CivArchive
    WAN 2.2 5b low vram workflow - v2.0
    NSFW

    I decided to post my workflow. Maybe it’ll be useful to someone. I’ve tried a lot of different workflows, but they just didn’t work for me, and most of them simply didn’t run on my Predator Helios 300 laptop (1050ti, 4GB VRAM, 16GB RAM). And if anyone manages to improve it, I’d be more than happy.

    P.S.

    A request to those who downloaded these files: please post your results in the gallery.

    links:

    wan2_2-5b-ti2v-Turbo-Q4_K_M.gguf

    https://huggingface.co/hum-ma/Wan2.2-TI2V-5B-Turbo-GGUF/tree/main

    nsfwWanUMT5XXLGGUF_q5AndQ4KM.gguf

    https://civarchive.com/models/2352303/nsfw-wan-umt5-xxl-gguf

    NSFW-Anime-wan-5B_3.0Pro_lora_rank_128.safetensors

    https://huggingface.co/Hobbidy/NSFW-Anime-wan-5B_3.0Pro_lora_rank_128/tree/main?not-for-all-audiences=true

    RealESRGAN_x2plus

    https://huggingface.co/hlky/RealESRGAN_x2plus/tree/main

    TAEW

    put in to \models\vae_approx

    https://huggingface.co/lightx2v/Autoencoders/blob/main/lighttaew2_2.safetensors

    Description

    Changes have been made to optimize the process, and a two-step decoding process has been added. First, the generated output passes through an ultra-fast TAEW to preview the result, and then through a full-fledged VAE. Upscaling has also been added.

    FAQ

    Workflows
    Wan Video 2.2 TI2V-5B

    Details

    Downloads
    52
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/25/2026
    Updated
    10/27/2026
    Deleted
    -

    Files

    wan225bLowVram_v20.json

    Mirrors

    CivitAI (1 mirrors)