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πŸš€ WanVideo Model Suite

Combined & Quantized Models for ComfyUI Workflows
Derived from Wan-AI/Wan2.1-VACE-14B


πŸ“‹ Overview

This repository provides optimized models for WanVideoβ€”a high-fidelity video generation framework. Models are quantized to balance performance and resource efficiency while retaining visual quality. Designed for seamless integration with ComfyUI via:


πŸ”§ Key Components

1. Core Diffusion Models

File Size Description
wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors Quantized (FP8) Base video generation model (14B params, 720p).
fantasytalking_fp16.safetensors FP16 Specialized model for expressive dialogue animation.

2. Text & Vision Encoders

File Type Role
umt5-xxl-enc-bf16.safetensors Text Encoder (UMT5-XXL) BF16 precision for multilingual text understanding.
clip_vision_h.safetensors Vision Encoder Processes visual inputs for conditional generation.

πŸ“ ComfyUI Setup Guide

Place files in these directories within your ComfyUI installation:

models/  
β”œβ”€β”€ diffusion_models/  
β”‚   β”œβ”€β”€ wan2.1_i2v_720p_14B_fp8_e4m3fn.safetensors  
β”‚   └── fantasytalking_fp16.safetensors  
β”œβ”€β”€ clip_vision/  
β”‚   └── clip_vision_h.safetensors  
└── text_encoders/  
    └── umt5-xxl-enc-bf16.safetensors  

πŸ”— Dependencies & Resources

  1. Vision Encoder Resources

  2. FantasyTalking Model

  3. Base Model


πŸ’‘ Usage Notes

  • Quantization Benefits: FP8 reduces VRAM usage by ~50% vs FP16, enabling 720p generation on consumer GPUs.
  • Workflow Compatibility: Combine with Text-to-Video, Image-to-Video, or FantasyTalking nodes in ComfyUI.
  • Multi-Modal Inputs: UMT5-XXL encoder supports multilingual prompts (e.g., English, Chinese).

βš–οΈ License

Inherited from parent models (Check Wan-AI License). Non-commercial/research use recommended pending verification.


✨ Pro Tip: For optimal results, pair with WanVideo’s temporal consistency modules to reduce frame flickering in long sequences.


Model Card curated by the ComfyUI community. Maintained for reproducibility and ease of deployment.

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