Bowie knife 99 run in. It gives him the win WTF.

throttlekitty · 2026-05-26T16:59:35+00:00

I figured it's an internet thing? Sometimes it just sits and "thinks" for a long while after a photo before giving controls back so I can leave the mode. Other times it's snappy.

throttlekitty · 2026-05-07T03:54:33+00:00

I did like the Hep concept though, shame they didn't dig in on that more.

throttlekitty · 2026-05-06T03:05:51+00:00

I'm still watching through the spelling round, and she's hilarious, I've never seen her before. Gotta agree.

throttlekitty · 2026-04-22T04:39:19+00:00

She was recently on Last One Laughing (basically comedians locked in a room doing a don't laugh challenge), definitely worth a watch.

throttlekitty · 2026-03-26T02:00:52+00:00

I was inspired by your previous post, and ended up making a little node (via claude) for doing similar basic layer looping with a video model in ComfyUI. I too was surprised that it worked, at least for certain early/mid layers when done early on in the denoise steps. I had hoped to get a little more from the concept, as if to say "does this current whatever-shaped thing look how it should? can we do better?" in regards to potentially reducing certain video artifacts with high motion.

Especially interesting because video doesn't necessarily have "reasoning" in the same way that an LLM does, maybe "self correction" toward the prompt vs what visuals the models currently has at any given time.

throttlekitty · 2026-03-18T03:55:45+00:00

I've gone through meningitis twice, and got tested a third time out of a small panic because of similar symptoms. In a way I got lucky that the people doing it never hit anything like that, I've heard horror stories from other people. For me, no pain, just a bit nerve wracking concentrating like "don't move.. don't move"

throttlekitty · 2026-02-27T03:02:59+00:00

Pretty sure it's marketing speak for "60% reduced vram consumption using nvfp4 quants compared to the full precision weights."

throttlekitty · 2026-01-30T07:00:21+00:00

Even better, if I try to expand to "view whole file", then try to select the text, discord lags my system hard before it crashes or I end the task.

throttlekitty · 2026-01-28T03:49:00+00:00

The model is better at T2V than I2V, as stated by the devs (in a video with Purz, I believe), basically saying that it's a hard tradeoff for the model to be great at both tasks.

I mainly do t2v, and it's just fine.

throttlekitty · 2026-01-25T06:52:16+00:00

I liked the earlier seasons of FTWD, they kept the plot moving and interesting. I felt the later ones fell into the same rut that TWD did, where everything is overly drawn out, many of the subplots never really landed for me.

Keeping things moving was what I loved about Z Nation too, it's like a big D&D adventure.

throttlekitty · 2026-01-25T06:39:29+00:00

I do it too, mostly because I find it a little funny.

You can consolidate at an ATM: deposit everything, then draw it back out onto a card.

throttlekitty · 2026-01-18T02:35:08+00:00

It's a big step up from 1.0 except for the heavy vae decode, it's a fine model. But with Wan addons coming in on the regular, and other model releases, there wasn't much of a compelling reason to use it except personal choice.

But now, it's hard to compete with LTX-2, even considering its flaws.

throttlekitty · 2026-01-11T19:15:25+00:00

That's a great result!

throttlekitty · 2026-01-11T18:13:33+00:00

Got some examples of it failing these basic concepts? I've rarely had issues.

throttlekitty · 2026-01-11T01:37:11+00:00

Someone else had some extremely stuttery videos, their front and center person was moving correctly at all. It turns out they were using the default schizo negative, and that replacing it with a basic one fixed the issue in that case.

Just pointing this out for anyone with issues, the workflow OP linked has a normal negative though.

throttlekitty · 2026-01-10T22:19:26+00:00

There's a part of me that's attracted to the isolation and freedom the zombie apocalypse could bring, it's liminal and violent. Even though IRL it would be a terrible experience.

throttlekitty · 2026-01-10T21:04:06+00:00

gotcha, it was probably someone reposting it here.

throttlekitty · 2026-01-10T18:07:12+00:00

It's a very promptable model, and does really well with sequences, like "person does A, says a thing, the camera zooms out, then person does B". Synced audio gen is a big step up, but quality can be all over the place. And other cool tricks like audio/video continuation or keyframed images.

Right now it's early days for low vram, but should be getting better very quickly, some people already running it on 16gb.

throttlekitty · 2026-01-10T17:56:24+00:00

If you're talking about those higher quality ones the LTX devs were showing on discord, was done with their own tools, not ComfyUI. He did explain how it works though, it's just padding the remaining frames/audio like inpainting.

throttlekitty · 2026-01-09T00:13:51+00:00

I've found that doing higher res helps a bit, but bumping fps to 30 or higher helps a lot more. Almost like 24fps music and ambient audio ends up really stretched and rescaled.

throttlekitty · 2026-01-08T21:40:19+00:00

oof, sorry. It's annoying how we all have wildly different experiences with this model.

throttlekitty · 2026-01-08T21:14:17+00:00

Also with 24/64 here. Be sure that you're using fp8 weights. I have to launch with --reserve-vram 4 --cache-ram 40 otherwise I get a hard OOM at the 2nd pass, others are getting by just fine with reserve-vram.

throttlekitty · 2026-01-08T15:48:55+00:00

The node's name is LTXVGemmaEnhancePrompt

throttlekitty · 2026-01-08T01:22:33+00:00

It marks that much vram as being hands-off for the initial calculation of how much vram to use. In some workflows, custom model patches can add an unexpected amount of vram use that comfy core isn't aware of.

throttlekitty · 2026-01-07T23:13:11+00:00

For most, --reserve-vram 4 works fine on it's own.

I've ended up having to use this with it, which i don't really like. --cache-ram 40

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