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

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

Do not describe the scene elements that are already visible in the image. Instead, use your text prompt to describe what changes (e.g., "the dragon breathes fire, smoke fills the air" ). wan2.1 i2v 720p 14b fp16.safetensors

huggingface-cli download Comfy-Org/Wan_2.1_ComfyUI_repackaged split_files/clip_vision/clip_vision_h.safetensors --local-dir ./ComfyUI/models/clip_vision/ Like any cutting-edge AI model, you may encounter issues

: Unlike Text-to-Video (T2V) models, I2V models take a static source image as a structural anchor and a text prompt as a behavioral guide. The AI then animates the image based on those instructions. huggingface-cli download Comfy-Org/Wan_2

The most popular way to run this model is within , using community-developed wrappers that handle the complex pipeline of loading the model, text encoders, and VAE.

You will need custom nodes (e.g., ComfyUI-WanVideoWrapper). The basic workflow:

video_frames = pipe( image=input_image, prompt="cinematic video with smooth motion", num_frames=24, num_inference_steps=50, guidance_scale=7.5 ).frames[0]