CivArchive
    Wan 2.2 - Text 2 Video - with Lightning (HI/LOW) & GGUF - v1.0
    NSFW

    Text 2 Video using Wan 2.2

    Updated to use Lightning LORA and few other enhancements.

    Lightning does a good job of speeding up renders.

    https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Wan22-Lightning

    Aesthetic improvements with Wan 2.2

    Wan2 AI: Next-Gen Image & Video Generation Tool - Wan 2.2 AI

    For those experiencing slowness. Try downloading the Q2 GGUF.

    Also, you might want to install "Crystools" monitor, this will show you your VRAM usage. You can find this in Comfy manager. Try to keep VRAM usage below 95% so things run smoothly. If you are running at 99%, things usually go bad.

    High Noise (select the appropriate sized gguf for your vram)

    https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/HighNoise

    Low Noise

    https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/LowNoise

    Light2xV Lora

    https://huggingface.co/Kijai/WanVideo_comfy/tree/main/Lightx2v

    VAE

    https://huggingface.co/QuantStack/Wan2.2-T2V-A14B-GGUF/tree/main/VAE

    Description

    First release, text to video using Wan 2.2

    FAQ

    Comments (3)

    skyrimer3dAug 6, 2025· 3 reactions
    CivitAI

    Wow i don't know what you did here but this produced the best wan 2.2 T2V clip i've produced by far from any workflow i've tested, thanks for sharing this.

    ToxicBotAug 7, 2025
    CivitAI

    Can you please recommend appropriate model size for 12gb vram?

    guy33Aug 7, 2025
    CivitAI

    Unfortunately this workflow does not work on 12GB VRAM cards. It takes forever...

    [ComfyUI-Manager] All startup tasks have been completed.

    got prompt

    Using pytorch attention in VAE

    Using pytorch attention in VAE

    VAE load device: cuda:0, offload device: cpu, dtype: torch.bfloat16

    Using scaled fp8: fp8 matrix mult: False, scale input: False

    CLIP/text encoder model load device: cuda:0, offload device: cpu, current: cpu, dtype: torch.float16

    Requested to load WanTEModel

    loaded completely 9633.8 6419.477203369141 True

    gguf qtypes: F16 (694), Q5_K (280), Q6_K (120), F32 (1)

    model weight dtype torch.float16, manual cast: None

    model_type FLOW

    Requested to load WAN21

    0 models unloaded.

    loaded partially 128.0 127.998046875 0

    Initializing block swap: 100%|█████████████████████████████████████████████████████████| 40/40 [00:04<00:00, 8.50it/s]

    Attempting to release mmap (320)

    Patching comfy attention to use sageattn

    0%| | 0/4 [00:00<?, ?it/s]

    Workflows
    Wan Video 14B t2v

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    Details

    Downloads
    632
    Platform
    CivitAI
    Platform Status
    Deleted
    Created
    8/6/2025
    Updated
    4/27/2026
    Deleted
    3/16/2026

    Files

    wan22Text2VideoWith_v10.zip

    Mirrors

    CivitAI (1 mirrors)