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Alibaba’s Wan 2.1 InPaint Start/End Frame Workflow

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If you want to turn simple images into smooth AI animations, Alibaba’s Wan 2.1 InPaint in ComfyUI is a game-changer. I’ve tested this workflow extensively, and in this guide, I’ll show you how to create start/end frame videos—even on low VRAM setups.

Why Wan 2.1 InPaint?

This tool lets you generate videos by analyzing just two images:

  • Start Frame (e.g., front view of a car)
  • End Frame (e.g., rear view)

The AI fills in the motion between them, perfect for:
✔ Morphing effects
✔ Simple animations
✔ Low-budget projects

Step 1: Install Wan 2.1 in ComfyUI

  1. Download the Wan 2.1 InPaint model (I’ll link it below).
  2. Place it in:
ComfyUI/models/diffusion  

Load it using the “Juan Fun InPaint 2 Video” node.

Step 2: Optimize for Low VRAM

If your GPU struggles:

  • Use the 1.3B model (not 14B)
  • Set resolution to 512×512 or lower
  • Enable –lowvram in ComfyUI startup commands

Tested on a 4GB GTX 1650—works smoothly!

Step 3: Run Your First Interpolation

  1. Connect your images to CLIP Vision Encode.
  2. Set:
    • CFG 0: Check raw motion (catches errors early)
    • CFG 4-5: Final render (better details)
  3. Generate!

Pro Tip: For natural movement, keep start/end frames similar (same character/lighting).

Fixing Common Issues

❌ Problem: Blurry output
✅ Fix: Upscale with Tile LoRA after generation

❌ Problem: Warped faces
✅ Fix: Add midpoint frames or reduce CFG

❌ Problem: Low VRAM crashes
✅ Fix: Use –medvram or slice video into shorter clips

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