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wavespeed/
Wan2.1-T2V-14B-Diffusers-fp16

Name: Wan2.1-T2V-14B-Diffusers-fp16
Availability: InStock

diffusers

safetensors

WanPipeline

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Wan2.1-T2V-14B-Diffusers-fp16

An fp16 cast of Wan2.1-T2V-14B-Diffusers.

What was changed

Upstream ships the transformer in fp32. Here every component is stored in fp16, which halves the download and the resident weight footprint — the transformer goes from ~57.2 GB to ~28.6 GB — with no change to tensor names or shapes. Nothing is quantized; this is a straight dtype cast.

fp16 rather than bf16 is deliberate: it is the dtype our fp8/nf4 variants are built on top of, so the whole family shares one baseline.

Usage

python

import torch
from diffusers import WanPipeline

pipe = WanPipeline.from_pretrained(
    "wavespeed/Wan2.1-T2V-14B-Diffusers-fp16", torch_dtype=torch.float16
).to("cuda")

frames = pipe("a paper boat drifting down a gutter after rain", num_frames=81).frames[0]

wavespeed/Wan2.1-T2V-14B-Diffusers-fp16-nf4 — the same baseline with NF4-quantized transformer blocks.

License

Apache-2.0, inherited from Wan2.1.

wavespeed/Wan2.1-T2V-14B-Diffusers-fp16

Wan2.1-T2V-14B-Diffusers-fp16

What was changed

Usage

Related

License

wavespeed/
Wan2.1-T2V-14B-Diffusers-fp16