support teacache in wan

This commit is contained in:
Artiprocher
2025-03-14 17:45:52 +08:00
parent ca40074d72
commit e425753f79
3 changed files with 147 additions and 3 deletions

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@@ -31,6 +31,8 @@ Put sunglasses on the dog.
https://github.com/user-attachments/assets/272808d7-fbeb-4747-a6df-14a0860c75fb
[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).
### Wan-Video-14B-T2V
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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@@ -0,0 +1,34 @@
import torch
from diffsynth import ModelManager, WanVideoPipeline, save_video, VideoData
from modelscope import snapshot_download
# Download models
snapshot_download("Wan-AI/Wan2.1-T2V-1.3B", local_dir="models/Wan-AI/Wan2.1-T2V-1.3B")
# Load models
model_manager = ModelManager(device="cpu")
model_manager.load_models(
[
"models/Wan-AI/Wan2.1-T2V-1.3B/diffusion_pytorch_model.safetensors",
"models/Wan-AI/Wan2.1-T2V-1.3B/models_t5_umt5-xxl-enc-bf16.pth",
"models/Wan-AI/Wan2.1-T2V-1.3B/Wan2.1_VAE.pth",
],
torch_dtype=torch.bfloat16, # You can set `torch_dtype=torch.float8_e4m3fn` to enable FP8 quantization.
)
pipe = WanVideoPipeline.from_model_manager(model_manager, torch_dtype=torch.bfloat16, device="cuda")
pipe.enable_vram_management(num_persistent_param_in_dit=None)
# Text-to-video
video = pipe(
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。",
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",
num_inference_steps=50,
seed=0, tiled=True,
# TeaCache parameters
tea_cache_l1_thresh=0.05, # The larger this value is, the faster the speed, but the worse the visual quality.
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).
)
save_video(video, "video1.mp4", fps=15, quality=5)
# TeaCache doesn't support video-to-video