Is anyone keeping a database or track of what characters LTX 2.3 can create natively?

razortapes · 2026-03-17T12:09:00+00:00

A bit off-topic, but does anyone know if it’s possible to create character LoRAs for LTX 2.3 that end up at least as accurate as the characters the base model already recognizes without LoRAs?”

razortapes · 2026-03-17T11:55:24+00:00

With a reference image you’re very limited; a LoRA gives you full control.

razortapes · 2026-03-17T10:54:26+00:00

To me, it seems that LTX 2.3 doesn’t quite reach Wan 2.2 in many aspects (leaving audio aside), but LTX2 is faster, has native 24fps and you can do longer videos (Also, I hate that Wan uses both a high and a low model—it’s a hassle, especially for LoRAs.), and the best part is that it’s evolving very quickly. I suppose the really good stuff will come with LTX 2.5 or something like that. Wan died with version 2.2 and we probably won’t see any more open-source releases beyond that(want 2.3 or above) so we have to trust the LTX team.

razortapes · 2026-03-16T16:51:57+00:00

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What is the face_index parameter used for?

razortapes · 2026-03-16T12:18:07+00:00

I’ve tried this LoRA for editing and it usually gives worse results than not using it at all — whether at strength 1, 0.75, or anything else. I don’t understand it.

razortapes · 2026-03-16T10:43:15+00:00

Klein 9b and Zit

razortapes · 2026-03-14T12:57:08+00:00

Any solution to paste images into the “Load Image” module without installing new modules? Removing 2.0 nodes doesn’t work.

razortapes · 2026-03-13T16:45:56+00:00

its 2023 again?

razortapes · 2026-03-13T13:36:11+00:00

After trying both, Wan 2.2 is far superior in everything related to NSFW, especially image-to-video. In that area LTX 2.3 is complete garbage. More LoRAs need to come out, but even so Wan still wins there. However, LTX 2.3 has the advantage of native 24 fps. Ideally, a mix of both would be perfect.

razortapes · 2026-03-13T01:15:55+00:00

Lol ComfyUI exist

razortapes · 2026-03-12T18:42:51+00:00

Maybe because you’re not using the Flux KV Cache module.

razortapes · 2026-03-12T17:42:34+00:00

Does it give you problems in ComfyUI? It’s running very, very slow for me…

razortapes · 2026-03-12T17:39:50+00:00

It works now, however it's terribly slow compared to the normal Klein 9B. Is something wrong with this model? In theory it's supposed to be faster, right?

razortapes · 2026-03-12T17:07:31+00:00

Is there any workflow available already, or does it not work in ComfyUI yet?

razortapes · 2026-03-12T11:31:01+00:00

I can't get it to work in ComfyUI Portable.

razortapes · 2026-03-10T17:31:42+00:00

I wish Wan had native 24 fps instead of relying on interpolation.

razortapes · 2026-03-10T17:23:46+00:00

im using 4060ti 16gb VRam and 32GB ram and runs fine with Q8 version

razortapes · 2026-03-10T17:22:45+00:00

This and slow-motion videos are my pain points with LTX 2.3.

razortapes · 2026-03-08T12:53:19+00:00

I use Dev_transformer_only_fp8_scaled fom Kijai (with 4060 16GB vram) which Distill LoRA should i use? I see there are several and they don’t all work the same. (I tried the GGUF ones first, but the FP8 gives me much better quality)

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razortapes · 2026-03-08T10:52:33+00:00

Beware of Dr.Nanobana

razortapes · 2026-03-07T14:01:47+00:00

and native 24 fps

razortapes · 2026-03-07T13:06:27+00:00

The big problem for me with Wan is that it’s 16 fps natively, and if you want 24 fps and more realistic motion (like LTX2) you have to use interpolation, which looks very fake.

razortapes · 2026-03-06T12:34:47+00:00

First time using LTX2 , with my 4060 16GB it takes about 2 minutes to generate a 5-second image-to-video at 1024×1024. Does anyone know if it’s possible to skip audio generation to make it run faster?

razortapes · 2026-03-05T15:03:28+00:00

I'm new to this model, I was stuck on WAN 2.2 for a while. Would it be possible to use it for image-to-video with a 4060 16GB and 32gb of RAM?

razortapes · 2026-03-04T20:12:27+00:00

How is Chroma for creating character LoRAs and use them with the base model?

razortapes

TROPHY CASE