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33 lines
1.6 KiB
Python
33 lines
1.6 KiB
Python
import torch
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from PIL import Image
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from diffsynth.utils.data import save_video, VideoData
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from diffsynth.core import load_state_dict
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from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
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pipe = WanVideoPipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="Wan2.1_VAE.pth"),
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"),
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],
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)
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state_dict = load_state_dict("models/train/Wan2.2-Animate-14B_full/epoch-1.safetensors")
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pipe.animate_adapter.load_state_dict(state_dict, strict=False)
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input_image = VideoData("data/example_video_dataset/animate/animate_output.mp4", height=480, width=832)[0]
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animate_pose_video = VideoData("data/examples/wan/animate/animate_pose_video.mp4", height=480, width=832).raw_data()[:81-4]
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animate_face_video = VideoData("data/examples/wan/animate/animate_face_video.mp4", height=512, width=512).raw_data()[:81-4]
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video = pipe(
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prompt="视频中的人在做动作",
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seed=0, tiled=True,
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input_image=input_image,
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animate_pose_video=animate_pose_video,
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animate_face_video=animate_face_video,
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num_frames=81, height=480, width=832,
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num_inference_steps=20, cfg_scale=1,
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)
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save_video(video, "video_Wan2.2-Animate-14B.mp4", fps=15, quality=5) |