Give you to get better motion. Let me know how you'd like to learn more . Wan-Video/Wan2.1 - GitHub
The industry-standard file format that ensures the weights are safe to load and fast to map to memory. Key Features and Performance 1. Exceptional Temporal Stability wan2.1 i2v 720p 14b fp16.safetensors
Yes. Community members have created GGUF (quantized) versions of the Wan2.1 14B model. A Q4_K_M quant might reduce VRAM usage to ~14-16GB, but this will degrade the 720p quality, introducing compression artifacts and reducing temporal stability. The FP16 version remains the "gold standard." Give you to get better motion
: The underlying model architecture family. Wan2.1 introduces optimized spatio-temporal attention mechanisms that significantly outperform older architectures like Sora-style variants or early diffusion models. Key Features and Performance 1
Demystifying Wan2.1-I2V-720P-14B-FP16.safetensors: The Next Frontier in Image-to-Video AI Generation
The 720p 14b model excels at "camera motion." Prompts like "zoom in slowly," "pan left to reveal a second character," or "dolly out" are interpreted with cinematic smoothness. Smaller models often confuse camera motion with subject motion, leading to disorienting results. This model separates the two.
: Specifies the precision of the model weights ( Floating Point 16 ), which balances precision and VRAM usage.