wanx-troopers
Dialing In LTX 2.3 Workflow
Main article: LTX 2.3
2026.05
Nekodificador on avoiding blurry mess instead of motion
changing sigmas helps a lot try karras or exponential at least on a second pass
2026.04.27
1.1 distilled in mxfp8 which seems good
Q: in ltx [does] using varying models of gemma affects the output? A: between the fp8 and bf16 versions, it’s minimal difference
Dev + the Distill LoRa 1.1 seems better than Distill 1.1.
Q: why would the dev + LoRa be slower? A: because you can’t apply lora in fp8 it has to do the upcast to apply, then downcast to fp8 to do the matmul; a checkpoint with the lora applied at half strength would probably be useful; … when you use fp8 checkpoint + bf16 lora, the lora is higher quality
David Snow:
if you use the distill lora on a second pass using a negative weight, it reduces the plastic skin greatly. so when using it for upscale set strength to a negative? Yeah. -0.4 is a good starting point.
2026.04.24
Ckinpdx on GH:ckinpdx/ComfyUI-LTXAVTools:
My looping sampler needs work to handle a second pass but the standard looping sampler can do it. Drop down the ltvx looping sampler, I use simple guider, res2s sampler and basic scheduler with beta 2 steps
.37denoise. I also recently added a tiled latent upsampler as I was getting oom at that part of the process. If you have a recent pull of my nodes it’s searchable with “tiled upsampler”. You can give it the full AV latent, don’t need to separate the latent going in. You do need to separate the latent going into the ltxv looping sampler though, only send video in and send the audio around it to final decode. In my v2v any to real wf i just replaced that lora with the edit anything lora … it did work.
Advice from Torny on how to get sharp videos out of LTX 2.3:
forget T2V (it is frustrating) go with I2v use latest kijai distilled model, 2x ver 1.1 upscaler, any of the latest Runexx workflows
2026.04.18
Huddadudd answering on how a good detailed 1536x832 3sec 25fps clip with a nice face in the distance:
i’ve been cobbling and updating my clownshark wf for a while now, its a hodgepodge of outdated and new stuff that i just tinker with; currently its 4steps gauss legendre then euler 8 steps, 2nd pass is eulerancestralcfgpp just a basic sampler; run the dev model, .3 distill lora first stage .5 second stage; thats also without any of the uprez or refinement passes; zimage is the image, just standard sampling, clownshark is stage 1, which is the bulk of the sampling; i mostly just modify versions of able’s workflows
pretty standard as far as generation parameters, one stage, dev w/ 0.6 distill, euler, linear quadratic 8 steps
Samplers
res_2s is good with teeth
res2s is good for quality but also handles higher fps better … i started out with eulers, then lcm, then settled on res2s; the manual sigmas describe 3 steps, which works for euler in the second stage but is too many for res2s. for the second stage to use res2s without overbaking i use basi scheduler beta 0.34 denoise 2 steps. i run dev with distill and drop the distill down to 0.5 from the standard 0.6 in the second pass
Hevi:
lcm for first stage much faster than anything else imo
res_multistep might be better for sound generation than euler with distilled.
PhoenixRisen:
Seems euler_ancenstral_cfg_pp is the best for prompt adherence; [Mark]: runs like a dog on mine so I dont go near cfg_pp version
Mark:
I switched to euler_ancestral recently was using lcm but find it best in the wf I use.
cfg_pp Samplers
fyi: any of the cfg_pp samplers will always run both a positive and negative conditioning pass even on cfg 1.0. So if you’re comparing euler_ancestral at cfg 1.0 to euler_ancestral_cfg_pp at cfg 1.0, the latter will always be 2x slower
Mark:
its way more than x2 slower on my rig … … it runs … NAG as well so would that mean it is x4 slower? (audio and video conditioning in NAG)
NAG is definitely not going to be as much extra compute as CFG since it only operates on cross-attention; CFG is literally just twice as slow, it runs two fully separate calls at the same step. Also, I dunno if NAG even runs for the negative pass