Features
Uses quantized GGUF models instead of FP16 checkpoints for faster speed and lower VRAM usage
Uses TripleKSampler for better prompt adherence and improved motion
Uses LightX2V Lightning LoRAs for blazing fast speed (5 minutes for 81-frame video on RTX 4080)
Uses RIFE VFI for quadruple FPS boost (to buttery smooth 60 FPS)
Custom ComfyUI Nodes
Download Models
Unet
The following files should be saved into /models/unet
Text Encoders
The following files should be saved into /models/text_encoders
VAE
The following files should be saved into /models/vae
LoRAs (for speed)
The following files should be saved into /models/loras
Description
Added RIFE VFI to increase frame rate to 60FPS
Details
Downloads
1,737
Platform
CivitAI
Platform Status
Available
Created
10/31/2025
Updated
11/24/2025
Deleted
-
Files
fastWan22I2V60FPSForLow_v21.zip
Mirrors
CivitAI (1 mirrors)