mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-21 08:08:13 +00:00
64 lines
3.4 KiB
Python
64 lines
3.4 KiB
Python
import torch
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from diffsynth import ModelManager, WanVideoPipeline, save_video, VideoData
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from modelscope import snapshot_download, dataset_snapshot_download
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from PIL import Image
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# Download models
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snapshot_download("iic/VACE-Wan2.1-1.3B-Preview", local_dir="models/iic/VACE-Wan2.1-1.3B-Preview")
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# Load models
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model_manager = ModelManager(device="cpu")
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model_manager.load_models(
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[
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"models/iic/VACE-Wan2.1-1.3B-Preview/diffusion_pytorch_model.safetensors",
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"models/iic/VACE-Wan2.1-1.3B-Preview/models_t5_umt5-xxl-enc-bf16.pth",
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"models/iic/VACE-Wan2.1-1.3B-Preview/Wan2.1_VAE.pth",
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],
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torch_dtype=torch.bfloat16,
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)
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pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda")
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pipe.enable_vram_management(num_persistent_param_in_dit=None)
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# Download example video
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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/depth_video.mp4", "data/examples/wan/cat_fightning.jpg"]
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)
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# Depth video -> Video
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control_video = VideoData("data/examples/wan/depth_video.mp4", height=480, width=832)
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video = pipe(
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prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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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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num_inference_steps=50,
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height=480, width=832, num_frames=81,
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vace_video=control_video,
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seed=1, tiled=True
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)
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save_video(video, "video1.mp4", fps=15, quality=5)
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# Reference image -> Video
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video = pipe(
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prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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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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num_inference_steps=50,
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height=480, width=832, num_frames=81,
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vace_reference_image=Image.open("data/examples/wan/cat_fightning.jpg").resize((832, 480)),
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seed=1, tiled=True
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)
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save_video(video, "video2.mp4", fps=15, quality=5)
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# Depth video + Reference image -> Video
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video = pipe(
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prompt="两只可爱的橘猫戴上拳击手套，站在一个拳击台上搏斗。",
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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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num_inference_steps=50,
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height=480, width=832, num_frames=81,
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vace_video=control_video,
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vace_reference_image=Image.open("data/examples/wan/cat_fightning.jpg").resize((832, 480)),
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seed=1, tiled=True
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)
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save_video(video, "video3.mp4", fps=15, quality=5)
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