CivArchive
    Wan 2.2 Fast Img2Video + Auto-Captioning (Low VRAM Friendly) - v1.0
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    ### 🚀 Wan 2.2 Fast Image-to-Video Workflow

    This workflow is designed for speed and ease of use. It generates high-quality 2.5s videos in under 90 seconds (depending on GPU) using the Wan 2.2 5B model.

    ✨ Key Features:

    * Auto-Captioning: Uses WD14 Tagger to automatically analyze your input image and generate tags.

    * Smart Prompting: Automatically concatenates your manual prompt with the image tags to ensure the video stays true to the source image.

    * Fast Generation: Optimized for speed (10 steps) without sacrificing too much quality.

    * Dual Output: Saves in both WebP and WebM formats.

    🛠️ How to use:

    1. Load Image: Upload your starting image in the "Load Image" node.

    2. Add Motion Prompt: In the "ttN text" node (green box), describe the movement you want (e.g., "smiling, wind blowing, blinking").

    3. Run: The workflow will combine your text with the visual description of the image and generate the video.

    📦 Requirements (ComfyUI):

    Please use *ComfyUI Manager** to "Install Missing Custom Nodes".

    * Required Models:

    * UNET: wan2.2_ti2v_5B_fp16.safetensors

    * VAE: wan2.2_vae.safetensors

    * CLIP: umt5_xxl_fp16.safetensors

    💡 Performance:

    Tested on mid-range GPUs. Generates a 2.5-second clip in approx 1:30 minutes.

    ---

    Created to help you animate static images quickly! Enjoy.

    Description

    * Initial release of the Wan 2.2 Fast Img2Video workflow.

    * Integrated WD14 Tagger for automatic image description.

    * Optimized for 10-step generation (Fast results in ~90 seconds).

    * Supports both WebP and WebM outputs.

    * Low VRAM friendly (tested on 5B version).

    FAQ

    Workflows
    Wan Video 2.2 TI2V-5B

    Details

    Downloads
    436
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/17/2026
    Updated
    4/27/2026
    Deleted
    -

    Files

    wan22FastImg2videoAuto_v10.zip

    Mirrors

    Huggingface (1 mirrors)