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wavespeed/
Wan2.1-I2V-14B-480P-Diffusers-fp16

Name: Wan2.1-I2V-14B-480P-Diffusers-fp16
Availability: InStock

diffusers

safetensors

WanImageToVideoPipeline

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Wan2.1-I2V-14B-480P-Diffusers-fp16

An fp16 cast of Wan2.1-I2V-14B-480P-Diffusers.

What was changed

Upstream ships the transformer in fp32. Here every component — transformer, UMT5 text encoder, CLIP image encoder and VAE — is stored in fp16. The transformer goes from ~65.6 GB to ~32.8 GB. Tensor names and shapes are unchanged and nothing is quantized; this is a straight dtype cast.

Usage

python

import torch
from diffusers import WanImageToVideoPipeline
from diffusers.utils import load_image

pipe = WanImageToVideoPipeline.from_pretrained(
    "wavespeed/Wan2.1-I2V-14B-480P-Diffusers-fp16", torch_dtype=torch.float16
).to("cuda")

frames = pipe(
    image=load_image("still.png"),
    prompt="the camera drifts slowly to the left",
    height=480, width=832, num_frames=81,
).frames[0]

License

Apache-2.0, inherited from Wan2.1.