Wan2.1 I2v 720p 14b Fp16.safetensors |link| Direct

Wan2.1-I2V-14B-720P is a cutting-edge, open-source video foundation model developed by Alibaba's Wan-AI team. Released in early 2025, this 14-billion parameter model specializes in Image-to-Video (I2V) generation, transforming static images into high-definition 720p videos with realistic physics and complex motion dynamics.

resolution videos. The fp16.safetensors version is the full-precision weights file, providing the highest fidelity but requiring significant VRAM (typically over 30GB for native inference). 1. Essential Model Files wan2.1 i2v 720p 14b fp16.safetensors

720p: Native support for 1280x720 resolution, ensuring the output is sharp enough for social media and professional b-roll. which in this case is 720p

⚙️ Technical constraint: The model is big enough to plausibly generate 720p motion at decent frame rates. suggesting it has 14 billion parameters

• wan2.1: This could refer to the version or iteration of the model, implying it's an updated or refined version (version 2.1) of an earlier model.
• i2v: This stands for image-to-video, indicating the model's primary function is to generate video from a given image.
• 720p: This specifies the resolution of the output video, which in this case is 720p, a common HD video resolution.
• 14b: This likely refers to the number of parameters in the model, suggesting it has 14 billion parameters, which indicates a large and potentially complex model.
• fp16: This denotes that the model uses 16-bit floating-point numbers, which can reduce memory usage and increase inference speed compared to the more commonly used 32-bit floating-point numbers, at the cost of some precision.
• .safetensors: This is a file format used for storing and loading machine learning models, designed with security in mind.