Upload folder using huggingface_hub

f13a0f0 verified 10 months ago

1.19 kB

	# TeaCache

	TeaCache ([Timestep Embedding Aware Cache](https://github.com/ali-vilab/TeaCache)) is a training-free caching approach that estimates and leverages the fluctuating differences among model outputs across timesteps, thereby accelerating the inference.

	## Examples

	### FLUX

	Script: [./flux_teacache.py](./flux_teacache.py)

	Model: FLUX.1-dev

	Steps: 50

	GPU: A100

	\|TeaCache is disabled\|tea_cache_l1_thresh=0.2\|tea_cache_l1_thresh=0.8\|
	\|-\|-\|-\|
	\|23s\|13s\|5s\|
	\|![image_None](https://github.com/user-attachments/assets/2bf5187a-9693-44d3-9ebb-6c33cd15443f)\|![image_0 2](https://github.com/user-attachments/assets/5532ba94-c7e2-446e-a9ba-1c68c0f63350)\|![image_0 8](https://github.com/user-attachments/assets/d8cfdd74-8b45-4048-b1b7-ce480aa23fa1)

	### Hunyuan Video

	Script: [./hunyuanvideo_teacache.py](./hunyuanvideo_teacache.py)

	Model: Hunyuan Video

	Steps: 30

	GPU: A100

	The following video was generated using TeaCache. It is nearly identical to [the video without TeaCache enabled](https://github.com/user-attachments/assets/48dd24bb-0cc6-40d2-88c3-10feed3267e9), but with double the speed.

	https://github.com/user-attachments/assets/cd9801c5-88ce-4efc-b055-2c7737166f34