Wan2.1 I2v 720p 14b Fp16.safetensors < Verified >

: 24GB (Nvidia RTX 3090 / 4090), though context windows and frame counts will be heavily limited.

: On high-tier GPUs (e.g., H100), a standard 5-second 720p video can take roughly 284 seconds to generate. Comparison with Other Variants Wan-AI/Wan2.1-I2V-14B-720P - Hugging Face

: It supports multilingual inputs (Chinese and English), allowing for complex scene descriptions that the model translates into consistent video frames. Inference Speed wan2.1 i2v 720p 14b fp16.safetensors

: Place wan_2.1_vae.safetensors in ComfyUI/models/vae/ .

: Recognized for superior "physics" and realistic movement, ranking at the top of benchmarks like Implementation Context Interoperability .safetensors format is natively supported in and can be integrated into the : 24GB (Nvidia RTX 3090 / 4090), though

Like any cutting-edge AI model, you may encounter issues. Here are some common problems and potential solutions:

: This filename likely appears in a download link on Hugging Face or a torrent for a community-run video generation pipeline (e.g., ComfyUI custom node). To actually run it, you’d need a script that loads the .safetensors into a model definition matching the Wan2.1 i2v architecture. Inference Speed : Place wan_2

: The core model architecture developed by the Wan Team, building upon previous iterations to improve motion consistency, prompt adherence, and structural integrity.

: To run the 14B model without extreme quantization, a high-end GPU with substantial VRAM (typically 24GB or more is recommended for comfortable operation, though optimizations exist) is needed.

The prefix wan2.1 refers to the series of models, developed by the technology firm Wan-Video (often associated with the Tongyi Wanxiang team from Alibaba, though community-optimized versions have proliferated). The "2.1" denotes a specific version iteration. Compared to earlier Wan models (e.g., Wan2.0), version 2.1 typically brings improvements in: