CivArchive

    Generates WAN 2.1 videos in a fraction of time.

    720p and 480p Version

    • Sampler/Scheduler: Euler/Simple

    • Steps: 4

    • CFG: 1

    • Sigma-Shift 5

    Original Model from Lightx2v converted to FP8 quantisation.

    ☠️ Do not use any extra speed-up tricks or LoRAs or it may mess up your generations ... 🤬

    ⚠️ Hint: Most of the time the model is taking you by word. If you write "white" it is white. "Translucent" is translucent... like for the fluids. 💦 Now you know! 🫵 translucent whitish 🤫

    ⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️⬇️

    8 GB VRAM, 32 GB RAM

    Sample times: <2 minutes for 81 frames, 4 steps on RTX 4070 Ti Super.

    Compatible with 14B LoRAs.

    I normally use 0-2 LoRAs, strength at 0.4-1 depending on how much the effect should be. 0.7-0.9 works best most of the time, not overwriting the style of an image.
    At multiple LoRAs is seems best to tune the strength a bit down to 0.3-0.6.

    Basic workflow example:

    Here: https://civarchive.com/models/1811161?modelVersionId=2049602

    My favourite UI:

    SwarmUI https://github.com/mcmonkeyprojects/SwarmUI

    Testing (my specs):

    I can go wild on setting with this full checkpoint, even with added LoRAs:

    • 121 frames possible: ~ 3 minutes

    • 121 frames on 24 fps possible (more motion): ~ 3 minutes

    • 128 frames on 24 fps possible (more motion and extended): ~ 3.5 minutes

    Dependencies:


    YOU are responsible for outputs as always! If you make ToS violating content and I get aware I WILL report this.


    Disclaimer

    This models are shared without warranties and with the condition that it is used in a lawful and responsible way. I do not support or take responsibility for illegal, harmful, or harassing uses. By downloading or using it, you accept that you are solely responsible for how it is used.

    Description

    Just the proper CLIP/T5 Encoder in FP8 for Wan 2.1 Lightspeed

    FAQ

    Checkpoint
    Wan Video 14B i2v 480p

    Details

    Downloads
    2,110
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    7/24/2025
    Updated
    4/27/2026
    Deleted
    11/15/2025