wavespeed/Wan2.1-I2V-14B-720P-Diffusers-fp16
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Wan2.1-I2V-14B-720P-Diffusers-fp16
An fp16 cast of Wan2.1-I2V-14B-720P-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
import torch
from diffusers import WanImageToVideoPipeline
from diffusers.utils import load_image
pipe = WanImageToVideoPipeline.from_pretrained(
"wavespeed/Wan2.1-I2V-14B-720P-Diffusers-fp16", torch_dtype=torch.float16
).to("cuda")
frames = pipe(
image=load_image("still.png"),
prompt="the camera pushes in slowly",
height=720, width=1280, num_frames=81,
).frames[0]License
Apache-2.0, inherited from Wan2.1.
