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    Kiko WanWrapper - v3.0
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    ๐ŸŽž๏ธ ComfyUI Image-to-Video Workflow - WAN 2.1 Wrapper (Kiko WAN v3)

    This is a high-performance, multi-pass Image-to-Video workflow for ComfyUI, powered by the WAN 2.1 Wrapper, with advanced optimizations like torch.compile and Sage Attention for faster and smarter frame generation. I tried to expose all the settings that Kijai exposes that I can understand ๐Ÿ˜‰, This is not the fastest workflow you will find on here, but it is one I use to make 20 secons videos.

    Crafted with โค๏ธ on Arch Linux BTW, using an RTX 4090 and 128 GB of RAMโ€”this setup is tuned for heavy-duty inference and silky-smooth video generation.

    ๐Ÿš€ Features

    • ๐Ÿง  WAN 2.1 Wrapper for cinematic image-to-video transformations

    • ๐Ÿ”‚ Two-pass generation: initial + refinement/extension

    • ๐ŸŒ Optional Slow Motion + Frame Interpolation (RIFE, FILM, etc.)

    • ๐Ÿงฝ Sharpening and Upscaling (e.g., RealESRGAN, SwinIR)

    • ๐Ÿ› ๏ธ Includes torch.compile for faster inference

    • ๐ŸŒ€ Integrates Sage Attention for improved attention efficiency

    • ๐Ÿ“ Customizable prompts, seed, duration, and aspect ratio logic

    • ๐ŸŒ€ Final loop polish with "Extend Last Frame"

    โš™๏ธ System Specs

    • OS: Arch Linux (rolling release)

    • GPU: NVIDIA RTX 4090 (24GB VRAM)

    • RAM: 128 GB DDR5

    • Python: 3.12.9 via pyenv

    • ComfyUI: Latest build from GitHub

    • torch: 2.x with torch.compile enabled

    • Sage Attention: Enabled via patched attention mechanism

    ๐Ÿ› ๏ธ Workflow Overview

    ๐Ÿ”น Input & Resize

    • Drop an image and optionally resize to fit WAN 2.1's expected input.

    ๐Ÿ”น WAN 2.1 Wrapper Core

    • Uses torch.compile for speed boost

    • Enhanced with Sage Attention (set via the custom node or environment)

    ๐Ÿ”น Pass 1: Generate + Optional Slow Motion

    • Frame-by-frame synthesis

    • Add slow motion via interpolation node (RIFE or FILM)

    ๐Ÿ”น Pass 2: Extend + Merge

    • Extends the motion, ensures smoother transitions

    • Combines motion with refined prompt guidance

    ๐Ÿ”น Final Polish

    • Sharpening and Upscaling

    • Final interpolation if needed

    • Loop-ready output by extending the last frame

    ๐Ÿงช Performance Tips

    • Tune torch compile for you system, they are all different, my setting might not work for you.

    • For Sage Attention:

      • Use the node

    • Running on lower-end GPUs? Disable upscaling and reduce frame count.

    ๐Ÿงฐ Requirements

    • ComfyUI

    • WAN 2.1 Wrapper Node

    • Optional:

      • RIFE, FILM, or DAIN for interpolation

      • RealESRGAN / SwinIR for upscaling

      • Sage Attention patch or node

    โ–ถ๏ธ How to Use

    1. Load the kiko-wan-v3.json file into ComfyUI.

    2. Drop your image into the input node.

    3. Customize prompts, duration, and frame count.

    4. Click Queue Prompt to generate.

    5. Your video will be rendered in the output folder.

    ๐Ÿ“ Files

    • kiko-wan-v3.json โ€” Exported workflow (coming soon)

    • kiko-wan-v3.png โ€” Workflow diagram

    ๐Ÿง  Inspirations & Credits

    • ComfyUI

    • WAN 2.1 Wrapper

    • Real-ESRGAN, RIFE, FILM, Sage Attention contributors

    • Arch Linux + NVIDIA ecosystem for elite workstation performance ๐Ÿ˜‰

    ๐Ÿ’ก Future Plans

    • Add batch image-to-video mode

    • Audio?

    โš™๏ธ Custom Nodes Used in kiko-wan-wrapper-v3.json

    Description

    ๐ŸŽž๏ธ ComfyUI Image-to-Video Workflow - WAN 2.1 Wrapper (Kiko WAN v3)

    This is a high-performance, multi-pass Image-to-Video workflow for ComfyUI, powered by the WAN 2.1 Wrapper, with advanced optimizations like torch.compile and Sage Attention for faster and smarter frame generation. I tried to expose all the settings that Kijai exposes that I can understand ๐Ÿ˜‰, This is not the fastest workflow you will find on here, but it is one I use to make 20 secons videos.

    Crafted with โค๏ธ on Arch Linux BTW, using an RTX 4090 and 128 GB of RAMโ€”this setup is tuned for heavy-duty inference and silky-smooth video generation.

    ๐Ÿš€ Features

    • ๐Ÿง  WAN 2.1 Wrapper for cinematic image-to-video transformations

    • ๐Ÿ”‚ Two-pass generation: initial + refinement/extension

    • ๐ŸŒ Optional Slow Motion + Frame Interpolation (RIFE, FILM, etc.)

    • ๐Ÿงฝ Sharpening and Upscaling (e.g., RealESRGAN, SwinIR)

    • ๐Ÿ› ๏ธ Includes torch.compile for faster inference

    • ๐ŸŒ€ Integrates Sage Attention for improved attention efficiency

    • ๐Ÿ“ Customizable prompts, seed, duration, and aspect ratio logic

    • ๐ŸŒ€ Final loop polish with "Extend Last Frame"

    โš™๏ธ System Specs

    • OS: Arch Linux (rolling release)

    • GPU: NVIDIA RTX 4090 (24GB VRAM)

    • RAM: 128 GB DDR5

    • Python: 3.12.9 via pyenv

    • ComfyUI: Latest build from GitHub

    • torch: 2.x with torch.compile enabled

    • Sage Attention: Enabled via patched attention mechanism

    ๐Ÿ› ๏ธ Workflow Overview

    ๐Ÿ”น Input & Resize

    • Drop an image and optionally resize to fit WAN 2.1's expected input.

    ๐Ÿ”น WAN 2.1 Wrapper Core

    • Uses torch.compile for speed boost

    • Enhanced with Sage Attention (set via the custom node or environment)

    ๐Ÿ”น Pass 1: Generate + Optional Slow Motion

    • Frame-by-frame synthesis

    • Add slow motion via interpolation node (RIFE or FILM)

    ๐Ÿ”น Pass 2: Extend + Merge

    • Extends the motion, ensures smoother transitions

    • Combines motion with refined prompt guidance

    ๐Ÿ”น Final Polish

    • Sharpening and Upscaling

    • Final interpolation if needed

    • Loop-ready output by extending the last frame

    ๐Ÿงช Performance Tips

    • Tune torch compile for you system, they are all different, my setting might not work for you.

    • For Sage Attention:

      • Use the node

    • Running on lower-end GPUs? Disable upscaling and reduce frame count.

    ๐Ÿงฐ Requirements

    • ComfyUI

    • WAN 2.1 Wrapper Node

    • Optional:

      • RIFE, FILM, or DAIN for interpolation

      • RealESRGAN / SwinIR for upscaling

      • Sage Attention patch or node

    โ–ถ๏ธ How to Use

    1. Load the kiko-wan-v3.json file into ComfyUI.

    2. Drop your image into the input node.

    3. Customize prompts, duration, and frame count.

    4. Click Queue Prompt to generate.

    5. Your video will be rendered in the output folder.

    ๐Ÿ“ Files

    • kiko-wan-v3.json โ€” Exported workflow (coming soon)

    • kiko-wan-v3.png โ€” Workflow diagram

    ๐Ÿง  Inspirations & Credits

    • ComfyUI

    • WAN 2.1 Wrapper

    • Real-ESRGAN, RIFE, FILM, Sage Attention contributors

    • Arch Linux + NVIDIA ecosystem for elite workstation performance ๐Ÿ˜‰

    ๐Ÿ’ก Future Plans

    • Add batch image-to-video mode

    • Audio?

    โš™๏ธ Custom Nodes Used in kiko-wan-wrapper-v3.json

    FAQ

    Comments (8)

    individual_awardMar 27, 2025
    CivitAI

    It Crashes on the WanVideo Sampler, is it because of ram? I got a 5090 and 64gb ram

    kiko9
    Author
    Mar 27, 2025ยท 1 reaction

    I don't know how good the 5090s are supported just yet, I would assume its supported, what is the crash? Do you have any of the debug info?

    individual_awardMar 27, 2025ยท 1 reaction

    @kiko9ย No logs, thats why I suppose is ram issue maybe some memory segmentation or could be related with sageattention and triton, I will try with them disabled

    kiko9
    Author
    Mar 27, 2025

    @individual_awardย Let me know, if you get any logs I would be happy to try and help debug. Though I am a bit envious on that card :) congrats on getting one!

    individual_awardMar 27, 2025ยท 1 reaction

    @kiko9ย  Thanks, appreciate it, hehe one kidney less for the flame generator ๐Ÿ˜‚

    kiko9
    Author
    Mar 28, 2025ยท 1 reaction

    @individual_awardย yeah if I could get one I could heat my house :)

    EZorgApr 12, 2025

    You have a 5090 and haven't flogged it on ebay for a small house??

    iharriApr 18, 2025

    @EZorgย This deserves props.

    Workflows
    Wan Video

    Details

    Downloads
    87
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/27/2025
    Updated
    6/11/2026
    Deleted
    -

    Files

    kikoWanwrapper_v30.zip

    Mirrors

    CivitAI (1 mirrors)