videoText to VideoVideo

Wan 2.2 14B Text to Video

Generate high-quality videos from text prompts with cinematic aesthetic control and dynamic motion generation using Wan 2.2.

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About

**Model Links** Tutorial | 教程

Diffusion Model

LoRA

VAE

wan_2.1_vae.safetensors

Text Encoder

umt5_xxl_fp8_e4m3fn_scaled.safetensors

File save location

ComfyUI/
├─── models/
│   ├─── diffusion_models/
│   │   ├─── wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors
│   │   └─── wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors
│   ├─── loras/
│   │   ├───wan2.2_t2v_lightx2v_4steps_lora_v1.1_low_noise.safetensors
│   │   └───wan2.2_t2v_lightx2v_4steps_lora_v1.1_high_noise.safetensors
│   ├─── text_encoders/
│   │   └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors 
│   └─── vae/
│       └── wan_2.1_vae.safetensors

1. Box-select then use Ctrl + B to enable 2. If you don't want to run both groups simultaneously, don't forget to use **Ctrl + B** to disable the **fp8_scaled + 4steps LoRA** group after enabling the **fp8_scaled** group, or try the partial - execution feature.

VRAM Usage

Parameters

Parameter	Type	Default	Description
`width`	int	640	Output width in pixels
`height`	int	640	Output height in pixels
`length`	int	81	Video length in frames
`seed`	int	392459563371087	Random seed
`steps`	int	4	Number of sampling steps
`cfg`	float	1	CFG scale (guidance strength)
`sampler_name`	enum	euler	Sampler algorithm
`scheduler`	enum	simple	Noise scheduler
`filename_prefix`	string	video/ComfyUI	Output filename prefix

Usage

c3 comfyui run video_wan2_2_14B_t2v \
  --prompt "your prompt here" \
  --output my_output \
  --width 640 \
  --height 640 \
  --steps 4 \
  --cfg 1

Required Models

Example Prompt

Prompt Example

"``` Beautiful young European woman with honey blonde hair gracefully turning her head back over shoulder, gentle smile, bright eyes looking at camera. Hair flowing in slow motion as she turns. Soft natural lighting, clean background, cinematic slow-motion portrait. ```"

Ready to run this template?

Install the CLI and run this template on GPU in seconds.

pip install hypercli-cli && hyper comfyui run video_wan2_2_14B_t2v

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