mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-18 22:08:13 +00:00
53 lines
2.8 KiB
Python
53 lines
2.8 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("Wan-AI/Wan2.1-FLF2V-14B-720P", local_dir="models/Wan-AI/Wan2.1-FLF2V-14B-720P")
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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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["models/Wan-AI/Wan2.1-FLF2V-14B-720P/models_clip_open-clip-xlm-roberta-large-vit-huge-14.pth"],
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torch_dtype=torch.float32, # Image Encoder is loaded with float32
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)
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model_manager.load_models(
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[
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[
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00001-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00002-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00003-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00004-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00005-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00006-of-00007.safetensors",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/diffusion_pytorch_model-00007-of-00007.safetensors",
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],
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/models_t5_umt5-xxl-enc-bf16.pth",
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"models/Wan-AI/Wan2.1-FLF2V-14B-720P/Wan2.1_VAE.pth",
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],
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torch_dtype=torch.bfloat16, # You can set `torch_dtype=torch.float8_e4m3fn` to enable FP8 quantization.
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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 image
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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/first_frame.jpeg", "data/examples/wan/last_frame.jpeg"]
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)
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# First and last frame to video
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video = pipe(
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prompt="写实风格，一个女生手持枯萎的花站在花园中，镜头逐渐拉远，记录下花园的全貌。",
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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=30,
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input_image=Image.open("data/examples/wan/first_frame.jpeg").resize((960, 960)),
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end_image=Image.open("data/examples/wan/last_frame.jpeg").resize((960, 960)),
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height=960, width=960,
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seed=1, tiled=True
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)
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save_video(video, "video.mp4", fps=15, quality=5)
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