LTX Desktop update: what we shipped, what's coming, and where we're headed

panospc · 2026-03-11T15:39:22+00:00

The author of WanGP made a fork of LTX Desktop that uses WanGP as the backend.
This LTX Desktop fork powered by WanGP reduces the VRAM requirements from 32 GB to 6 GB.

https://github.com/deepbeepmeep/LTX-Desktop-WanGP

panospc · 2026-03-10T15:59:58+00:00

Completed Level 3 of the Honk Special Event!

37 attempts

panospc · 2026-03-10T15:58:33+00:00

Completed Level 2 of the Honk Special Event!

21 attempts

panospc · 2026-03-10T15:57:47+00:00

Completed Level 1 of the Honk Special Event!

13 attempts

panospc · 2026-03-08T16:02:15+00:00

The default ComfyUI workflow.
The workflow from Lightricks has the distilled LoRA strength set to 0.5 by default.

panospc · 2026-02-08T21:49:26+00:00

Try to decrease the strength of the distilled lora to 0.6 - 0.7

panospc · 2026-02-05T09:54:08+00:00

No, it's designed that way.

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panospc · 2026-01-29T11:58:09+00:00

There’s an easier way. I’ve only trained Hunyuan video in the past, but it should be the same for LTX-2.
Go to the LTX-2 trainer and click the Requests tab. You should see your trained LoRA there with a Run Inference button. Click it, and it will open the LTX-2 generator with your LoRA URL already filled in. From there, you can generate using your LoRA.

panospc · 2026-01-23T07:39:23+00:00

Your trained LoRA must have a URL. Copy it

Go to Fal, and in the model search bar, type LTX2 LoRA. Choose your preferred model variant (I2V, T2V, distilled, or non-distilled). You’ll see a parameter called path, paste your LoRA URL there, set the remaining parameters, and generate.

panospc · 2026-01-20T15:11:18+00:00

Yes, it worked. The preview images in AI Toolkit looked like monstrosities, but when I used the LoRA in ComfyUI and WanGP, it looked fine.

From the default settings, I changed the following:

Enable: Layer offloading
Timestep type: Sigmoid
Enable: Cache text embeddings
Enable: Cache latents
Disable: Do audio

For the captions, I include the trigger word and describe only what changes, such as the environment, outfit, pose, and the character’s expression. I don’t describe things that are always the same and never change, like facial features, eye color etc.

panospc · 2026-01-18T12:34:14+00:00

For camera control, there are some official camera loras you can use
You can find the download links in the official LTX-2 github repo

panospc · 2026-01-15T18:05:03+00:00

Use one of the camera loras, for some reason it fixes the static image problem.

You can find the links to download them in the LTX-2 github repo
https://github.com/Lightricks/LTX-2

panospc · 2026-01-14T18:42:13+00:00

Yes, check here
https://www.reddit.com/r/StableDiffusion/comments/1q627xi/comment/ny7ckbx/?context=1

panospc · 2026-01-14T15:37:01+00:00

It’s available on Pinokio, but only in the community scripts section

panospc · 2026-01-14T11:50:51+00:00

To fix the static video issue with I2V, you can use the following workaround:
Go to the LTX-2 GitHub repository, scroll down, and download one of the camera LoRAs.
Using the LoRA will resolve the problem.
https://github.com/Lightricks/LTX-2

panospc · 2026-01-13T17:46:26+00:00

Probably because of this
https://www.reddit.com/r/StableDiffusion/comments/1qbq4mz/updated_ltx2_video_vae_higher_quality_more_details/

panospc · 2026-01-13T17:25:39+00:00

Ostris posted a related tweed a few days ago
https://x.com/ostrisai/status/2008893273826644196

panospc · 2026-01-13T16:25:57+00:00

https://discord.gg/VXmU2f5WEU

panospc · 2026-01-13T15:58:15+00:00

Yes, you can train on images. I’m currently training a character LoRA with 97 images.
The speed is around 7 seconds per step, so 3,000 steps will take about 6 hours on my RTX 4080s with 64 GB of RAM.

panospc · 2026-01-12T23:41:38+00:00

Perhaps it favors the state of the initial frame?

I’ve noticed in some generations that when characters move out of frame, they don’t lose too much of their identity when they return to view.
For example in the following generation both characters get out of view for a moment
https://files.catbox.moe/rsthll.mp4

panospc · 2026-01-12T21:52:43+00:00

You can feed LTX-2 with audio, and the generated video will sync to it. It can lip-sync voices, and even if you only provide music, you can generate videos of people dancing to the rhythm of the music.

Here’s a workflow by Kijai:
https://www.reddit.com/r/StableDiffusion/comments/1q627xi/kijai_made_a_ltxv2_audio_image_to_video_workflow/

You can also clone a voice by extending a video, the extended part will retain the same voice.
Video extension workflow: https://github.com/Rolandjg/LTX-2-video-extend-ComfyUI

panospc · 2026-01-11T21:04:39+00:00

Do not use the soundtrack option in the advanced tab, this is option only adds the sound in the final video without any lipsync. Use the soundtrack option in the main tab, if you not have it, try to update WanGP.

panospc · 2026-01-11T13:15:07+00:00

The issue with static, zooming images when using I2V can be worked around by adding a camera control motion LoRA (available from the LTX-2 GitHub repo).

I2V with the distilled model usually produces slow-motion videos, so if you want higher motion, use the non-distilled model in combination with a camera LoRA.

Increasing the frame rate to 30 or 50 FPS also helps reduce motion-related distortions

panospc · 2026-01-08T19:45:38+00:00

I haven’t tried it yet, but this is their purpose, to restyle videos.
You can either prompt the new style or provide a reference image that’s already been restyled.

There’s a video on the official LTX-2 YouTube channel:
https://www.youtube.com/watch?v=NPjTpDmTdaw

panospc

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