CivArchive
    Wan 2.1 Image to Video Loop | Workflow - v1.5
    NSFW

    This workflow references one image as the start and end frame to create a loop video. It has the ability to remove frames from the start and end of the video to enable a smoother loop transition. I recommend at least 12GB of VRAM. Video Generation requires good hardware.

    -Lowering the CFG will improve generation times but also reduce motion.
    -Anything over 4 seconds might fail or take forever. 3 seconds is the ideal video length for loop
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    This workflow is a combination of IMG to VIDEO simple workflow WAN2.1 and Wan 2.1 seamless loop workflow

    I recommend this workflow to be used with the Live Wallpaper Fast Fusion model.

    I don't know anything about licenses so use at your own risk.

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    The Automatic Prompt function requires Ollama. The installation process is more than just installing a node in ComfyUI

    I recommend the gemma3 model with vision
    To maximize output quality, you can enter this in Ollama to generate motion-aware prompts for your images:

    You are an expert in motion design for seamless animated loops.
    
    Given a single image as input, generate a richly detailed description of how it could be turned into a smooth, seamless animation.
    
    Your response must include:
    
    ✅ What elements **should move**:
    – Hair 
    – Eyes 
    – Clothing or fabric elements
    – Light effects 
    – Floating objects if they are clearly not rigid or fixed
    
    🚫 And **explicitly specify what should remain static**:
    – Rigid structures (e.g., chairs, weapons, metallic armor)
    – Body parts not involved in subtle motion (e.g., torso, limbs unless there’s idle shifting)
    – Background elements that do not visually suggest movement
    
    ⚠️ Guidelines:
    – The animation must be **fluid, consistent, and seamless**, suitable for a loop  
    – Do NOT include sudden movements, teleportation, scene transitions, or pose changes  
    – Do NOT invent objects or effects not present in the image (e.g., leaves, particles, dust) 
    – Do NOT describe static features like colors, names, or environment themes  
    – Return only the description (no lists, no markdown, no instructions, no think)

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    📂Files :

    I recommend this workflow to be used with the Live Wallpaper Fast Fusion model.
    Put it in models/diffusion_models

    For regular version
    CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
    in models/clip

    For GGUF version
    >24 gb Vram: Q8_0
    16 gb Vram: Q5_K_M
    <12 gb Vram: Q3_K_S
    Quant CLIP: umt5-xxl-encoder-QX.gguf
    in models/clip

    CLIP-VISION: clip_vision_h.safetensors
    in models/clip_vision

    VAE: wan_2.1_vae.safetensors
    in models/vae

    ANY upscale model:

    in models/upscale_models

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    Nodes:
    ComfyUI-Custom-Scripts
    rgthree-comfy
    ComfyUI-Easy-Use
    ComfyUI-KJNodes
    ComfyUI-VideoHelperSuite
    ComfyUI_essentials
    ComfyUI-Frame-Interpolation
    comfyui-ollama
    ComfyUI-mxToolkit
    was-node-suite-comfyui
    ComfyUI-WanStartEndFramesNative

    Description

    Added GGUF Version.
    Removed some optimization options.

    Workflows
    Wan Video 14B i2v 720p

    Details

    Downloads
    2,624
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/27/2025
    Updated
    10/29/2025
    Deleted
    -

    Files

    wan21ImageToVideoLoop_v15.zip

    Mirrors

    wan21ImageToVideoLoop_v15.zip

    Mirrors