Wan2.2 T2V A14B VACE FP16 GGUF Models (High & Low Noise)

Important Notice: Experimental Model

• Legal Status: The Apache 2.0 license allows commercial use of the generated content
• Technical Limitations: This is an experimental integration of Wan2.2 T2V A14B with VACE scopes
• Known Issue: Color shifting problems may occur (as documented in the original model)
• Stability: Not recommended for production environments without thorough testing

Model Files

• Wan2.2_T2V_High_Noise_14B_VACE_fp16.gguf — High-noise model (used for initial denoising steps)
• wan2.2_t2v_low_noise_14B_fp16.gguf — Low-noise model (used for detail refinement)

Requirements

• ComfyUI
• ComfyUI-GGUF extension by city96

Installation

1. Download both GGUF files and place them in ComfyUI/models/unet/
2. Install ComfyUI-GGUF extension
3. Restart ComfyUI

Usage

1. Load the workflow file included in this repository (drag and drop into ComfyUI)
2. The workflow will automatically use:
   • High-noise model for initial denoising steps (first 2–4 steps)
   • Low-noise model for final detail refinement (remaining steps)

Format Details

• Base model: lym00/Wan2.2_T2V_A14B_VACE-test
• Original model: Combination of Wan2.2 T2V A14B and VACE scopes
• Format: GGUF container with FP16 precision (unquantized)
• Model size: ~27B parameters (14B active per step)
• File sizes:
  • High: 34.7 GB
  • Low: 34.7 GB

Why FP16 in GGUF?

• Loading FP16 models in GGUF format
• Full compatibility with ComfyUI workflows
• Twice the file size of quantized models, but maximum quality

MoE Architecture Explained

• High-noise expert: Used for early denoising, focuses on layout and motion
• Low-noise expert: Used later for refining textures and details
• Transition point determined by signal-to-noise ratio (SNR)

VACE Integration

• Enhances cinematic-level aesthetics
• Allows fine control over lighting, composition, contrast, and color tone
• Enables more controllable cinematic style generation

Known Limitations & Commercial Use Guidance

1. Color Shifting Issue:
   • Same issue as in the original lym00 model
   • VACE team is reportedly working on a fix (Banodoco Discord)
   • Avoid for applications requiring color accuracy
2. Experimental Status:
   • Some features may not work as expected
   • Output quality can vary
3. Commercial Use Recommendations:
   • Allowed under Apache 2.0
   • Test thoroughly before commercial deployment
   • Consider the official Wan-AI/Wan2.2-T2V-A14B for production
4. Legal Disclaimer:
   • You are fully responsible for compliance with laws and ethical use

Original Model Information

• Wan2.2 T2V A14B — Text-to-Video MoE model supporting 480p & 720p
• VACE — Video Aesthetic Control Embedding from Wan2.1

Features:

• Effective MoE separation of denoising steps
• Cinematic-level control over visuals
• High-definition motion generation at 720p@24fps on consumer GPUs

License Agreement