Hello, I was wondering what can be done with AI these days on a low-end computer, so I tested it on my older laptop with 4GB VRAM (NVIDIA Geforce GTX 1050 Ti) and 16 GB RAM (Intel Core i7-8750H).
I used Z-Image Turbo to generate the images. At first I was using the gguf version (Q3) and the images looked good, but then I came across an all-in-one model (https://huggingface.co/SeeSee21/Z-Image-Turbo-AIO) that generated better quality and faster - thanks to the author for his work.
I generated images of size 1024 x 576 px and it took a little over 2 minutes per image. (~02:06)
My workflow (Z-Image Turbo AIO fp8): https://drive.google.com/file/d/1CdATmuiiJYgJLz8qdlcDzosWGNMdsCWj/view?usp=sharing
I used Wan 2.2 5b to generate the videos. It was a real struggle until I figured out how to set it up properly so that the videos didn't just have slow motion and so that the generation didn't take forever. The 5b model is weird, sometimes it can surprise, sometimes the result is crap. But maybe I just still haven't figured out the right settings yet. Anyway, I used the fp16 model version in combination with two loras from Kijai (may God bless you, sir). Thanks to that, 4 steps were enough, but 1 video (1024 x 576 px; 97 frames) took 29 minutes to generate (decoding process alone took 17 minutes of that time).
Honestly, I don't recommend trying it. :D You don't want to wait 30 minutes for a video to be generated, especially if maybe only 1 out of 3 attempts is usable. I did this to show that even with poor performance, it's possible to create something interesting. :)
My workflow (Wan 2.2 5b fp16):
https://drive.google.com/file/d/1JeHqlBDd49svq1BmVJyvspHYS11Yz0mU/view?usp=sharing
Please share your experiences too. Thank you! :)
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