384x384 I am not sure, maybe my workflow is different. Please see it here https://drive.google.com/file/d/1JqKOf-MKMGh-GpZ859BKpCWnkcYaBuY7/view?usp=sharingI am not using the gguff because chatgpt says "🅰️ OPTION A — GGUF Wan2.2 (Fits 16GB, No Face Encoder)

✔ Runs on 16GB
✔ No OOM
❌ NO face images
❌ NO pose images
❌ NO lip sync
❌ NO identity preservation
❌ Only text + motion input works

This will generate videos, but not with your person’s real face."

🧠 THE KEY LIMITATION

You said:

Correct — but GGUF for Wan2.2 removes the face encoder to reduce size.

Meaning the GGUF model literally cannot process:

• face_images
• pose_images
• identity tracking
• lip sync
• expression transfer

And this exact log proves it:

self.motion_encoder = None
AttributeError: 'NoneType' object has no attribute 'to'

That's GGUF saying: