Running this model in its native FP16 format is extremely demanding on VRAM: VRAM Usage

The model file wan2.1_i2v_720p_14B_fp16.safetensors is a high-fidelity image-to-video (I2V) diffusion model based on the Wan 2.1 architecture. It is designed for generating 720p resolution videos and requires significant hardware resources due to its 14-billion parameter size and FP16 (half-precision) format. Hugging Face Model Specifications Architecture

, a novel 3D causal VAE architecture designed for high-efficiency spatio-temporal compression. Capabilities Generates high-definition

The model architecture and technical details are documented in the Wan2.1 Technical Report (and related Hugging Face pages) by the Key Technical Specifications Architecture : Built on the Flow Matching framework within a Diffusion Transformer (DiT) Model Size

: FP16 (Half-precision floating point), resulting in a file size of approximately Resolution : Optimized for (720p) generation. Primary Nodes : Typically used with the WanImageToVideo Hardware Requirements

Supports multilingual text prompts (Chinese and English) via a T5 Encoder Excels at cinematic aesthetics and complex motion. Hugging Face Performance & Requirements Wan-AI/Wan2.1-I2V-14B-720P - Hugging Face

: mainstream Diffusion Transformer (DiT) using a Flow Matching framework.