On a single A100, generating a 4-second 720p video at 24fps (96 frames) takes approximately 12-18 minutes using typical DDIM samplers. On dual 4090s, expect 25-30 minutes.
Operating natively at 720p resolution means the model preserves fine textures, such as human hair, skin pores, fabric weaves, and atmospheric elements like smoke or rain, making it viable for professional workflows. Hardware Requirements and Optimization
Ensure you have the updated ComfyUI-Wan2.1 wrapper wrappers installed via the ComfyUI Manager. Construct the Pipeline: Load an image using a Load Image node. wan2.1 i2v 720p 14b fp16.safetensors
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.
: A modern, secure file format for storing neural network weights that prevents arbitrary code execution, ensuring safe downloads. Key Features and Capabilities Advanced Motion Control On a single A100, generating a 4-second 720p
wan2.1_i2v_720p_14B_fp16.safetensors refers to the 14-billion parameter Image-to-Video (I2V) variant of the generative model, specifically optimized for resolution and stored in precision. Hugging Face
# Clone the repository git clone https://github.com/Wan-Video/Wan2.1.git cd Wan2.1 Hardware Requirements and Optimization Ensure you have the
The primary and most popular platform for running this model is , a powerful node-based interface for generative AI. The recommended source for the files is the Comfy-Org/Wan_2.1_ComfyUI_repackaged repository on Hugging Face . Follow these steps:
: Use the ComfyUI Manager to search for and install the official custom node wrapper supporting Wan2.1 (e.g., Kijai's ComfyUI-WanVideoWrapper ).
I can provide a tailored installation guide or optimization strategy! Share public link
If you want to set up this model for your creative workflow, let me know: What capacity you are running.