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import torch |
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from PIL import Image |
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from diffsynth import save_video, VideoData |
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from diffsynth.pipelines.wan_video_new 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/Wan2.1-I2V-14B-720P", origin_file_pattern="diffusion_pytorch_model*.safetensors", offload_device="cpu"), |
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ModelConfig(model_id="Wan-AI/Wan2.1-I2V-14B-720P", origin_file_pattern="models_t5_umt5-xxl-enc-bf16.pth", offload_device="cpu"), |
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ModelConfig(model_id="Wan-AI/Wan2.1-I2V-14B-720P", origin_file_pattern="Wan2.1_VAE.pth", offload_device="cpu"), |
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ModelConfig(model_id="Wan-AI/Wan2.1-I2V-14B-720P", 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=f"data/examples/wan/input_image.jpg" |
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) |
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image = Image.open("data/examples/wan/input_image.jpg") |
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video = pipe( |
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prompt="一艘小船正勇敢地乘风破浪前行。蔚蓝的大海波涛汹涌，白色的浪花拍打着船身，但小船毫不畏惧，坚定地驶向远方。阳光洒在水面上，闪烁着金色的光芒，为这壮丽的场景增添了一抹温暖。镜头拉近，可以看到船上的旗帜迎风飘扬，象征着不屈的精神与冒险的勇气。这段画面充满力量，激励人心，展现了面对挑战时的无畏与执着。", |
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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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input_image=image, |
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seed=0, tiled=True, |
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height=720, width=1280, |
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) |
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save_video(video, "video.mp4", fps=15, quality=5) |
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