ComfyUI_examples
Wan 2.1 Models
Wan 2.1 is a family of video models.
Files to Download
You will first need:
Text encoder and VAE:
umt5_xxl_fp8_e4m3fn_scaled.safetensors goes in: ComfyUI/models/text_encoders/
wan_2.1_vae.safetensors goes in: ComfyUI/models/vae/
Video Models
The diffusion models can be found here
Note: The fp16 versions are recommended over the bf16 versions as they will give better results.
Quality rank (highest to lowest): fp16 > bf16 > fp8_scaled > fp8_e4m3fn
These files go in: ComfyUI/models/diffusion_models/
These examples use the 16 bit files but you can use the fp8 ones instead if you don’t have enough memory.
Workflows
Text to Video
This workflow requires the wan2.1_t2v_1.3B_fp16.safetensors file (put it in: ComfyUI/models/diffusion_models/). You can also use it with the 14B model.
Image to Video
This workflow requires the wan2.1_i2v_480p_14B_fp16.safetensors file (put it in: ComfyUI/models/diffusion_models/) and clip_vision_h.safetensors which goes in: ComfyUI/models/clip_vision/
Note this example only generates 33 frames at 512x512 because I wanted it to be accessible, the model can do more than that. The 720p model is pretty good if you have the hardware/patience to run it.
The input image can be found on the flux page.
Here’s the same example with the 720p model:
VACE reference Image to Video
This workflow requires the wan2.1_vace_14B_fp16.safetensors file (put it in: ComfyUI/models/diffusion_models/)
This example generates a video from a reference image, this is different from generating a video from a start image. You’ll notice that the video does not actually contain the reference image but is clearly derived from it.
You can find the input image here that image contains a Chroma workflow if you are interested how it was generated.
Image Camera to Video
This workflow requires the wan2.1_fun_camera_v1.1_1.3B_bf16.safetensors file (put it in: ComfyUI/models/diffusion_models/) and clip_vision_h.safetensors which goes in: ComfyUI/models/clip_vision/ if you don’t have it already.
The input image can be found on the flux page.