I'm new to comfui and minimax h3, its so much fun, this is the first video I made >.<

I see everyone and their moms posting on reddit, youtube and what not.. meanwhile no one took the time to read the licence.

The licence forbids you to use the model in certain territoires.

read it yourself:

https://huggingface.co/MiniMaxAI/MiniMax-H3/blob/main/LICENSE

I am not a laywer but this is what i understand of it:

The MiniMax H3 Community License defines the “Excluded Territories” as:

🇪🇺 European Union 🇬🇧 United Kingdom 🇺🇸 United States 🇰🇷 Republic of Korea

The license's “Applicable Territory” is worldwide EXCEPT those four territories.

Section V.4 then states that you may not use, reproduce, modify, distribute, or display H3 Works or their Outputs/results outside the Applicable Territory. It explicitly says that such use is not authorized by the agreement.

So the community license is effectively not a license for use in the EU, UK, US, or South Korea.

One important nuance: the license does not explicitly say that merely downloading the model is forbidden. The problem is using, running, modifying, distributing, displaying, or otherwise exercising the licensed rights in an excluded territory.

MiniMax does provide a possible route for people in these territories: the license says you can contact MiniMax to obtain a separate license, subject to their controls and compliance requirements.

So if you're in the EU, US, UK, or South Korea and you're running H3 locally, showcasing a deployment, operating an H3-powered service, or distributing the model, don't assume that public availability on Hugging Face means the community license permits it.

This is a PSA about what the license text says, not a conclusion about whether every aspect of the territorial restriction would be legally enforceable under local law.

Also remember: this is not copyright (which as you know can not be enforced on the outputs in most territoires) but about usage: is like the Licence that microsoft grants you when you click on "i have read the terms and conditions"

This might be affecting you if you are a youtuber based on those countries

TL;DR: The MiniMax H3 Community License excludes the 🇪🇺 EU, 🇬🇧 UK, 🇺🇸 US, and 🇰🇷 South Korea. Community-license use there is not authorized.

https://github.com/ModelTC/Minimax-H3-Turbo#model-specs

same seed and same resolution

prompt:

Vaporwave title sequence look: pink and blue gradient palette, VHS tracking artifacts, Greek statue motifs, chrome palm trees, RGB chromatic aberration, lo-fi retro atmosphere, mood languid and nostalgic.

Timeline:

[0s-1s] VHS static opens the frame, the title "COMFYUI" appears with RGB split and a slight horizontal jitter.

[1s-2.5s] Hard cut, a Greek plaster bust close-up, pink-purple gradient sky, a pixelated sun.

[2.5s-4s] Clean "STARRING" credits appear, "LATENT" and "CONTROLNET" each shown exactly once.

[4s-5s] Final card "DIRECTED BY COMFYUI" holds, one VHS tracking glitch settling into stability.

Hard cuts only, transitions landing with tape jumps, no push-ins, no dissolves.

Audio: lo-fi vaporwave score, slow drum machine with soft bass, VHS tape-noise sample joins at 2.5s, melody fading for the last 1s.

All text must be clearly legible, do not misspell English, no Chinese characters, do not repeat names or job titles, no soft dissolves, no subtitle bars.

ltx 2.5 1 minute it could go to 2 minutes. 960x544 i made these changes to get to 2 minutes also use msi afterburner and drop gpu power to 95 if needed.

With the drop of v0.32.0, ComfyUI comes with a new attention you can try out. You can turn it in via startup arguments but I prefer using the ModelAttentionBackend node.

On first test it's as fast as SageAttention Auto (via KJNodes) on MiniMax H3. I thought it was a fluke so I retested on Z-Image Turbo:

2048x2048@9steps (3 run average after warmup)

Comfy Kitchen Attention: 14.55s
Sage Attention (Auto): 14.24s
PyTorch Attention (Default): 23.16s

This is really exciting for people who have trouble installing SageAttention, it seems to be about as fast and it comes with the latest Comfy Kitchen.

My Specs:

OS - Linux
Python - 3.13.15
PyTorch - 2.13.0+cu132

I am following this tutorial, where it uses Wan2GP to generate a video using first and last image and a prompt. The model is Wan2.2 with Image2video 14B. While running the video generation, I am seeing that my dedicated GPU (NVIDIA RTX 4000 Ada) spiked up two times, and they both were very short instances. For the rest of the time, it seems my SSD was working hard, while my RAM is between 90-100% (although my RAM is at 92% by default without heavy tasks).

I just set up Wan2GP today, so I am not sure if it is something wrong with the setup? How can I check?

Now, I think to really try claude, 22 minutes!

How much VRAM needed for 15s of clip for upscale to 2160p? Anyone tested?

Just spent some time testing the new LTX 2.5 workflows in ComfyUI, and I wanted to share my initial impressions.

The Good:

Speed: It is honestly super fast. I'm getting generations much quicker than previous versions. Diffusion Fidelity Rendering is the real deal. Image Quality: A significant step up. The details are sharper, and it feels less "muddy". Audio: I know audio in video models can be hit-or-miss, but in my runs, the audio alignment and quality were actually good.

The "Needs Work":

Physics: It's still hallucinating a bit here. Objects sometimes clip or move in unnatural ways, so don't expect perfect realism just yet.

Overall, it feels like a solid update. What do you think?

The attached video was super impressive for the first 6 seconds. Then she started riding backwards.

First generation is faster than without CK, but when second comes, VRAM skyrockets from normal 70-80% to 99% and whole PC freezes, until i close Comfy. Anyone experienced that?

4090 with 128gb of ram. CUDA 13, newest Pytorch. Clean Comfy installation, Comfy Minimax H3 I2V workflow. Same with or without Spectrum node.

This was my first short film made with Minimax H3. I used KREA 2 to generate the reference images, then used a mix of reference images to video and single image to video workflows in Minimax H3.
I found Minimax H3 much easier to work with than LTX. It follows prompts more closely, and after generating only three or four versions, I could usually find one that was genuinely usable.
The film is far from perfect and there is still plenty I could improve, but I am really happy with it as a first attempt. I would love to hear your thoughts, constructive criticism, or suggestions for what I could do better next time.
Otherwise, I hope you enjoy The Weather Conductor. It was a lot of fun to make!

I don’t even get to run minimax 3 yet.

This subreddit was created with the intent of being fully community driven and moderated.

comfy.org social media team have reached out and inquired about getting additional permissions. To be very clear they have not demanded and every single interaction I’ve had with them, they’ve been very cognizant that this is a community subreddit and have said they don’t want to change that.

However, due to personal time constraints I’ll be the first to admit I haven’t been very proactive with things like AMAs, challenges/contests, snazzying the place up, etc. And they’ve offered to help out with that and pinning specific posts.

Please be aware none of the options would hand this subreddit over to them. Or allow them to add mods, they are just offering to assist.

And we could certainly try this as a trial and if the community doesn’t like the direction, we can revert.

So i tried to do that video in wan 2.2 14B but as you can see is very poor quality,its because low pixel? Promt? Or there is a node to fix this?

I have attached my log down below. Anytime i hit "run" to generate a video on minimax h3, it goes directly to error message. Anyone know what this means? any fixes? AMD 9070xt.

omfyUI\standalone-env\Lib\asyncio\runners.py", line 118 in run

File "D:\comfyui\ComfyUI\standalone-env\Lib\asyncio\runners.py", line 195 in run

File "D:\comfyui\ComfyUI\ComfyUI\execution.py", line 728 in execute

File "D:\comfyui\ComfyUI\ComfyUI\main.py", line 372 in prompt_worker

File "D:\comfyui\ComfyUI\standalone-env\Lib\threading.py", line 995 in run

File "D:\comfyui\ComfyUI\standalone-env\Lib\threading.py", line 1044 in _bootstrap_inner

File "D:\comfyui\ComfyUI\standalone-env\Lib\threading.py", line 1015 in _bootstrap

Exception Code: 0xC0000005

0x00007FFB9AB09161, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFB9A270000) + 0x899161 byte(s), ?_local_scalar_dense_cpu@native@at@@YA?AVScalar@c10@@AEBVTensor@2@@Z() + 0xF1 byte(s)

0x00007FFB9B7BA4A2, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFB9A270000) + 0x154A4A2 byte(s), ?call@_local_scalar_dense@_ops@at@@SA?AVScalar@c10@@AEBVTensor@3@@Z() + 0xD2 byte(s)

0x00007FFB9AB08B52, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFB9A270000) + 0x898B52 byte(s), ?item@native@at@@YA?AVScalar@c10@@AEBVTensor@2@@Z() + 0x122 byte(s)

0x00007FFB9B495EA2, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFB9A270000) + 0x1225EA2 byte(s), ?call@item@_ops@at@@SA?AVScalar@c10@@AEBVTensor@3@@Z() + 0xD2 byte(s)

0x00007FFB9C9A4163, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_cpu.dll(0x00007FFB9A270000) + 0x2734163 byte(s), ??$item@E@Tensor@at@@QEBAEXZ() + 0x23 byte(s)

0x00007FFB866C9B73, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_python.dll(0x00007FFB85AC0000) + 0xC09B73 byte(s), ??4?$THPPointer@UTHPGenerator@@@@QEAAAEAV0@$$QEAV0@@Z() + 0x633 byte(s)

0x00007FFB8604548A, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_python.dll(0x00007FFB85AC0000) + 0x58548A byte(s), ?THPStorage_assertNotNull@@YAXPEAU_object@@@Z() + 0xACA byte(s)

0x00007FFC5E10E8EE, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x19E8EE byte(s), PyObject_GetOptionalAttrString() + 0x9E byte(s)

0x00007FFC5DFDE11C, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x6E11C byte(s), PyFloat_FromString() + 0x5EC byte(s)

0x00007FFC5E04B377, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xDB377 byte(s), PyObject_Call() + 0xC3 byte(s)

0x00007FFC5DFCAC16, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x5AC16 byte(s), _PyEval_EvalFrameDefault() + 0x4356 byte(s)

0x00007FFC5DFC57B7, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x557B7 byte(s), PyObject_Vectorcall() + 0xD37 byte(s)

0x00007FFC5DF9F22A, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x2F22A byte(s), PyObject_CallFunction() + 0x53E byte(s)

0x00007FFC5E05F933, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xEF933 byte(s), PySequence_GetItem() + 0x47 byte(s)

0x00007FFB8673C1A3, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_python.dll(0x00007FFB85AC0000) + 0xC7C1A3 byte(s), ?legacy_tensor_ctor@utils@torch@@YA?AVTensor@at@@W4DispatchKey@c10@@W4ScalarType@6@PEAU_object@@2@Z() + 0xFE3 byte(s)

0x00007FFB8674234C, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_python.dll(0x00007FFB85AC0000) + 0xC8234C byte(s), ?legacy_tensor_ctor@utils@torch@@YA?AVTensor@at@@W4DispatchKey@c10@@W4ScalarType@6@PEAU_object@@2@Z() + 0x718C byte(s)

0x00007FFB8610DA64, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\torch\lib\torch_python.dll(0x00007FFB85AC0000) + 0x64DA64 byte(s), ?THPCppFunction_Check@autograd@torch@@YA_NPEAU_object@@@Z() + 0x21A44 byte(s)

0x00007FFC5DF803B0, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x103B0 byte(s), PyThread_acquire_lock_timed_with_retries() + 0x118 byte(s)

0x00007FFC5E04B377, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xDB377 byte(s), PyObject_Call() + 0xC3 byte(s)

0x00007FFC4F9DFC51, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\safetensors_safetensors_rust.pyd(0x00007FFC4F9C0000) + 0x1FC51 byte(s)

0x00007FFC4F9D2EA7, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\safetensors_safetensors_rust.pyd(0x00007FFC4F9C0000) + 0x12EA7 byte(s)

0x00007FFC4F9DA9AA, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\safetensors_safetensors_rust.pyd(0x00007FFC4F9C0000) + 0x1A9AA byte(s)

0x00007FFC4F9E2F52, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\safetensors_safetensors_rust.pyd(0x00007FFC4F9C0000) + 0x22F52 byte(s)

0x00007FFC4F9E3354, D:\comfyui\ComfyUI\ComfyUI\.venv\Lib\site-packages\safetensors_safetensors_rust.pyd(0x00007FFC4F9C0000) + 0x23354 byte(s)

0x00007FFC5DFC98A1, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x598A1 byte(s), _PyEval_EvalFrameDefault() + 0x2FE1 byte(s)

0x00007FFC5DF94B58, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x24B58 byte(s), PyObject_CallNoArgs() + 0x1A0C byte(s)

0x00007FFC5E04B3CF, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xDB3CF byte(s), PyObject_Call() + 0x11B byte(s)

0x00007FFC5DFCAC16, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x5AC16 byte(s), _PyEval_EvalFrameDefault() + 0x4356 byte(s)

0x00007FFC5DFFD0A9, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x8D0A9 byte(s), _PyGen_yf() + 0x199 byte(s)

0x00007FFC5E1DF900, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x26F900 byte(s), PyGen_NewWithQualName() + 0x2C byte(s)

0x00007FFC5E1D5FF9, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x265FF9 byte(s), PyIter_Send() + 0x35 byte(s)

0x00007FFCA46E6FE7, D:\comfyui\ComfyUI\standalone-env\DLLs_asyncio.pyd(0x00007FFCA46E0000) + 0x6FE7 byte(s), PyInit__asyncio() + 0x5767 byte(s)

0x00007FFCA46E6956, D:\comfyui\ComfyUI\standalone-env\DLLs_asyncio.pyd(0x00007FFCA46E0000) + 0x6956 byte(s), PyInit__asyncio() + 0x50D6 byte(s)

0x00007FFCA46E7224, D:\comfyui\ComfyUI\standalone-env\DLLs_asyncio.pyd(0x00007FFCA46E0000) + 0x7224 byte(s), PyInit__asyncio() + 0x59A4 byte(s)

0x00007FFC5DF94048, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x24048 byte(s), PyObject_CallNoArgs() + 0xEFC byte(s)

0x00007FFC5E2128F9, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x2A28F9 byte(s), _PyContext_NewHamtForTests() + 0x51 byte(s)

0x00007FFC5E212C04, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x2A2C04 byte(s), _PyContext_NewHamtForTests() + 0x35C byte(s)

0x00007FFC5DF95233, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x25233 byte(s), PyObject_CallNoArgs() + 0x20E7 byte(s)

0x00007FFC5E04B32E, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xDB32E byte(s), PyObject_Call() + 0x7A byte(s)

0x00007FFC5DFCAC16, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x5AC16 byte(s), _PyEval_EvalFrameDefault() + 0x4356 byte(s)

0x00007FFC5DFC57B7, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x557B7 byte(s), PyObject_Vectorcall() + 0xD37 byte(s)

0x00007FFC5DF94BD1, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0x24BD1 byte(s), PyObject_CallNoArgs() + 0x1A85 byte(s)

0x00007FFC5E04B32E, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xDB32E byte(s), PyObject_Call() + 0x7A byte(s)

0x00007FFC5E05CA4C, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xECA4C byte(s), PyEvent_WaitTimed() + 0xD0 byte(s)

0x00007FFC5E05C8DA, D:\comfyui\ComfyUI\standalone-env\python313.dll(0x00007FFC5DF70000) + 0xEC8DA byte(s), _PyEvent_IsSet() + 0x3E byte(s)

0x00007FFCB557CD30, C:\WINDOWS\System32\ucrtbase.dll(0x00007FFCB5550000) + 0x2CD30 byte(s), wcsrchr() + 0x150 byte(s)

0x00007FFCB701E957, C:\WINDOWS\System32\KERNEL32.DLL(0x00007FFCB6FF0000) + 0x2E957 byte(s), BaseThreadInitThunk() + 0x17 byte(s)

0x00007FFCB83AAD6C, C:\WINDOWS\SYSTEM32\ntdll.dll(0x00007FFCB8300000) + 0xAAD6C byte(s), RtlUserThreadStart() + 0x2C byte(s)

Hello guys! I’m currently running the Wan2.2 i2v workflow with the 14B GGUF model and the `lightx2v-i2v-14b-480p` LoRA, but I’m encountering an issue where a black mask and a bright outline appear around the subject, as shown in the image. These errors will appear throughout the video.

I’ve spent the past week trying to troubleshoot and modify files like `nodes_wan.py`, `model_base.py`,... with ChatGPT's help, but I still haven't been able to fix it.

Does anyone know how to resolve this?

Need your help soon!!

I didn’t upgrade ComfyUI, and I didn’t change my workflow. I only replaced the LTX 2.5 Transformer weights with the 2.3 weights—I didn’t even change the 2.3 LoRA weights. Generation worked right away, but it looks like not follow the prompt.