AI Avatar Video from Voice Using Just 10GB VRAM (WanGP 5.4 + Hunyuan)

Tools & Scripts
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Short Introduction

You can now create highly realistic, lip-synced talking avatar videos — powered by AI — using nothing more than a standard 10GB VRAM GPU. With WanGP 5.4 and the Hunyuan Video Avatar model, anyone can generate stunning 15-second clips that match speech or songs to facial expressions and motion, all locally and without needing enterprise hardware.

Simplified One-Line Flowchart

Voice/song + Portrait Image ➔ WanGP Web UI + Hunyuan Model ➔ 15s Talking Avatar Output

Easy Step-by-Step Method

Step 1: Get the Tool

Step 2: Prepare Inputs

  • Voice or song clip up to 15 seconds for best stability.
  • Portrait image resized to exactly 480x832 to prevent tensor mismatch errors during generation.

Step 3: Launch the Interface and Set Parameters

  • Open WanGP in your browser.
  • Upload your voice/audio file and image.
  • Select Hunyuan Video Avatar as your model.
  • Recommended settings:
    • Steps: 10–30 (20 is a good balance)
    • Resolution: 512x512
    • Attention: auto or sage2
    • Data Type: BF16
    • Quantization: Scaled

Step 4: Optimize for Smooth Generation

  • If generation is sluggish or fails:
    • Use PyTorch 2.7.1 with video/audio support
    • Add triton and sage-attention
    • Avoid uploading full-length songs; trim to small chunks (5–10s)

Step 5: Optional Add-ons & Advanced Use

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