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Wan Vace Image-to-Video — v1.0

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Access: External workflow
Status: Listed
Source: Civitai
Updated: Sep 1, 2026

Source description

Important credit for this workflow goes to pftq for creating the seamless video extend workflow . That workflow was the first to show me this feature existed and gave the building blocks I used to make this version. The workflow by pftq uses Kijai's Wan Wrapper nodes, so if you prefer to work with the wrapper nodes in order to make use of all the options and add-ons, then by all means give pftq's workflow a try. This workflow uses all native ComfyUI nodes for the Wan processing.

This I2V workflow is based on my earlier Wan Join Clips workflow. This simplified version is designed to extend a video using Wan with Vace based on a single beginning frame. Yes, I know Wan Image-to-Video already exists, but the results you get from using the Vace system can be quite different, so I think this is a useful tool.

The workflow looks large, but once you've made sure all your models are loading correctly and your video save paths are set the way you like, you should only need to use the three groups across the top-left. You set your initial image (and reference image, if you like), you set other values like steps and so on, then you run the workflow and check your output. All of the masking, resizing, and frame interpolation/smoothing is automated.

AI-generated commentary

AI-generated explanation based on source and configuration details. Suggestions are clearly labeled.

Purpose

Use Wan Vace Image-to-Video to extend a video from a single beginning frame with Wan and Vace; provide an initial image, optionally a reference image, and settings such as steps, and it outputs an extended video.

Flow

Masking, resizing, and frame interpolation or smoothing are handled automatically.
After setup, the three groups across the top-left are the main controls, while the other groups expose additional controls.

Inputs and outputs

Inputs include an initial image, an optional reference image, and values such as steps.
Set the video save path for the generated result; the workflow produces an extended video.

Setup

Before running, make sure the models load correctly and set your video save paths.
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Wan processing uses native ComfyUI nodes.

Dependencies

The listed model files are: gimmvfi_r_arb_lpips_fp32.safetensors, umt5_xxl_fp16.safetensors, wan_2.1_vae.safetensors, Wan2_1-VACE_module_14B_fp8_e4m3fn.safetensors, and Wan2.1-VACE-14B-Q4_K_M.gguf.
The listed node packs are: comfyui-logicutils, comfyui-easy-use, comfy-image-saver, gguf, ComfyLiterals, rgthree-comfy, and comfyui-impact-pack.
The list also includes comfyui-gguf, comfyui_layerstyle, comfyui-kjnodes, comfyui-rmbg, comfyui-videohelpersuite, and ComfyUI-GIMM-VFI.

Configuration

Use the three groups across the top-left to set the initial image, optional reference image, and values such as steps.
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Additional settings include Model Sampling Shift and interpolation controls.

Cautions

Before running, verify that these files are available: gimmvfi_r_arb_lpips_fp32.safetensors, Wan2_1-VACE_module_14B_fp8_e4m3fn.safetensors, and Wan2.1-VACE-14B-Q4_K_M.gguf.
Suggestion · not verified
Before running, check that your setup includes node packs named comfyui-gguf and ComfyUI-GIMM-VFI.
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Sources

1 source

CivitaiPrimary

civitai.com/models/1778962

Verified Jul 19

Source excerpts

1 excerpt

NoteJul 19civitai.com/models/1778962

Source context: 712 downloads · Type Workflows · Base model Wan Video 14B t2v