Hey guys, ever since LTX-2 dropped I’ve tried pretty much every workflow out there, but my results were always either just a slowly zooming image (with sound), or a video with that weird white grid all over it. I finally managed to find a setup that actually works for me, and hopefully it’ll work for you too if you give it a try.
All you need to do is add --novram to the run_nvidia_gpu.bat file and then run my workflow.
It’s an I2V workflow and I’m using the fp8 version of the model. All the start images I used to generate the videos were made with Z-Image Turbo.
My impressions of LTX-2:
Honestly, I’m kind of shocked by how good it is. It’s fast (Full HD + 8s or HD + 15s takes around 7–8 minutes on my setup), the motion feels natural, lip sync is great, and the fact that I can sometimes generate Full HD quality on my own PC is something I never even dreamed of.
But… :D
There’s still plenty of room for improvement. Face consistency is pretty weak. Actually, consistency in general is weak across the board. The audio can occasionally surprise you, but most of the time it doesn’t sound very good. With faster motion, morphing is clearly visible, and fine details (like teeth) are almost always ugly and deformed.
Even so, I love this model, and we can only be grateful that we get to play with it.
By the way, the shots in my video are cherry-picked. I wanted to show the very best results I managed to get, and prove that this level of output is possible.
Workflow: https://drive.google.com/file/d/1VYrKf7jq52BIi43mZpsP8QCypr9oHtCO/view?usp=sharing
https://arstechnica.com/ai/2026/03/google-says-new-turboquant-compression-can-lower-ai-memory-usage-without-sacrificing-quality/
Why has no one created a QR Monster ControlNet for any of the newer models? I feel like this was the best ControlNet. Canny and depth are just not the same.
Thank you Chinese devs for providing for the community if it not for them we'll be still stuck at stable diffusion 1.5
Never forget…
Link: https://huggingface.co/Tongyi-MAI/Z-Image Comfy https://huggingface.co/Comfy-Org/z\_image/tree/main/split\_files/diffusion\_models
https://youtu.be/54IxX6FtKg8 A year ago, I never imagined I’d be able to generate a video like this on my own computer. (5070ti gpu) It’s still rough around the edges, but I wanted to share it anyway. All sound effects, excluding the background music, were generated with MMAudio, and the video was upscaled from 720p to 1080p using SeedVR2.
Workflows from the Neura Market marketplace related to this Stable Diffusion resource