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Wan 2.2 Image to Video GGUF 14B Lightning — v1.0

Drag an initial image into the image node, adjust the prompt, and press queue. The rest should fit.

Sourcecivitai.com/models/1880342
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Status
Listed
Source
Civitai
Updated
Oct 2, 2026

Source description

Howto

Drag an initial image into the image node, adjust the prompt, and press queue. The rest should fit.

Description

A Wan 2.2 GGUF Image to Video workflow with the new Lightning Lora to speed up the generation time

Note that upscaling still better happens in an extra step. You can find example upscaling workflows in my article about video upscaling in comfyui: https://www.tomgoodnoise.de/index.php/video-upscaling-in-comfyui/

This workflow comes in two versions. One with all nodes expanded. This one is a good start to download and install all the models and loras. And one that uses the new subgraph feature to make the workflow super compact by hiding away everything not needed.

Time

The example video in 1024 x 576 pixels with the 14b GGUF models and the Lightning Lora took 8 minutes.

Requirements

This workflow was generated with 16 gb vram. Minimum requirement is 12 gb vram. And you should not have fewer than 32 gb system ram.

What you need

Model files
18 GiB known subtotal

Remaining hardware or download-size estimates are not available yet.

Requirements

Models

4

Node packs

4

  • comfyui-frame-interpolation

    Found

    Node pack · Registry

  • comfyui-gguf

    Possible

    Node pack · Registry

  • comfyui-videohelpersuite

    Found

    Node pack · Registry

  • rgthree-comfy

    Found

    Node pack · Registry

AI-generated commentary

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

Purpose

  • Use Wan 2.2 Image to Video GGUF 14B Lightning to turn an initial image and an adjusted prompt into a video: place the image in the image node, edit the prompt, and press queue.

Flow

  • Choose the expanded version to see all nodes, or the compact version with the subgraph feature hiding details.

  • Plan for upscaling as an extra step.

    Suggestion

Inputs and outputs

  • Place an initial image in the image node and adjust the prompt before pressing queue.

  • An example video at 1024 × 576 using 14B GGUF models and the Lightning Lora took 8 minutes; treat this as an example, not a runtime promise.

    Suggestion · not verified

Setup

  • Plan for at least 12 GB VRAM and 32 GB system RAM; the workflow was generated with 16 GB VRAM.

    Suggestion

  • Use the expanded version as a starting point for downloading and installing the models and LoRAs.

    Suggestion

Dependencies

  • The listed model files are umt5_xxl_fp8_e4m3fn_scaled.safetensors, wan_2.1_vae.safetensors, wan2.2_i2v_high_noise_14B_Q4_K_M.gguf, and wan2.2_i2v_low_noise_14B_Q4_K_M.gguf.

  • The listed node packs are comfyui-frame-interpolation, comfyui-gguf, comfyui-videohelpersuite, and rgthree-comfy.

Configuration

  • The listed base model is Wan Video 14B i2v 480p.

  • The workflow uses Wan 2.2 GGUF image-to-video processing with a Lightning Lora described as speeding up generation time.

Cautions

  • Before setup, verify that wan_2.1_vae.safetensors is available.

    Suggestion · not verified

  • Before setup, verify which comfyui-gguf node pack you intend to install.

    Suggestion · not verified

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Sources

1 source
CivitaiPrimary
civitai.com/models/1880342

Verified Jul 19

Source excerpts

1 excerpt
NoteJul 19civitai.com/models/1880342

Source context: 438 downloads · Type Workflows · Base model Wan Video 14B i2v 480p