Lightweight WAN2.2 Animate + LORA 12GB GGUF Version

Wan 2.2 Animate Model Download and Setup (ComfyUI)

To use this workflow in ComfyUI, download the models listed below and place them in the specified folders.
Make sure folder names and file names match exactly as shown to prevent load errors.

Main Diffusion Model (GGUF)

Model: Wan2.2-Animate-14B-GGUF
Download:
https://huggingface.co/QuantStack/Wan2.2-Animate-14B-GGUF

Put it here:
ComfyUI/models/diffusion_models/

Note:
This model is quantized in GGUF format. Choose the version that fits your GPU VRAM:

• Q4_K_M → about 10–12 GB VRAM (balanced)

• Q5_K_S → about 14–16 GB VRAM (recommended for mid-range GPUs)

• Q6_K → about 20 GB or more VRAM (highest quality)

LoRAs

lightx2v I2V (animation motion LoRA)
Download:
https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/Lightx2v/lightx2v_I2V_14B_480p_cfg_step_distill_rank64_bf16.safetensors

Put it here:
ComfyUI/models/loras/

WanAnimate relight LoRA (lighting and realism enhancer)
Download:
https://huggingface.co/Kijai/WanVideo_comfy/resolve/main/LoRAs/Wan22_relight/WanAnimate_relight_lora_fp16.safetensors

Put it here:
ComfyUI/models/loras/

Text Encoder

umt5_xxl_fp8_e4m3fn_scaled.safetensors
Download:
https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/text_encoders/umt5_xxl_fp8_e4m3fn_scaled.safetensors

Put it here:
ComfyUI/models/text_encoders/

CLIP Vision Encoder

clip_vision_h.safetensors
Download:
https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/resolve/main/split_files/clip_vision/clip_vision_h.safetensors

Put it here:
ComfyUI/models/clip_visions/

VAE

wan_2.1_vae.safetensors
Download:
https://huggingface.co/Comfy-Org/Wan_2.2_ComfyUI_Repackaged/resolve/main/split_files/vae/wan_2.1_vae.safetensors

Put it here:
ComfyUI/models/vae/

Required Custom Nodes

Install these custom nodes either through ComfyUI Manager or by cloning them manually into the folder:
ComfyUI/custom_nodes/

comfyui_controlnet_aux
https://github.com/Fannovel16/comfyui_controlnet_aux

ComfyUI-KJNodes
https://github.com/kijai/ComfyUI-KJNodes

ComfyUI-segment-anything-2
https://github.com/kijai/ComfyUI-segment-anything-2

IAMCCS-nodes
https://github.com/IAMCCS/IAMCCS-nodes

ComfyUI-VideoHelperSuite
https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite

Quick Start

1. Load this workflow in ComfyUI.

2. Upload your reference image and input video.

3. Adjust the positive and negative prompts.

4. Make sure the green points and red points are set up properly in the detection subgraph

5. Make sure the width and height values are multiples of 16.

6. Run the workflow and your final animation will be saved automatically.

Conclusion

This workflow uses the Wan 2.2 Animate 14B model in GGUF format to bring realistic motion generation into ComfyUI.
Match your model quantization level to your GPU memory, install the required nodes, and the workflow will run smoothly.