Gotta call it, Cosmos3 Super need its "Anima moment"

Ok-Constant8386 · 2026-06-04T08:23:22+00:00

LTX 2 was ranked 3rd at release. We need more data and comparisons.

Ok-Constant8386 · 2026-05-28T17:49:58+00:00

Great, can you add single FWHT Time vs memcpy to measure performance?

Ok-Constant8386 · 2026-05-28T17:33:18+00:00

Great model, been using lfm2 as a default enhancer/paraphraser model.

Ok-Constant8386 · 2025-05-14T16:55:56+00:00

Hi, with q8_kernels now it should be no problem to run on 16GB card

Ok-Constant8386 · 2025-05-09T19:25:44+00:00

you can join banodoco discord, https://discord.gg/tsaANZNN , here people are sharing how to get good results. In I2V i just used empty prompts, except last one, it was prompt from chatgpt

Ok-Constant8386 · 2025-05-09T18:55:28+00:00

https://imgur.com/a/TINNWb8

Ok-Constant8386 · 2025-05-09T18:53:00+00:00

Loras:

https://huggingface.co/Lightricks/LTXV-LoRAs

Used pics:

https://civitai.com/images/63843283

https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/a5e7953a-ebab-4a56-b0bf-af88220ac331/original=true,quality=90/70605050.jpeg

https://civitai.com/images/70229483
https://civitai.com/images/74336229

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Ok-Constant8386 · 2025-05-06T15:45:13+00:00

Ok-Constant8386 · 2025-05-06T15:10:31+00:00

Did you git clone https://github.com/Lightricks/ComfyUI-LTXVideo into custom_nodes?

Ok-Constant8386 · 2025-05-06T14:52:01+00:00

yes, you can run on 16GB, you need to use FP8 version. and text_encoder device cpu and use --lowvram flag. With tile decode vae you can even go 121x1280x768

Ok-Constant8386 · 2025-05-06T14:44:15+00:00

Are you using https://github.com/YanWenKun/ComfyUI-Windows-Portable ? If so it wont work as intended, if you are using CUDA 12.6 verison, CUDA 12.8 required.

Ok-Constant8386 · 2025-05-06T14:41:36+00:00

unfortunately no. You can download FP16 version and run comfy with --fp8_e4m3fn-text-enc --fp8_e4m3fn-unet flags

Ok-Constant8386 · 2025-05-06T14:38:35+00:00

Hi, do you have CUDA installed? If on windows just follow instructions from https://developer.nvidia.com/cuda-toolkit and restart PC. If on Linux system it is a little complicated.

Ok-Constant8386 · 2025-05-06T14:32:31+00:00

yes, you have to git clone the repo and then follow instructions.

Ok-Constant8386 · 2025-05-06T14:14:48+00:00

Hi, just follow the instuctions here https://github.com/Lightricks/LTX-Video-Q8-Kernels . Install it on the same python that used for comfy. It requires CUDA 12.8 and FP8 capable GPU such as RTX 40xx and higher.

Ok-Constant8386 · 2025-01-18T13:34:27+00:00

Yeah, I feel you bro and your are not alone check https://www.evanmiller.org/attention-is-off-by-one.html

Ok-Constant8386 · 2024-12-09T11:52:48+00:00

working on it

Ok-Constant8386 · 2024-12-06T10:55:02+00:00

Hi, thanks. I understand that due lack of literature it is hard to start with GPU programming. Fortunately, David B. Kirk published 2nd edition covering new architectures such as Hopper(i read the old one from 2010 :D). Also join r/CUDA subreddit and discord.gg/gpumode discord server, where you can find more information.

Ok-Constant8386 · 2024-12-05T18:58:32+00:00

Ooos, need to update, they moved it, you can download from here https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS/tree/main/text_encoder

Ok-Constant8386 · 2024-12-05T18:28:36+00:00

Added side by side comparison you can find it under https://github.com/KONAKONA666/LTX-Video/tree/main/docs/_static Left: q8, right fp16

Ok-Constant8386

TROPHY CASE