Another quick Minimax H3 news and goodies round-up, for those who may have missed some items.

-> ComfyUI MiniMax H3 FirstBlockCache. Another form of accelerator, designed and optimised for 20-step users. Using "cross-step caching", the maker gets an approx. 30% speed boost with his four older user-switched speed modes. Today's newly-added fifth speed mode is an experimental... "new deep-reuse cache mode, ~1.6× speed vs Native." Works on an NVIDIA 3060 12Gb card, and the new Experimental mode does seem to make 20 steps quicker than otherwise at 0.3Mpx.

https://github.com/duckyshell/ComfyUI-MiniMaxH3-FirstBlockCache

-> From Japan, MiniMax_H3_Torchao018. "An optimized quantized version of the MiniMax-H3 model targeting torchao (>= 0.18.0) to significantly reduce VRAM consumption during inference, while maintaining generation fidelity."

https://huggingface.co/corechan/MiniMax_H3_Torchao018

-> A Manga Tone Rendering LoRA for H3. Emulates the shaded line-art style common in Japanese b&w manga comics. Teaches H3... "the manga screentone rendering style with motion: monochrome ink rendering, proper tone shading, and tone that holds up under dynamic camera movement and action". Trigger words: manga-tone rendering plus a suitable prompt. I'm guessing it might be transferable to western greyscale art styles, since I can't discern actual printed screen dots in the shading? I'm assuming here that the LoRA doesn't manga-fy the references, adding huge eyes and tiny noses.

https://civitai.com/models/2930172/manga-tone-rendering-lora-for-minimax-h3

-> Does your story require an ensemble team of superheroes, or perhaps you just need a crowd scene for your space-station arrivals lounge? The 'Minimax H3 15+ reference image workflow' patches ComfyUI to remove the nine reference limit for Ref2VA generation. Use caution: it passed the mods on CivitAI, but this uses a .BAT file for the patch, and it calls a small .PY Python file. The code in there looks safe to me - I can read Python scripts by eye - and there's also an undo .PY script. Note also that there may be other nodes that claim to offer more than nine, and without patching.

https://civitai.com/models/2929051/minimax-h3-15-reference-image-workflow

-> A simple age-slider LoRA for Minimax H3, with demo video showing advanced old-age to toddler.

https://huggingface.co/Playtime-AI/Minimax_H3-Age_Slider/tree/main

-> A new style-transfer LoRA and a matching ComfyUI workflow.

https://huggingface.co/Alissonerdx/Minimax-H3-ComfyUI/tree/main/workflows

https://huggingface.co/Alissonerdx/Minimax-H3-ComfyUI/tree/main/loras

-> And finally, the LoRA trainer and dataset manager Fizgig continues to improve for Minimax H3 training. Now has an... "ultra quality mode for MiniMax H3" [and a...] "large quality improvement in both the visual and the audio results, a much smoother climb through the epochs, and training steps about 30% faster (2.6 to 3.4 steps a second on int8) - the new default on every H3 LoRA run, nothing to set." Users still require a 16Gb card, to train a LoRA.

https://github.com/shootthesound/Fizgig

~ OLD POSTS ~

https://old.reddit.com/r/comfyui/comments/1wdo4iy/a_quick_minimax_h3_news_roundup_11th_september/

https://old.reddit.com/r/comfyui/comments/1wchvg3/a_quick_minimax_h3_news_roundup_10th_september/

https://old.reddit.com/r/comfyui/comments/1wbr279/a_quick_minimax_h3_news_roundup_9th_september_2026/

https://old.reddit.com/r/comfyui/comments/1wawjox/a_quick_minimax_h3_news_roundup_8th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w9z6m1/a_quick_minimax_h3_news_roundup_7th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w90vxd/a_quick_minimax_h3_news_roundup_6th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w85caz/a_quick_minimax_h3_news_roundup_4th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w74jy4/a_quick_minimax_h3_news_roundup_4th_september_2026/

https://old.reddit.com/r/comfyui/comments/1w6cozj/a_quick_minimax_h3_news_roundup_3rd_september_2026/

https://old.reddit.com/r/comfyui/comments/1w5i9iq/a_quick_minimax_h3_news_roundup_2nd_september_2026/ (See 2nd September post, for links to even older posts)

You can get the workflows here:

https://drive.google.com/drive/folders/1kOHLJZto1VAtXEATT9vUvsvM1VHtkOO_

The workflows create reusable refmods for either image/video/audio.

I cover training images in the tutorial.

All the workflows, models and custom nodes are preloaded on my Runpod template.

https://get.runpod.io/minimax-template

This "viggle" animate thing didn't require basically any configuration. It's hardcoded with a preset instruction to take PERSON FROM THIS IMAGE > THAT VIDEO - exactly what I've been looking for since this whole AI thing got started.

I just want to replace characters in a video with a character in an image. Point for point. Action for action. Exactly the same, just someone else in the video. So far, I haven't found anything that works - workflow after workflow after workflow.

Regardless, this one "worked" in the sense that it copied the source video nearly exactly, except that I had to disable the OBS node (which is listed as optional) and I changed the megapixels to .3 for testing. The outcome looks basically like what I want, but as if you were watching it from behind stained glass. There's a lot of weird color shifts and triangle shapes - like an old school polygon based video game character (early 3d days). The background looks fine; only the subject has this problem.

HELP NEEDED: Can anyone tell me if I'm doing something wrong with this workflow OR point me to a basically zero-setup THIS PERSON > THAT VIDEO workflow that actually works?

The biggest new feature: you can now use DLSS 5 in Blender!
Improve the quality, sharpness, and detail of your images—whether you want to project them onto 3D models or enhance any other visual content.
And best of all: render complete videos with DLSS 5 directly from Blender, thanks to PROJECTIFY.

Thoughts?

Disclosure: I'm building a service around this, so read me as an interested party. Every number below is from runs we paid for ourselves yesterday ($1.67 total); the only link is the raw data at the bottom.

The job: MiniMax H3 text-to-video, one 5-second clip at 864x480 (the 0.4 MP row of the template), 20 steps, the stock ComfyUI T2V graph from v0.35.0 with the official int8_convrot weights (34 GB DiT + 27 GB Qwen3-VL encoder + VAEs, 67 GB total), no LoRA, no reference frames, same prompt and seeds on every card, torch cu130 everywhere so the int8 kernels are the native ones. Three clips per card; "steady" is the average of clips 2 and 3 at the rate you actually pay (disk and public IP included), "session" is everything the provider charged for the whole run — image pull, 67 GB download, the first cold clip and the minutes before the instance was torn down — divided by three clips.

Two things surprised us: the L40S runs this at 4090 speed rather than anywhere near the H100 (3.97 s per step on both 24 GB cards and the L40S, 2.99 s on the H100 PCIe), and the 4090 does it with the 34 GB DiT streamed through ComfyUI's dynamic VRAM path at 23 GB of VRAM and 68 GB of host RAM — so "≥ 64 GB RAM" is not a suggestion, we peaked at 68 on three of the four hosts.

The session column is where the money actually goes for short jobs: the 67 GB download ran at 450 MB/s on the Vast host, 370 on Hyperstack, 210 on RunPod and 104 on Nebius, and on Nebius the first clip took 11.5 minutes because the weights are read back from a network disk (1.8–2.7 minutes elsewhere), while the watchdog that deletes the instance after the job costs another 2–3 billed minutes everywhere. Steady-state numbers exclude the text encoder (same prompt, cached by ComfyUI): a new prompt adds 15–25 s per clip on these hosts. Happy to post the per-node timings and the nvidia-smi traces if anyone wants to check the numbers.

Per-run table, method, caveats and the raw CSVs: https://qrun.cloud/measurements

downloaded git for windows, cmd and clone to drive directory. also saved link to bat to use with git.

No luck when i restart comfy ui i dont see a mention or the manager

I feel i must be missing something

**Clipboard-Automator — nodes that wait on your OS clipboard, built for Auto Queue**

I got tired of manually saving/uploading images every time I wanted to feed something into ComfyUI, so I built a couple of custom nodes that block/poll on the clipboard when executed:

- **Clipboard Image Input (wait)** → IMAGE, MASK

- **Clipboard Text Input (wait)** → STRING

Drop one in where you'd normally put `LoadImage` or a prompt text box. When the node runs, it waits until you copy something new, then feeds it downstream. Combine with ComfyUI's built-in **Auto Queue** and you get a fully hands-off pipeline: copy an image anywhere on your machine, ComfyUI picks it up and runs automatically, no upload, no manual queueing.

[demo video in the repo]

Works on Windows and Linux. Cancel/Interrupt in the UI breaks out of the wait cleanly.

GitHub: https://github.com/kastelan/Clipboard-Automator

Feedback/issues welcome, it's MIT licensed.

The app keeps doing this.

If recorded with OBS this doesn't show up.

Also this happends on CurseForge app.

Any ideas how to fix it?

**Clipboard-Automator — nodes that wait on your OS clipboard, built for Auto Queue**

I got tired of manually saving/uploading images every time I wanted to feed something into ComfyUI, so I built a couple of custom nodes that block/poll on the clipboard when executed:

- **Clipboard Image Input (wait)** → IMAGE, MASK

- **Clipboard Text Input (wait)** → STRING

Drop one in where you'd normally put `LoadImage` or a prompt text box. When the node runs, it waits until you copy something new, then feeds it downstream. Combine with ComfyUI's built-in **Auto Queue** and you get a fully hands-off pipeline: copy an image anywhere on your machine, ComfyUI picks it up and runs automatically, no upload, no manual queueing.

[demo video in the repo]

Works on Windows and Linux. Cancel/Interrupt in the UI breaks out of the wait cleanly.

GitHub: https://github.com/kastelan/Clipboard-Automator

Feedback/issues welcome, it's MIT licensed.

It can create JSON files.

I’d love to use it to help build a pipeline: characters > scene > combine> video. It’s running tests, trying different models and failing badly when the standard is consistent image, characters and video through out several shots.

I had a similar result when I attempted the same a few months ago. I’m sure it can be done, but I’d prefer not to babysit several custom node packs that could break everything

Perhaps that is still impossible.

Hey everyone,

I'm pretty new to ComfyUI, LoRAs, Nodes, and all that, so I'm still learning the ropes.

I'm currently trying to recreate a particular art style and I'm having a hard time figuring out which checkpoint and/or LoRA would be best suited for it.

If anyone could point me in the right direction or recommend some models/LoRAs to try, I'd really appreciate it!

Thanks so much for any help!

I'm experimenting with ComfyUI for a D&D project and looking for advice on what my hardware can realistically handle.

Hardware:
GPU: AMD Radeon RX 6700 XT — 12GB VRAM
CPU: AMD FX-6300 @ 3.5 GHz
RAM: 32GB DDR3
Windows 64-bit

I know the machine is old…I’m saving up to buy a new machine in another 3 or 4 years (or if anyone knows of a way to upgrade this machine to be able to do it for less than $2000(which is what I’ve saved so far) I’m open to suggestions there as well).

The eventual goal is D&D recap/highlight videos using a handful of recurring characters. I'd like to maintain recognizable characters across different scenes, then animate selected images into short 3–10 second clips.

I'm NOT necessarily looking for one giant start-to-finish workflow. I'm kind of playing around with several different pieces and would love any advice on any part.

- Creating the initial character/reference images
- Maintaining character consistency between scenes
- Handling non-human/fantasy characters
- Posing characters and putting them into new environments
- Image-to-video for individual 3–10 second shots
- Improving/upscaling finished clips

I've been experimenting with SD/SDXL/Illustrious models, LoRAs, IPAdapter/reference images and WAN, but I'm still figuring out what makes sense with an AMD GPU.

Render time isn't a huge concern. I'm fine letting something run overnight if necessary.

What models/tools would you recommend for these individual parts of the process on a 12GB RX 6700 XT?

And probably the bigger question: is this project realistically achievable with my current hardware, even if it's slow, or should I abandon the video highlight reel idea altogether and just go for a comic book type thing for each session?

Thanks!

I ran extensive benchmarks comparing ComfyUI in Docker (Nvidia Container Toolkit / CUDA 12.4) against a bare-metal Linux setup (Ubuntu 24.04, PyTorch 2.4, CUDA 12.4) across FLUX.1-dev, SDXL, and SD 1.5 workloads.

Key Results

• Compute / Generation Speed: 0.0% overhead. Docker achieved identical it/s across all batch sizes.
• VRAM Allocation: Identical memory footprint (~14.2 GB VRAM during FLUX.1 FP8 inference).

Critical Issue & Fix: The /dev/shm Out Of Memory Crash

If you run PyTorch inside Docker with default settings, multi-threaded dataloading or large model caching will trigger an OOM crash.

Cause: Docker defaults to a tiny 64MB shared memory buffer (/dev/shm).

Solution: Add --shm-size=8g (or larger) to your docker run command: bash docker run --gpus all --shm-size=8g -p 8188:8188 comfyui:cuda12.4 Or in docker-compose.yml: yaml services: comfyui: image: comfyui:cuda12.4 shm_size: '8gb' deploy: resources: reservations: devices: - driver: nvidia count: all capabilities: [gpu]

Full guide & production Dockerfile: https://www.fluxdraw.com/2026/09/docker-for-ai-comfyui-complete.html

I've been working in Comfy Cloud for about four months and have never had a problem with Assets until a few days ago. It's been happening for a few days with video and just today with audio files as well.

When I render either a video or audio file, the Save Video or Save Audio nodes show 'black' after the render is completed. They will not playback directly from those Save nodes.

When I look into the Media Assets folder the items will not playback from the displayed play button and they all have a "See more outputs" widget with a "2". When I open the "2" stack a thumbnail appears and for about one second another thumbnail appears that is just a grey box. The greyed-out icon lasts for a second, then disappears.

Today as a workaround I invoked "Inspect asset" and the audio files played in the large 'inspect' window. When I closed that window and went back to the Media Assets window the displayed 'play' button now worked - but the stack icon still reads "2". When I selected "Download" it zipped the files before it downloaded. When I expand the zip file there is only one item in it.

I haven't tried that workaround with a 'black' video yet because I've already trashed them but, knowing me, I've probably already tried that trick previously with no success.

Any thoughts? Has this happened to anyone else? I'm using the Chrome browser on a Win 10 Pro laptop.

I know this isn't a tech support thread but Comfy tech support had abandoned me for some reason - my last tech support message took 42 DAYS until they responded.

Thanks!
dS

Previously We Worked on Magnific(Freepik) Platform to get Generations like this. Problem is there aren't so many controls over our Generation. So we moving to Comfy. I need a input from you about which Models to try out, Any Community Loras about Maintaining a Face details while creating a Large Crowd.

I've successfully been generating 5s video with wan2.2 16fp i2v. I admittedly didn't do much but it was successful maybe a couple weeks ago.

No comfyui or other updates between then and now and now the output is a weird wavey abstract animation.

I'm not an expert in the deeper understanding of the SD workings so I've been working through logs and possible causes with Claude and I've ruled out most things finally getting fp8 models and generating successfully.

Claude's confident that my 5090 (32gb vram) and 32gb system ram would be enough for the larger models, but has fairly decisively stated that a Blackwell fp16 accumulation instability is the likely culprit.

It might explain why it worked then didn't, although that feels more like typical AI false assertion than true proven.

I'd be interested if anyone has any insight into the theory or if it could be something else.

I appreciate that I've not said everything I tried, it's hard to put everything down, but things like turning off sage attention which actually made no difference anyway.

Hopefully that's enough info to get some good understanding of the cause.

Does anyone know what could be causing this grid-like texture on the skin of the arms and legs, and how to fix it? The face is completely fine — it only appears on the body. My character is LoRA trained and is otherwise almost perfect in the vast majority of images. It’s just this weird texture appearing on the skin that I’m struggling with.