v1.0.0

📄 Updates

• TGATE is extended to self-attention modules for greater acceleration!
• TGATE now supports the PixArt-Sigma and StableVideoDiffusion models.

0.1.2

Bug Fixes:

• fix issue #10 by considering the number of warm-up steps num_warmup_steps in the TgateLoader's.

v0.1.1: Support the`Playground-v2.5-1024` model in the SDXL pipeline.

All Commits

• [pipeline_stable_diffusion_xl] fix issue #6 by adding a conditional check for denormalizing the latents.

Initial release of 🧨 TGATE

These are the release notes of the TGATE library.

TGATE 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.

🚀 Major Features

• Training-Free.
• Easily Integrate into Diffusers.
• Only a few lines of code are required.
• Complementary to DeepCache.
• Friendly support Stable Diffusion pipelines, PixArt, and Latent Consistency Models.
• 10%-50% speed up for different models.

📖 Quick Start

• Start by installing TGATE: pip install tgate
• More examples can be found at here.