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import torch |
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from PIL import Image |
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from diffsynth import save_video, VideoData, load_state_dict |
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from diffsynth.pipelines.wan_video_new 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", offload_device="cpu"), |
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"), |
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ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"), |
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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", offload_device="cpu"), |
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], |
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) |
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pipe.enable_vram_management() |
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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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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, "video1.mp4", fps=15, quality=5) |
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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.float32, 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, "video2.mp4", fps=15, quality=5) |
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