WAN 2.2 MANUAL INSTALL UPDATE

Manual Install Method from my last Youtube Video: https://youtu.be/L_fU_pP_MQU
AND UPDATED VIDEO FOR IMAGE TO VIDEO LORAS: https://youtu.be/aTGAiZe6SXU

# Manual Installation Guide for Wan 2.2 ComfyUI

This guide walks you through setting up ComfyUI with all the custom nodes and models needed for the **Wan 2.2 “Video & Image Gen King”** workflow.

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### **Step 1: Prerequisites**

Before you begin, ensure you have the following installed
* **7-Zip** – https://www.7-zip.org/
* **Git**  – https://git-scm.com/download/win

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### **Step 2: Download and Extract ComfyUI**

1. Download the **portable NVIDIA build (v0.3.48)** of ComfyUI:
   https://github.com/comfyanonymous/ComfyUI/releases/download/v0.3.48/ComfyUI_windows_portable_nvidia.7z
2. Extract with 7-Zip. Your folder should look like:

ComfyUI_windows_portable/
├── ComfyUI/
│ ├── models/
│ └── custom_nodes/
├── python_embeded/
└── run_nvidia_gpu.bat


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### **Step 3: Install Required Custom Nodes**

1. Go to `ComfyUI_windows_portable\ComfyUI\custom_nodes`
2. Open **cmd** in that folder
3. Run:

git clone https://github.com/ltdrdata/ComfyUI-Manager.git
git clone https://github.com/Fannovel16/comfyui_controlnet_aux
git clone https://github.com/city96/ComfyUI-GGUF
git clone https://github.com/rgthree/rgthree-comfy
git clone https://github.com/yolain/ComfyUI-Easy-Use
git clone https://github.com/kijai/ComfyUI-KJNodes
git clone https://github.com/kijai/ComfyUI-WanVideoWrapper
git clone https://github.com/ltdrdata/ComfyUI-Impact-Pack
git clone https://github.com/ssitu/ComfyUI_UltimateSDUpscale
git clone https://github.com/cubiq/ComfyUI_essentials
git clone https://github.com/Zehong-Ma/ComfyUI-MagCache
git clone https://github.com/wallish77/wlsh_nodes
git clone https://github.com/vrgamegirl19/comfyui-vrgamedevgirl
git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite
git clone https://github.com/Fannovel16/ComfyUI-Frame-Interpolation
git clone https://github.com/ClownsharkBatwing/RES4LYF



4. For every folder that has a **`requirements.txt`**, install deps (example):

....\python_embeded\python.exe -m pip install -r ComfyUI-Manager\requirements.txt
....\python_embeded\python.exe -m pip install -r comfyui_controlnet_aux\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-GGUF\requirements.txt
....\python_embeded\python.exe -m pip install -r rgthree-comfy\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-Easy-Use\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-KJNodes\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-WanVideoWrapper\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-Impact-Pack\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI_UltimateSDUpscale\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI_essentials\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-MagCache\requirements.txt
....\python_embeded\python.exe -m pip install -r wlsh_nodes\requirements.txt
....\python_embeded\python.exe -m pip install -r comfyui-vrgamedevgirl\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-VideoHelperSuite\requirements.txt
....\python_embeded\python.exe -m pip install -r ComfyUI-Frame-Interpolation\requirements.txt
....\python_embeded\python.exe -m pip install -r RES4LYF\requirements.txt


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### **Step 4: Download Wan 2.2 Model Files**

All files are on: https://huggingface.co/Aitrepreneur/FLX/tree/main
Place them under `ComfyUI_windows_portable\ComfyUI\models\`

**Text Encoders** → `models\text_encoders\`
`umt5-xxl-encoder-Q5_K_S.gguf`

**VAE** → `models\vae\`
`wan_2.1_vae.safetensors`

**UNets** → `models\unet\` *(pick correct VRAM variant)*

<12 GB VRAM
Wan2.2-I2V-A14B-HighNoise-Q4_K_S.gguf
Wan2.2-I2V-A14B-LowNoise-Q4_K_S.gguf
Wan2.2-T2V-A14B-HighNoise-Q4_K_S.gguf
Wan2.2-T2V-A14B-LowNoise-Q4_K_S.gguf

12-24 GB VRAM
Wan2.2-I2V-A14B-HighNoise-Q5_K_S.gguf
Wan2.2-I2V-A14B-LowNoise-Q5_K_S.gguf
Wan2.2-T2V-A14B-HighNoise-Q5_K_S.gguf
Wan2.2-T2V-A14B-LowNoise-Q5_K_S.gguf

24 GB+ VRAM
Wan2.2-I2V-A14B-HighNoise-Q8_0.gguf
Wan2.2-I2V-A14B-LowNoise-Q8_0.gguf
Wan2.2-T2V-A14B-HighNoise-Q8_0.gguf
Wan2.2-T2V-A14B-LowNoise-Q8_0.gguf

**LoRAs** → `models\loras\`

Wan2.1_T2V_14B_FusionX_LoRA.safetensors
Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors
Wan2.2-Lightning_T2V-A14B-4steps-lora_HIGH_fp16.safetensors
Wan2.2-Lightning_T2V-A14B-4steps-lora_LOW_fp16.safetensors

*****NEW****
Wan2.2-Lightning_I2V-A14B-4steps-lora_HIGH_fp16.safetensors
Wan2.2-Lightning_I2V-A14B-4steps-lora_LOW_fp16.safetensors
Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_HIGH_fp16.safetensors
Wan2.2-Lightning_T2V-v1.1-A14B-4steps-lora_LOW_fp16.safetensors



**Upscale Models** → `models\upscale_models\`

4x-ClearRealityV1.pth
RealESRGAN_x4plus_anime_6B.pth


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### **Step 5: Run ComfyUI**

Return to `ComfyUI_windows_portable` and double-click `run_nvidia_gpu.bat`.

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## **RunPod Installation**

1. Create account at https://bit.ly/runpodAi
2. Pick a 24 GB VRAM GPU with the **aitrepreneur/comfyui** template
3. Access port **8888**
4. Mirror the same folder structure from this guide
5. Use `curl` to grab files, e.g.:
   `curl -L -o "filename" "URL"`
6. Watch logs:
   `tail -f workspace/logs/comfyui.log`