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- Manual Install Method from my last Youtube Video: https://youtu.be/oOGiYy7cTFw
- # Manual Installation Guide for Wan FusionX ComfyUI
- This guide will walk you through setting up ComfyUI with all the necessary custom nodes and models for the Wan FusionX workflow.
- ---
- ### **Step 1: Prerequisites**
- Before you begin, ensure you have the following software installed:
- * **7-Zip:** A file archiver for extracting the ComfyUI package. Download from: https://www.7-zip.org/
- * **Git:** A version control system needed to download custom nodes. Download from: https://git-scm.com/download/win
- ---
- ### **Step 2: Download and Extract ComfyUI**
- 1. Download the ComfyUI portable version for NVIDIA GPUs from the official repository:
- * **Download Link:** https://github.com/comfyanonymous/ComfyUI/releases/download/v0.3.44/ComfyUI_windows_portable_nvidia.7z
- 2. Once downloaded, use 7-Zip to extract the archive. After extraction, your folder structure should look like this:
- ```
- ComfyUI_windows_portable/
- ├── ComfyUI/
- │ ├── models/
- │ └── custom_nodes/
- ├── python_embeded/
- └── run_nvidia_gpu.bat
- ```
- ---
- ### **Step 3: Install Required Custom Nodes**
- 1. Navigate to the `custom_nodes` directory:
- `ComfyUI_windows_portable\ComfyUI\custom_nodes`
- 2. Open a Command Prompt or Terminal window in this folder. You can do this by typing `cmd` in the folder's address bar and pressing Enter.
- 3. Run the following `git clone` commands one by one to download all the necessary nodes:
- ```cmd
- 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/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
- ```
- 4. **IMPORTANT:** Install Python dependencies for the new nodes. Check each new folder for a `requirements.txt` file. For each one you find, run the corresponding command below from the `custom_nodes` directory:
- ```cmd
- ..\..\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_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
- ```
- ---
- ### **Step 4: Download Wan FusionX Model Files**
- All required model files are hosted on Hugging Face:
- **https://huggingface.co/Aitrepreneur/FLX/tree/main**
- Download the files listed below and place them into the correct subdirectories inside `ComfyUI_windows_portable\ComfyUI\models\`. Create any missing folders (like `unet`, `text_encoders`, etc.).
- **1. Text Encoders**
- * **Path:** `ComfyUI\models\text_encoders\`
- * **File:** `umt5-xxl-encoder-Q5_K_S.gguf`
- **2. VAE**
- * **Path:** `ComfyUI\models\vae\`
- * **File:** `wan_2.1_vae.safetensors`
- **3. UNets (Choose ONE set based on your GPU VRAM)**
- * **Path:** `ComfyUI\models\unet\`
- * **For GPUs < 12 GB VRAM (Q4_K_S):**
- * `Wan14BT2VFusionX-Q4_K_S.gguf`
- * `Wan2.1_T2V_14B_FusionX_VACE-Q4_K_S.gguf`
- * **For GPUs 12-16 GB VRAM (Q5_K_S):**
- * `Wan14BT2VFusionX-Q5_K_S.gguf`
- * `Wan2.1_T2V_14B_FusionX_VACE-Q5_K_S.gguf`
- * **For GPUs 16+ GB VRAM (Q8_0):**
- * `Wan14BT2VFusionX-Q8_0.gguf`
- * `Wan2.1_T2V_14B_FusionX_VACE-Q8_0.gguf`
- **4. Optional: Original Wan UNet**
- * **Path:** `ComfyUI\models\unet\`
- * **File:** `wan2.1-t2v-14b-[YOUR_CHOSEN_VERSION].gguf` (e.g., `wan2.1-t2v-14b-Q5_K_S.gguf`)
- **5. LoRAs**
- * **Path:** `ComfyUI\models\loras\`
- * **Files:**
- * `Wan2.1_T2V_14B_FusionX_LoRA.safetensors`
- * `Wan21_T2V_14B_lightx2v_cfg_step_distill_lora_rank32.safetensors`
- **6. Upscale Models**
- * **Path:** `ComfyUI\models\upscale_models\`
- * **Files:**
- * `4x-ClearRealityV1.pth`
- * `RealESRGAN_x4plus_anime_6B.pth`
- ---
- ### **Step 5: Run ComfyUI**
- Once all files are in place, navigate back to the main `ComfyUI_windows_portable` directory and double-click the **`run_nvidia_gpu.bat`** file to start ComfyUI.
- ---
- Run ComfyUI
- ## RunPod Installation
- 1. Create account at: https://bit.ly/runpodAi
- 2. Choose a 24GB VRAM GPU with the aitrepreneur/comfyui template
- 3. Access port 8888
- 4. Follow the same folder structure as above
- 5. Use `curl` to download files:
- curl -L -o "filename" "URL"
- 6. Monitor logs with:
- tail -f workspace/logs/comfyui.log
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