a friend told me there's a reddit called: unstable diffusion

you should have a look at https://github.com/deepbeepmeep/Wan2GP which is the goto tool for "gpu poor", although as people below already pointed out you should be fine with comfyui's standard setup aswell

First, I think they're not even talking about GPUs, this is macOS hardware so unified memory. Secondly, if they were talking about GPUs, then 96GB VRAM is hardly what people refer to when they say "gpu poor".

1) It would still run on the Mac's GPU.

2) Since it's unified memory, you won't have 96GB available.

3) I offered a solution that is usually recommended to the "gpu poor", if he's concerned with how much memory he would need.

4) I stated, that people already pointed out how he should be fine and that "gpu poor" doesn't apply to him.

5) "gpu poor" depends on what model you are trying to use. If you want to run Kimi or GLM you are still "gpu poor" even if you have an RTX Pro 6000 with 96GB of VRAM.

Public doesnt know about Huggingface. ChatGPT (OpenAI) says it‘s dangerous. They must know.

You didn't even read your own article.

What does identity or sexuality have to do with it you fucking moron? These are people! People play games.

But do I have the option to run it 'text only'?

slop

The consensus right now is that Qwen3.6 in its 27B and 35B-A3B versions is better for coding whereas Gemma4 is stronger when it comes to OCR, audio transcription and the likes. Margins are slim though and the harness at these model sizes is the most important factor.

First video with the guy walking the mountain in snow has consistency issues with the cave entrance. Which is "expected" at this model size?!

My dreams have it too, which is unexpected at that model size!

That's actually a great analogy. It's very akin to "generating" dreams.

Most videos seem to have some issues like that, e.g. the book on the table in the library video takes up different shapes every now and then.

The 'Refiner' effect seems to do the opposite if the examples are representative as in all cases the 1-st stage images look better than the 'refined' ones. Less clutter, more realistic, less 'cowbell' for those who know the phrase.

All of the videos have rather glaring consistency issues when direction shifts back to areas previously shown.

Remember the first Will Smith spaghetti?

Yeah it got ridiculed and people wrote it off as that was somehow the limit and that wasn't going to change which seems to be the common premise to which people launch their criticisms of AI

And those same people forget that its been 3 years since that awful will smith spaghetti video to what we have today which is the beginning of controllable real time videos aka games

Who wrote your comment?

At this point we should cut our losses and just give Claude an official HN account.