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33 lines
1.9 KiB
Python
33 lines
1.9 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.pipelines.wan_video import WanVideoPipeline, ModelConfig
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from modelscope import dataset_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="PAI/Wan2.2-Fun-A14B-Control", origin_file_pattern="high_noise_model/diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="PAI/Wan2.2-Fun-A14B-Control", origin_file_pattern="low_noise_model/diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="PAI/Wan2.2-Fun-A14B-Control", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
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ModelConfig(model_id="PAI/Wan2.2-Fun-A14B-Control", origin_file_pattern="Wan2.1_VAE.pth"),
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],
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)
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pipe.load_lora(pipe.dit, "models/train/Wan2.2-Fun-A14B-Control_high_noise_lora/epoch-4.safetensors", alpha=1)
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pipe.load_lora(pipe.dit2, "models/train/Wan2.2-Fun-A14B-Control_low_noise_lora/epoch-4.safetensors", alpha=1)
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video = VideoData("data/example_video_dataset/video1_softedge.mp4", height=480, width=832)
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video = [video[i] for i in range(81)]
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reference_image = VideoData("data/example_video_dataset/video1.mp4", height=480, width=832)[0]
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# Control video
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video = pipe(
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prompt="from sunset to night, a small town, light, house, river",
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negative_prompt="色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走",
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control_video=video, reference_image=reference_image,
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seed=1, tiled=True
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)
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save_video(video, "video_Wan2.2-Fun-A14B-Control.mp4", fps=15, quality=5)
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