In this article, I share my experience testing WAN2.1’s text-to-video (T2V) and image-to-video (I2V) models on my ASUS ROG Zephyrus M16, powered by an Intel Core i7, RTX 3050 Ti, and 16GB of RAM.
To make it work within my laptop's hardware limits, I used a quantized setup with GGUF files, following the “My Workflow” from Civitai.
This workflow is specifically designed for machines with just 4GB of VRAM and 16GB of system RAM, making it ideal for mid-range setups like mine.
I’ll walk through how well it performed, the quality of the outputs, and what I learned from the comments and tips shared by the Civitai community.
First test T2V 14b 480p 25frames
Q5k_m - 50steps = 3245s - Animatediff00022
Q5k_m - 25steps = 1886s - Animatediff00023
Q2k - 25steps = 1937s - Animatediff00024
Q2k - 50steps =
IMG2Video results coming