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import torch
from PIL import Image
from diffsynth import save_video, VideoData, load_state_dict
from diffsynth.pipelines.wan_video_new import WanVideoPipeline, ModelConfig
from modelscope import dataset_snapshot_download, snapshot_download
pipe = WanVideoPipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="diffusion_pytorch_model*.safetensors", offload_device="cpu"),
ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"),
ModelConfig(model_id="Wan-AI/Wan2.2-Animate-14B", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"),
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"),
],
)
pipe.enable_vram_management()
dataset_snapshot_download(
dataset_id="DiffSynth-Studio/examples_in_diffsynth",
local_dir="./",
allow_file_pattern="data/examples/wan/animate/*",
)
# Animate
input_image = Image.open("data/examples/wan/animate/animate_input_image.png")
animate_pose_video = VideoData("data/examples/wan/animate/animate_pose_video.mp4").raw_data()[:81-4]
animate_face_video = VideoData("data/examples/wan/animate/animate_face_video.mp4").raw_data()[:81-4]
video = pipe(
prompt="视频中的人在做动作",
seed=0, tiled=True,
input_image=input_image,
animate_pose_video=animate_pose_video,
animate_face_video=animate_face_video,
num_frames=81, height=720, width=1280,
num_inference_steps=20, cfg_scale=1,
)
save_video(video, "video1.mp4", fps=15, quality=5)
# Replace
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]
animate_inpaint_video = VideoData("data/examples/wan/animate/replace_inpaint_video.mp4").raw_data()[:81-4]
animate_mask_video = VideoData("data/examples/wan/animate/replace_mask_video.mp4").raw_data()[:81-4]
video = pipe(
prompt="视频中的人在做动作",
seed=0, tiled=True,
input_image=input_image,
animate_pose_video=animate_pose_video,
animate_face_video=animate_face_video,
animate_inpaint_video=animate_inpaint_video,
animate_mask_video=animate_mask_video,
num_frames=81, height=720, width=1280,
num_inference_steps=20, cfg_scale=1,
)
save_video(video, "video2.mp4", fps=15, quality=5)
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