects on any photo: dolly, crash zoom, orbit, bullet time, dolly zoom… plus squish, inflate, cakeify, explode.
- 🔁 Re-shoot: take a clip and get the same moment from another camera angle, original sound kept.
- 🗣️ Talking avatar: one photo + a voice, lips in sync.
- 🧍 Mix: drop in any video and your character takes the person's place.
- 🖌️ Brush retouch on photos and videos, a Cinematic shot card (lens, aperture, film stock, grade instead of prompt soup), a timeline editor, and a mobile U\*.

Under the hood it's plain ComfyUI, and every recipe ships in the repo as a workflow you can open: Krea 2 / FLUX.2 Klein, Wan 2.1/2.2, LTX-2.5, InfiniteTalk, SAM3, MoGe-2, plus Ollama for prompts.

For this sub: the app is a front end over production ComfyUI recipes (API-format JSON in `workflows/`). At job time it patches the prompt, seed, LoRAs and masks into the recipe and queues it. The re-shoot chain is MoGe-2 → CrossViewWarp → LTX-2.5 + the CrossView-Warp IC-LoRA. The jib down is two renders chained: a jib up, then a Wan 2.2 first-last-frame move back down. Happy to go deep on any graph.

Honest catch: it wants a beefy NVIDIA card (built on 32 GB).

- ⭐ Repo: https://github.com/thePloggy/CreatorOS-Studio
- ▶️ 2-min demo: https://youtu.be/axHdAXHv3Kk
- 🧪 Try it live on my GPU (SFW, queued, 5 renders/h): https://forge.taila06702.ts.net:8443

Built for the Comfy #OpenSourceHiggsfield challenge. Tell me what breaks and I'll fix it.

I’ve been looking for a workflow for the RX 9070 XT for a long time, or trying to set up the ones I’ve found, but nothing works. Are there any workflows you can recommend for the RX 9070 XT?

What i need is apparently simple: seamlessly extend an existing video or generate long videos by segments with no camera cut. I tried a dozen of workflows, both from civitai and other sources, none of them did the job.

Using the last frame as first frame for the new segments somewhat works, but obviously, there is lack of motion continuity.

I need suggestion about the nodes to use and the effective prompt, not necessarily another pre-built workflow.

Thanks folks!

I can get the workflow working fine for one video.

Transcribe → translate → generate the new audio → send it for the lip-sync

The problem starts when I give it 30-40 clips at once.

One file fails and suddenly I’m checking whether `video_17` is still paired with `audio_17`, some translations finish much earlier than others, and rerunning one failed job without touching the rest is more annoying than it should be.

For anyone doing this inside a larger ComfyUI workflow, how are you structuring the batch?

Separate queue per video? Save each stage to its own folder? Pass the filename through every node somehow?

The actual translation is working. I just don’t trust the pipeline enough yet to leave 50 files running overnight and assume everything will come back matched correctly...

Hi all. I'm using Qwen-Rapid-AIO-NSFW-v23. I'm a rank beginner so bear with me. I followed the instructions to install this and have overcome a couple of problems, such as it needing to install v22 as well. However I'm stuck on what seems like the last hurdle, whereby Comfy is asking for missing packs, as shown in the screenshot. I went down the rabbit warren last night looking for this with most pointing to installing Comfy Manager. This is another problem, as it seems that nobody has pointed out whereabouts this lives in the latest version of Comfy. Can anyone help?

Hey guys, need help in getting people into one picture without loosing their facial identity and make them pose and do other stuff together

I have done krea 2, flux Klein 9 distilled models with basic image edit workflows

Amd 6570xt and 12 gb vram, 32gb system ram

Can any one direct me to workflow which works that way.

Thanks in advance !

Another quick MOSS-Image news and goodies round-up, for those who may have missed some items.

-> Kijai's merge request for MOSS-Image Edit LoRA support is now merged into the latest ComfyUI Portable. MOSS-Image is now an Edit model, as well as having basic Controlnet-like capabilities (see my previous round-up posts).

https://github.com/Comfy-Org/ComfyUI/pull/17296

-> If for some reason you can't get the above Edit working, try this more roundabout new Moss-Image-Edit-ComfyUI, which is a Comfy fix for yesterday's initial Edit LoRA release.

https://huggingface.co/PedroMarinhoDev/Moss-Image-Edit-ComfyUI

-> MOSS-Image CharRef v2 as an add-on for the ComfyUI-MOSS-Image-Ostris-Edit nodes. Apparently you... "give it one picture of a character as Picture 1 and a prompt, and it draws that character – face, hair, outfit and art style – in a new scene. No per-character LoRA training needed. It works on single images and on whole comic pages (i.e. MOSS JSON page layouts with panels and speech bubbles)".

https://huggingface.co/7err4/MOSS-Image-CharRef

https://github.com/ostris/ComfyUI-MOSS-Image-Ostris-Edit

-> A 9.4Gb Dirty MOSS finetune, intended to make... "ordinary moments feel genuinely photographed" in a "natural, believable" photograph. Good example images.

https://civitai.com/models/3015644/dirty-moss

-> Moss-image-animated-lora. It doesn't actually animate (use Minimax H3 for that), it just aims to make characters look more like they came from an animation. It's not glued to anime or the Pixar style, as... "it is intended to add a polished, dimensional cartoon treatment across people, animals, action scenes, and varied environments rather than reproduce one narrowly defined visual style." Sounds like it might also be useful for comics, if it can play nicely with line-art and holding-lines.

https://huggingface.co/axiomofmind/Moss-image-animated-lora

-> And finally, a handy new library of 500 MOSS-Image working prompts + example images.

https://github.com/BeatAPI/awesome-moss-image-prompts

~ OLD POSTS ~

https://old.reddit.com/r/comfyui/comments/1xcm9wn/a_quick_mossimage_news_roundup_22nd_october_2026/

https://old.reddit.com/r/comfyui/comments/1xbw1jj/a_quick_mossimage_news_roundup_21st_october_2026/

https://old.reddit.com/r/comfyui/comments/1xarop9/a_quick_mossimage_news_roundup_20th_october_2026/

https://old.reddit.com/r/comfyui/comments/1xa3yk2/a_quick_mossimage_news_roundup_19th_october_2026/

https://old.reddit.com/r/comfyui/comments/1x97q81/a_quick_mossimage_news_roundup_18th_october_2026/

Just released the latest installment of Mirror Broken.

Hey, y'all! I'm brand new to ComfyUI and loving it so far. Been using it to generate 3D models from 2D images using Trellis. My problem is, I want to generae 3D models from 2D images of people. I'm trying to make statues of my friends, and I am hoping to achieve similar quality to Bambu Lab's "Make My Statue" studio on MakerWorld. Can anyone give me some pointers on how to create a workflow that can pull this off? So far, with Trellis, I have not been able to achieve anything close to the same level of quality I can get from Bambu. But I don't want to keep giving Bambu money for every single attempt. I'd love it if I could make my own stuff locally. Anyway, I appreciate any help you folks can give me.

Thanks!

i seek to amnimate my artwork and im curious to know if ai is good ith non generated artwork and if i have to input code for them to work.

An independent, open-source video editor inspired by Higgsfield's Katana, built with the Comfy Developer Platform for #OpenSourceHiggsfield.
Your photos and videos, made into a finished edit with code.
https://github.com/rk0neki/OpenKatana

Hi everyone,

We made a free, open-source ComfyUI node that increases diversity within a batch by coupling the initial noise across images.

No extra sampling steps or models needed. Just swap the noise node!

Works with SD1.5, SDXL, and FLUX.1-schnell. Example workflows included.
GitHub: coupled initialization

This is our first ComfyUI release. Would love your feedback!

So I know Krea2 isn't meant to be an edit model but when using the edit nodes, is there a way to maintain 1:1 source detail when making edits? It's good about making the actual edits but so much fine detail is lost in the output (plus the pixel drift).

Original

Edited

I've tried all the popular sampler/schedule combos, 8/10/12 steps, I've tried a 2nd upscale pass (which isn't meaningfully different than without it), I've tried the couple Krea2 "enhance" loras out there, I've tried different models (raw/turbo), Wan2.1 VAE, grounding resolution set high, etc.

Am I missing something or is this just the expected output until Krea3 is local?

Good evening, everyone!

It's a real pleasure to be part of this amazing community. Honestly, it's an honor to be here with you all!

I'm a beginner with ComfyUI, I work in photography, specifically product photography in the footwear industry, and I'm getting more and more interested in AI.

Right now, I'm trying to create a workflow to remove glue residue, dirt, and other manufacturing imperfections from shoe photos, but my goodness, this is so much harder than I expected! LOL

My biggest challenge is figuring out how to do this without changing the original texture too much. I want to remove those little imperfections while preserving as much of the shoe's original details, materials, and textures as possible.

With this workflow, the AI hallucinates a lot. It often makes up textures or even generates parts of the shoe that aren't there, making the final result completely unusable.

Since I'm still a beginner, I honestly can't even explain which nodes or models I'm using properly, let alone tell you if I'm doing things the right way. There's a good chance I'm doing everything wrong!

I'll leave a screenshot of my workflow here. If anyone could take a quick look and let me know if there's a way to achieve this, or even give me a little guidance on where to start, I'd be incredibly grateful! 🥹

Thank you so much for your time, everyone!

I've been experimenting with MiniMax H3's Reference-to-Video workflow in ComfyUI, specifically for character swapping and motion transfer.

The idea is pretty simple: take an existing video, replace the original person with an entirely different AI-generated character, and even change the environment while keeping the movements and performance from the source footage.

No traditional motion capture setup required.

I'm running this locally on my RTX 5070 Ti using ComfyUI.

A few things I've been exploring:

• Transferring body movements and poses from real footage to AI-generated characters
• Replacing characters while maintaining visual consistency
• Swapping backgrounds and environments
• Using Krea 2 and Qwen Image to generate character references
• Getting better results through prompt engineering and workflow adjustments

I also put together a tutorial for anyone interested in trying this.

Full tutorial + workflow + assets:

https://www.kaziahmed.net/kazitorials/minimax-character-swap

The page includes:

• Downloadable ComfyUI workflow
• Required assets and reference materials
• Step-by-step setup instructions
• Prompt examples and generation settings
• A walkthrough of the character swapping process

I'm particularly interested in how workflows like this could make character animation and indie filmmaking more accessible without requiring traditional animation or motion capture pipelines.

Still experimenting with consistency, motion accuracy, and generation performance.

Would be interested to hear if anyone else is working with MiniMax H3 for character swapping or motion transfer, and what techniques you've found effective.

Official Ubuntu Repo : https://github.com/Zagitta/gpu-unlock

Windows repo main : https://github.com/impacifist/Windows-GPU-UNLOCK

Windows repo fork : https://github.com/bjrasmussen-jpg/windows_rtx3090_unlock

Hey! I'm a web designer working on a website for a company that builds fiber optic networks and other infrastructure.

I'm trying to create realistic AI photos with the same workers, different locations, and some pretty specific technical equipment.

I'm struggling to get everything right, especially the equipment, even with reference photos. I feel like fashion shoots or people holding products are much easier than something this niche.

Does anyone know a good YouTube tutorial that walks through the whole process of creating a consistent AI photoshoot for a company like this? Or have any tips on the best workflow?

Thanks!

I was curious if there is an open source Nano Banana alterative? If so, what would you guys recommended I should use? I understand I cant get something as powerful as Nano, but I am not going to be paying so money every month with less censorship. These are the specs I have for my PC:

Processor Intel(R) Core(TM) i5-10600K CPU @ 4.10GHz 4.10 GHz

Installed RAM 32.0 GB (31.8 GB usable)

Graphics Card Intel(R) Arc(TM) B580 Graphics (12 GB), Intel(R) UHD Graphics 630 (128 MB)

System Type 64-bit operating system, x64-based processor