These are the release notes of the TGATE library.
[TGATE](https://github.com/HaozheLiu-ST/T-GATE/tree/main) accelerates inferences of [`PixArtAlphaPipeline`], [`StableDiffusionPipeline`], and [`StableDiffusionXLPipeline`] by skipping the calculation of cross-attention once it converges. More details can be found at [technical report](https://huggingface.co/papers/2404.02747).
🚀 Major Features
* Training-Free.
* Easily Integrate into [Diffusers](https://github.com/huggingface/diffusers/tree/main).
* Only a few lines of code are required.
* Complementary to [DeepCache](https://github.com/horseee/DeepCache).
* Friendly support [Stable Diffusion pipelines](https://huggingface.co/stabilityai), [PixArt](https://pixart-alpha.github.io/), and [Latent Consistency Models](https://latent-consistency-models.github.io/).
* 10%-50% speed up for different models.
📖 Quick Start
* Start by installing [TGATE](https://github.com/HaozheLiu-ST/T-GATE/tree/release-v.0.1.0): `pip install tgate`
* More examples can be found at [here](https://github.com/HaozheLiu-ST/T-GATE/tree/release-v.0.1.0/main.py).