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support teacache in wan
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@@ -31,6 +31,8 @@ Put sunglasses on the dog.
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https://github.com/user-attachments/assets/272808d7-fbeb-4747-a6df-14a0860c75fb
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[TeaCache](https://github.com/ali-vilab/TeaCache) is supported in both T2V and I2V models. It can significantly improve the efficiency. See [`./wan_1.3b_text_to_video_accelerate.py`](./wan_1.3b_text_to_video_accelerate.py).
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### Wan-Video-14B-T2V
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Wan-Video-14B-T2V is an enhanced version of Wan-Video-1.3B-T2V, offering greater size and power. To utilize this model, you need additional VRAM. We recommend that users adjust the `torch_dtype` and `num_persistent_param_in_dit` settings to find an optimal balance between speed and VRAM requirements. See [`./wan_14b_text_to_video.py`](./wan_14b_text_to_video.py).
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34
examples/wanvideo/wan_1.3b_text_to_video_accelerate.py
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34
examples/wanvideo/wan_1.3b_text_to_video_accelerate.py
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import torch
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from diffsynth import ModelManager, WanVideoPipeline, save_video, VideoData
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from modelscope import snapshot_download
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# Download models
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snapshot_download("Wan-AI/Wan2.1-T2V-1.3B", local_dir="models/Wan-AI/Wan2.1-T2V-1.3B")
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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/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors",
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"models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth",
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"models/Wan-AI/Wan2.1-T2V-1.3B/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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# Text-to-video
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video = pipe(
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prompt="纪实摄影风格画面,一只活泼的小狗在绿茵茵的草地上迅速奔跑。小狗毛色棕黄,两只耳朵立起,神情专注而欢快。阳光洒在它身上,使得毛发看上去格外柔软而闪亮。背景是一片开阔的草地,偶尔点缀着几朵野花,远处隐约可见蓝天和几片白云。透视感鲜明,捕捉小狗奔跑时的动感和四周草地的生机。中景侧面移动视角。",
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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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seed=0, tiled=True,
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# TeaCache parameters
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tea_cache_l1_thresh=0.05, # The larger this value is, the faster the speed, but the worse the visual quality.
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tea_cache_model_id="Wan2.1-T2V-1.3B", # Choose one in (Wan2.1-T2V-1.3B, Wan2.1-T2V-14B, Wan2.1-I2V-14B-480P, Wan2.1-I2V-14B-720P).
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)
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save_video(video, "video1.mp4", fps=15, quality=5)
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# TeaCache doesn't support video-to-video
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