: Import an official Wan2.1 I2V ComfyUI json workflow template.
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
: Solid State Drive (SSD) with at least 30GB of free space for the model weights and associated VAE/text encoder files.
: Place umt5_xxl_fp8_e4m3fn_scaled.safetensors in ComfyUI/models/clip/ . wan2.1 i2v 720p 14b fp16.safetensors
The wan2.1_i2v_720p_14b_fp16.safetensors file is only one piece of the puzzle. To function correctly, it relies on several other key models:
The 14B parameter scale provides the model with an innate "world model." It understands how fabric flows in the wind, how liquid splashes, and how camera pans alter perspective. Instead of sliding static pixels across a screen, it simulates true 3D spatial depth. 3. Hyper-Accurate Prompt Following
This stands for , referring to the number of parameters in the model's neural network. As a "14B" model, it is considered a very large model. Models with more parameters generally have a greater capacity to learn complex patterns, leading to higher quality and more realistic outputs, but they also require significantly more computational power (VRAM) to run. : Import an official Wan2
: The scale of the neural network. A 14B parameter model possesses a deep, nuanced understanding of world physics, lighting, textures, and complex motion dynamics.
Are you planning to generate , anime style content , or social media loops ? Share public link
The performance of Wan2.1 is not just about the number of parameters; it's rooted in its innovative architecture: : Place umt5_xxl_fp8_e4m3fn_scaled
To understand why this model variant is highly coveted by digital artists and machine learning engineers, it helps to dissect its explicit naming convention: Wan AI: Leading AI Video Generation Model
Developed by , this model is a 14-billion-parameter image-to-video (I2V) foundation model capable of generating high-quality 720p videos. Key Technical Details from the Paper
: NVIDIA RTX 4090 (24GB VRAM), RTX 6000 Ada, or data-center cards like the A100 / H100.