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https://github.com/modelscope/DiffSynth-Studio.git
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44 lines
2.4 KiB
Python
44 lines
2.4 KiB
Python
import torch
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from PIL import Image
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from diffsynth.utils.data import save_video
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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="Wan-AI/Wan2.2-TI2V-5B", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth"),
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ModelConfig(model_id="Wan-AI/Wan2.2-TI2V-5B", origin_file_pattern="diffusion_pytorch_model*.safetensors"),
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ModelConfig(model_id="Wan-AI/Wan2.2-TI2V-5B", origin_file_pattern="Wan2.2_VAE.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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# Text-to-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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seed=0, tiled=True,
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height=704, width=1248,
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num_frames=121,
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)
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save_video(video, "video_1_Wan2.2-TI2V-5B.mp4", fps=15, quality=5)
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# Image-to-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/cat_fightning.jpg"]
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)
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input_image = Image.open("data/examples/wan/cat_fightning.jpg").resize((1248, 704))
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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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seed=0, tiled=True,
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height=704, width=1248,
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input_image=input_image,
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num_frames=121,
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)
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save_video(video, "video_2_Wan2.2-TI2V-5B.mp4", fps=15, quality=5)
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