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feat: windows infer & gradio (#312)

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* fix: windows infer

* docs: update readme

* docs: update readme

* feat: v1.5 gradio for windows&linux

* fix: dependencies

* feat: windows infer & gradio

---------

Co-authored-by: NeRF-Factory <zzhizhou66@gmail.com>
This commit is contained in:
Zhizhou Zhong
2025-04-12 23:22:22 +08:00
committed by GitHub
parent 36163fccbd
commit 67e7ee3c73
14 changed files with 613 additions and 245 deletions
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16
musetalk/utils/utils.py
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@@ -8,26 +8,18 @@ from einops import rearrange
import shutil
import os.path as osp
ffmpeg_path = os.getenv('FFMPEG_PATH')
if ffmpeg_path is None:
print("please download ffmpeg-static and export to FFMPEG_PATH. \nFor example: export FFMPEG_PATH=/musetalk/ffmpeg-4.4-amd64-static")
elif ffmpeg_path not in os.getenv('PATH'):
print("add ffmpeg to path")
os.environ["PATH"] = f"{ffmpeg_path}:{os.environ['PATH']}"
from musetalk.models.vae import VAE
from musetalk.models.unet import UNet,PositionalEncoding
def load_all_model(
unet_model_path="./models/musetalk/pytorch_model.bin",
vae_type="sd-vae-ft-mse",
unet_config="./models/musetalk/musetalk.json",
unet_model_path=os.path.join("models", "musetalkV15", "unet.pth"),
vae_type="sd-vae",
unet_config=os.path.join("models", "musetalkV15", "musetalk.json"),
device=None,
):
vae = VAE(
model_path = f"./models/{vae_type}/",
model_path = os.path.join("models", vae_type),
)
print(f"load unet model from {unet_model_path}")
unet = UNet(