mirror of
https://github.com/modelscope/DiffSynth-Studio.git
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63 lines
3.0 KiB
Python
63 lines
3.0 KiB
Python
import torch
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from PIL import Image
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from diffsynth.core import load_state_dict
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from diffsynth.utils.data import save_video, VideoData
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from diffsynth.pipelines.wan_video import WanVideoPipeline, ModelConfig
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from modelscope import dataset_snapshot_download, snapshot_download
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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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tokenizer_config=ModelConfig(model_id="Wan-AI/Wan2.1-T2V-1.3B", origin_file_pattern="google/umt5-xxl/"),
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)
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dataset_snapshot_download(
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dataset_id="DiffSynth-Studio/examples_in_diffsynth",
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local_dir="./",
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allow_file_pattern="data/examples/wan/animate/*",
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)
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# Animate
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input_image = Image.open("data/examples/wan/animate/animate_input_image.png")
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animate_pose_video = VideoData("data/examples/wan/animate/animate_pose_video.mp4").raw_data()[:81-4]
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animate_face_video = VideoData("data/examples/wan/animate/animate_face_video.mp4").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=720, width=1280,
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num_inference_steps=20, cfg_scale=1,
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)
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save_video(video, "video_1_Wan2.2-Animate-14B.mp4", fps=15, quality=5)
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# Replace
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snapshot_download("Wan-AI/Wan2.2-Animate-14B", allow_file_pattern="relighting_lora.ckpt", local_dir="models/Wan-AI/Wan2.2-Animate-14B")
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lora_state_dict = load_state_dict("models/Wan-AI/Wan2.2-Animate-14B/relighting_lora.ckpt", torch_dtype=torch.bfloat16, device="cuda")["state_dict"]
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pipe.load_lora(pipe.dit, state_dict=lora_state_dict)
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input_image = Image.open("data/examples/wan/animate/replace_input_image.png")
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animate_pose_video = VideoData("data/examples/wan/animate/replace_pose_video.mp4").raw_data()[:81-4]
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animate_face_video = VideoData("data/examples/wan/animate/replace_face_video.mp4").raw_data()[:81-4]
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animate_inpaint_video = VideoData("data/examples/wan/animate/replace_inpaint_video.mp4").raw_data()[:81-4]
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animate_mask_video = VideoData("data/examples/wan/animate/replace_mask_video.mp4").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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animate_inpaint_video=animate_inpaint_video,
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animate_mask_video=animate_mask_video,
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num_frames=81, height=720, width=1280,
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num_inference_steps=20, cfg_scale=1,
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)
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save_video(video, "video_2_Wan2.2-Animate-14B.mp4", fps=15, quality=5)
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