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wan-series

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Artiprocher
2025-11-14 19:05:26 +08:00
parent 5be5c32fe4
commit e3356556ee
215 changed files with 5504 additions and 482 deletions
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8
examples/wanvideo/model_inference/Wan2.2-Animate-14B.py
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@@ -1,8 +1,9 @@
import torch
from PIL import Image
from diffsynth.core import load_state_dict
from diffsynth.utils.data import save_video, VideoData
from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
from modelscope import dataset_snapshot_download
from modelscope import dataset_snapshot_download, snapshot_download
pipe = WanVideoPipeline.from_pretrained(
@@ -14,6 +15,7 @@ pipe = WanVideoPipeline.from_pretrained(
ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="Wan2.1_VAE.pth"),
ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"),
],
tokenizer_config=ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="google/umt5-xxl/"),
)
dataset_snapshot_download(
@@ -38,7 +40,9 @@ video = pipe(
save_video(video, "video_1_Wan2.2-Animate-14B.mp4", fps=15, quality=5)
# Replace
pipe.load_lora(pipe.dit, ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="relighting_lora.ckpt"))
snapshot_download("Wan-AI/Wan2.2-Animate-14B", allow_file_pattern="relighting_lora.ckpt", local_dir="models/Wan-AI/Wan2.2-Animate-14B")
lora_state_dict = load_state_dict("models/Wan-AI/Wan2.2-Animate-14B/relighting_lora.ckpt", torch_dtype=torch.float32, device="cuda")["state_dict"]
pipe.load_lora(pipe.dit, state_dict=lora_state_dict)
input_image = Image.open("data/examples/wan/animate/replace_input_image.png")
animate_pose_video = VideoData("data/examples/wan/animate/replace_pose_video.mp4").raw_data()[:81-4]
animate_face_video = VideoData("data/examples/wan/animate/replace_face_video.mp4").raw_data()[:81-4]