videoFLF2VVideo

Wan 2.2 14B Fun Inp

Generate videos from start and end frames using Wan 2.2 Fun Inp.

About

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.

**Model Links** Tutorial

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_fun_inpaint_high_noise_14B_fp8_scaled.safetensors
│   │   └─── wan2.2_fun_inpaint_low_noise_14B_fp8_scaled.safetensors
│   ├─── loras/
│   │   ├─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
│   │   └─── wan2.2_i2v_lightx2v_4steps_lora_v1_low_noise.safetensors
│   ├─── text_encoders/
│   │   └─── umt5_xxl_fp8_e4m3fn_scaled.safetensors 
│   └─── vae/
│       └── wan_2.1_vae.safetensors

Video Size By default, we set the video to a smaller size for users with low VRAM. If you have enough VRAM, you can change the size

About 4 Steps LoRA Using the Wan2.2 Lighting LoRA will result in the loss of video dynamics, but it will reduce the generation time. This template provides two workflows, and you can enable one as needed.

Parameters

Parameter	Type	Default	Description
`seed`	int	221824495232956	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_fun_inpaint \
  --prompt "your prompt here" \
  --output my_output \
  --steps 4 \
  --cfg 1

Required Models

Example Prompt

Prompt Example

"``` A dreamy scene where a little cat is sleeping. Zoom in, and the cat opens its eyes, looks up, and blinks. In Q-style, with ice crystals. ```"

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_fun_inpaint

View Documentation