CivArchive
    Wan2.2 Bernini-R with local Gemma 4 / Qwen 3.6 gguf LLM - v1.0
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    This is a Wan2.2 Bernini-R video workflow that supports:

    1. Local Gemma 4 gguf file for LLM prompt enhancing.

    2. Input of both images and videos for LLM.

    Example use case: Video editing with reference images.

    Custom node used:

    ComfyUI_Simple_Qwen3-VL-gguf

    • Set "cpu_moe": true to speed up LLM with limited vram. (Q8 model needs ~6GB vram.)

    • To set image_min_tokens for Gemma 4, follow n_ubatch > image_max_tokens > image_min_tokens. (e.g. 2240, 2240, 560)

    • Qwen 3.6 can also be used instead of Gemma 4. Just set image_min_tokens to 1024 and n_ctx to a larger value (e.g. 16384).

    Description

    FAQ

    Workflows
    Wan Video 2.2 T2V-A14B

    Details

    Downloads
    108
    Platform
    CivitAI
    Platform Status
    Available
    Created
    7/8/2026
    Updated
    7/27/2026
    Deleted
    -

    Files

    wan22BerniniRWithLocal_v10.zip

    Mirrors

    wan22BerniniRWithLocalGemma_v10.zip

    Mirrors