✨ WAN2.2 — Image to video with flux kontext — Simple Workflow

A clean, all-in-one WAN image-to-video workflow built entirely with the UmeAiRT Toolkit for ComfyUI.

It allows you to generate an initial image using FLUX kontext, and then create a video from that image.
For example, you can generate an image from a person in a photo and then animate it.
Only 12 nodes. No spaghetti wires. Just load your model, write your prompt, and hit generate.

⚠️ IMPORTANT — Nodes 2.0 Required

This workflow is built for the Nodes 2.0 (Vue) interface of ComfyUI. If you don't enable it, the workflow may have display problems.

How to activate Nodes 2.0:

1. Open ComfyUI

2. Go to Settings (⚙️ icon, bottom-left)

3. Find "Use Nodes V2 (Vue)" and toggle it ON

4. Refresh the page

5. Load the workflow

🎯 Features

• Text-to-Image generation

• Automatic download of models in auto version

• Built-in SeedVR2 upscaler — high-quality tiled upscaling (toggleable on/off) Slower than a classic upscaler, but significantly better quality

• Full metadata embedding — your images are saved with all generation parameters, ready for online publishing and remixing

• 6 LoRA slots — with individual on/off toggles and strength control and you can connect as many other lora modules to each other for as many LoRA as you want.

📦 Custom Node Required

Only one custom node to install:

👉 ComfyUI-UmeAiRT-Toolkit

Install via ComfyUI Manager (search "UmeAiRT") or use the UmeAiRT Auto-Installer.
The Toolkit packages everything internally — upscaler, face detailer, metadata saver. No other custom nodes needed.

📂 Files you need (in manual version)

For base version
I2V Model : wan2.2_i2v_high_noise_14B_fp8_scaled.safetensors and wan2.2_i2v_low_noise_14B_fp8_scaled.safetensors
In models/diffusion_models
CLIP: umt5_xxl_fp8_e4m3fn_scaled.safetensors
in models/clip
FLUX_Model : flux1-kontext-dev-fp8-e4m3fn.safetensors
in ComfyUI\models\diffusion_models

FLUX_CLIP : t5xxl_fp8_e4m3fn_scaled.safetensors and clip_l.safetensors
in ComfyUI\models\clip

For GGUF version
I2V Quant Model : wan2.2_i2v_high_noise_14B_QX.gguf and wan2.2_i2v_low_noise_14B_QX.gguf
In models/unet
Quant CLIP: umt5-xxl-encoder-QX.gguf
in models/clip

FLUX_GGUF_Model : G8, G5, G4
in ComfyUI\models\unet

FLUX_CLIP : Q8, Q6, Q5, Q4, Q3
in ComfyUI\models\clip

For speed version
lightning LoRA : Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors and Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors

For AIO version
I2V FAST AIO Model : wan2.2-i2v-rapid-aio.safetensors
In models/checkpoint

FLUX Text encoder : ViT-L-14-TEXT-detail-improved-hiT-GmP-TE-only-HF.safetensors
in ComfyUI\models\clip

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

FLUX VAE : ae.safetensors
in ComfyUI\models\vae

ANY upscale model:

• Realistic : RealESRGAN_x4plus.pth

• Anime : RealESRGAN_x4plus_anime_6B.pth

in models/upscale_models