Most open-source video models (e.g., ZeroScope, ModelScope) suffer from "temporal drift"—the subject slowly melts into the background after 2 seconds. Wan2.1 14B, due to its scale and transformer architecture, maintains subject identity across 5-9 seconds (the typical generation length for i2v variants). A person waving their hand keeps the same number of fingers; a dog running keeps the same fur pattern.
The choice of 720p resolution indicates that the model aims to balance between video quality and computational requirements, making it suitable for a wide range of applications where HD video is sufficient or preferred. wan2.1 i2v 720p 14b fp16.safetensors
What does this mean in practice?
: This model is resource-intensive. Running it in native FP16 typically requires high-end hardware like an NVIDIA A100 for optimal speeds. While users with RTX 4090 (24GB VRAM) Most open-source video models (e