CivArchive
    GingerLabs-Wan2.2-T2V-A14B - v1.0
    NSFW

    ## GingerLabs Wan 2.2 T2V A14B

    A GingerLabs-tuned derivative of [Wan-AI/Wan2.2-T2V-A14B](https://huggingface.co/Wan-AI/Wan2.2-T2V-A14B), packaged as matching HighNoise and LowNoise diffusion-model pairs for ComfyUI.

    Available formats:

    - GGUF Q4_K_M

    - GGUF Q5_K_M — recommended balance

    - GGUF Q6_K

    - GGUF Q8_0

    - Scaled FP8 E4M3FN

    No acceleration LoRA is required.

    ### Important: download both files

    Each version requires its matching HighNoise and LowNoise files. Keep both files at the same quantization level and do not swap their roles.

    Example:

    - GingerLabs_Wan2.2_T2V_A14B_High_Q5_K_M.gguf

    - GingerLabs_Wan2.2_T2V_A14B_Low_Q5_K_M.gguf

    Place both files in:

    ComfyUI/models/diffusion_models/

    ### Requirements

    - [ComfyUI-WanVideoWrapper](https://github.com/kijai/ComfyUI-WanVideoWrapper) 1.3.6 or newer

    - ComfyUI-VideoHelperSuite

    - Wan2_1_VAE_bf16.safetensors

    - Exactly nsfw_wan_umt5-xxl_bf16.safetensors from [NSFW-API/NSFW-Wan-UMT5-XXL](https://huggingface.co/NSFW-API/NSFW-Wan-UMT5-XXL/tree/main?not-for-all-audiences=true)

    The scaled-FP8 version of that UMT5 encoder is not supported by the included workflow.

    Place the supporting files in:

    - Text encoder: ComfyUI/models/text_encoders/

    - VAE: ComfyUI/models/vae/

    ### Recommended starting settings

    - Total steps: 8

    - HighNoise range: 0–4

    - LowNoise range: 4–end

    - Sampler: Euler

    - Shift: 5.0

    - CFG: 1.0

    - Resolution: 720 × 1280

    - Frames: 33

    - FPS: 16

    This means 8 total denoising steps, split as four HighNoise and four LowNoise steps—not 8+8.

    At CFG 1.0, negative conditioning is skipped, so the negative prompt does not affect sampling.

    For the WanVideoWrapper model loaders, leave quantization set to disabled. The wrapper loads GGUF directly and detects the scaled-FP8 format. SDPA is the portable attention default; SageAttention is optional.

    ### Scope

    - Text-to-video only

    - Not intended for I2V, TI2V, FLF2V, S2V, Animate, or VACE

    - No trigger words

    - Both HighNoise and LowNoise files are required

    - Frame counts should follow 4n+1

    The files passed structural and load/unload validation. A comparative visual-quality or performance benchmark between quantization levels has not been performed.

    ### Downloads and workflow

    - [Reference ComfyUI workflow](https://huggingface.co/GingerLabsPlatform/GingerLabs-Wan2.2-T2V-A14B/resolve/main/workflows/GingerLabs_T2V_Workflow.json)

    - [Full model card, files, and checksums](https://huggingface.co/GingerLabsPlatform/GingerLabs-Wan2.2-T2V-A14B)

    Description

    FAQ

    Comments (9)

    Opal766Aug 4, 2026· 1 reaction
    CivitAI

    low and hi same files? wtf?

    alvamos354Aug 5, 2026

    no. you should download one file and rename it. then download next

    gingerlabs
    Author
    Aug 7, 2026

    We do have each high and low noise for fp8 and q8 gguf.

    mobdik17378Aug 12, 2026

    @gingerlabs And what, you just couldn't be fucked to rename the files?

    irudxxxAug 10, 2026
    CivitAI

    Can you share bf16 or int8 convrot

    mobdik17378Aug 12, 2026
    CivitAI

    This feels like someone taught an LM how to upload a generic checkpoint to the site. What the fuck is this? How is this any different from other models? Why is every "version" the exact same file? Why is no one using it? So many questions....

    gingerlabs
    Author
    Aug 12, 2026

    @mobdik17378 Aren't you able to see four variants, high and low for q8 and fp8 in download section? Also what do you mean by every "version"? There seems to be only one.

    mobdik17378Aug 12, 2026
    CivitAI

    As expected, I can't get even a half-way decent video out of this shit. Is this compatible with speed loras? Is it already embedded with one? Should I even bother giving a shit?

    gingerlabs
    Author
    Aug 12, 2026

    use the provided workflow, 8 steps. do not add any speedup loras

    Checkpoint
    Wan Video 2.2 T2V-A14B

    Details

    Downloads
    142
    Platform
    CivitAI
    Platform Status
    Available
    Created
    8/4/2026
    Updated
    8/24/2026
    Deleted
    -

    Files

    gingerlabsWan22T2V_v10.gguf

    Mirrors

    CivitAI (1 mirrors)

    gingerlabsWan22T2V_v10.safetensors

    Mirrors