Thx to Kijai LTX-2 GGUFs are now up. Even Q6 is better quality than FP8 imo.

https://redd.it/1q8590s
@rStableDiffusion

WanGP now has support for audio and image to video input with LTX2!
https://github.com/deepbeepmeep/Wan2GP

https://redd.it/1q85ubt
@rStableDiffusion

Z-Image IMG2IMG for Characters: Endgame V3 - Ultimate Photorealism

https://redd.it/1q87a3o
@rStableDiffusion

“2 Minutes” - a short film created with LTX-2

https://redd.it/1q8904n
@rStableDiffusion

Tutorial - LTX-2 artifacts with high motion videos

https://redd.it/1q89w2l
@rStableDiffusion

Tips on Running LTX2 on Low ( 8GB or little less or more) VRAM

There seems to be a lot of confusion here on how to run LTX2 on 8GB VRAM or low VRAM setups. I have been running it in a completely stable setup on 8GB VRAM 4060 (Mobile) Laptop, 64 GB RAM. Generating 10 sec videos at 768 X 768 within 3 mins. In fact I got most of my info, from someone who was running the same stuff on 6GB VRAM and 32GB RAM. When done correctly, this this throws out videos faster than Flux used to make single images. In my experience, these things are critical, ignoring any of them results in failures.

Use the Workflow provided by ComfyUI within their latest updates (LTX2 Image to Video). None of the versions provided by 3rd party references worked for me. Use the same models in it (the distilled LTX2) and the below variation of Gemma:
Use the fp8 version of Gemma (the one provided in workflow is too heavy), expand the workflow and change the clip to this version after downloading it separately.
Increase Pagefile to 128 GB, as the model, clip, etc, etc take up more than 90 to 105 GB of RAM + Virtual Memory to load up. RAM alone, no matter how much, is usually never enough. This is the biggest failure point, if not done.
Use the flags: Low VRAM (for 8GB or Less) or Reserve VRAM (for 8GB+) in the executable file.
start with 480 X 480 and gradually work up to see what limit your hardware allows.
Finally, this:

In ComfyUI\\comfy\\ldm\\lightricks\\embeddings_connector.py

replace:

hidden_states = torch.cat((hidden_states, learnable_registers[hidden_states.shape[1\]:\].unsqueeze(0).repeat(hidden_states.shape[0\], 1, 1)), dim=1)

with

hidden_states = torch.cat((hidden_states, learnable_registers[hidden_states.shape[1\]:\].unsqueeze(0).repeat(hidden_states.shape[0\], 1, 1).to(hidden_states.device)), dim=1)

.... Did this all after a day of banging my head around and giving up, then found this info from multiple places ... with above all, did not have a single issue.

https://redd.it/1q87hdn
@rStableDiffusion

cute kitty cat ltx2

https://redd.it/1q8auyq
@rStableDiffusion

20 seconds LTX2 video on a 3090 in only 2 minutes at 720p. Wan2GP, not comfy this time

https://redd.it/1q8e2g8
@rStableDiffusion

Stop using T2V & Best Practices IMO (LTX Video / ComfyUI Guide)

https://redd.it/1q8dxon
@rStableDiffusion

Using GGUF models for LTX-2 in T2V

https://redd.it/1q8gffc
@rStableDiffusion

LTX2 - Audio Input + I2V with Q8 gguf + detailer

https://redd.it/1q8n4ho
@rStableDiffusion

How Many Male Genital Pics Does Z-Turbo Need for a Lora to work? Sheesh.

Trying to make a lora that can make people with male genitalia. Gathered about 150 photos to train in AI Toolkit and so far the results are pure nightmare fuel...is this going to take like 1,000+ pictures to train? Any tips from those who have had success in this realm?




https://redd.it/1q8olqf
@rStableDiffusion

Testing out single 60 seconds video in LTX-2

https://redd.it/1q8oqte
@rStableDiffusion

Another single 60-seconds test in LTX-2 with a more dynamic scene

https://redd.it/1q8plrd
@rStableDiffusion

LTX2 Lipsync With Upscale AND SUPER SMALL GEMMA MODEL

https://redd.it/1q8o2r9
@rStableDiffusion

All sorts of LTX-2 workflows. Getting Messy. Can we have like Workflow Link + Denoscription of what it achives in the comments here at a single place?

All people with workflows may be can comment/link workflow with denoscription/example?

https://redd.it/1q8o0d0
@rStableDiffusion

LTX-2 readable (?) workflow — T2V / I2V / A2V / IC-LoRA

https://redd.it/1q8uh8i
@rStableDiffusion

SDXL → Z-Image → SeedVR2, while the world burns with LTX-2 videos, here are a few images.

https://redd.it/1q8w47s
@rStableDiffusion

Open Source Needs Competition, Not Brain-Dead “WAN Is Better” Comments

Sometimes I wonder whether all these comments around like “WAN vs anything else, WAN is better” aren’t just a handful of organized Chinese users trying to tear down any other competitive model 😆
or (heres the sad truth) if they’re simply a bunch of idiots ready to spit on everything, even on what’s handed to them for free right under their noses, and who
haven’t understood the importance of competition that drives progress in this open-source sector, which is ESSENTIAL, and we’re all hanging by a thread begging for production-ready tools that can compete with big corporations.

WAN and LTX are two different things:
one was trained to create video and audio together.
I don’t know if you even have the faintest idea of how complex that is.
Just ENCOURAGE OPENSOURCE COMPETITION, help if you can, give polite comments and testing, then add your new toy to your arsenal! wtf. God you piss me off so much with those nasty fingers always ready to type bullshit against everything.


https://redd.it/1q8wt2b
@rStableDiffusion

VNCCS Utils 0.2.0 Release! QWEN Detailer.

https://redd.it/1q8ym8v
@rStableDiffusion

2 Links for Adult LTX stuff



https://redd.it/1q8yxcv
@rStableDiffusion