| | --- |
| | license: apache-2.0 |
| | language: |
| | - en |
| | pretty_name: Diffusers Benchmarks |
| | --- |
| | |
| | <div align="center"> |
| | <img src="https://huggingface.co/datasets/diffusers/docs-images/resolve/main/benchmarking/benchmarks_headshot.jpg" width=800/> |
| | </div> |
| |
|
| | Welcome to 🤗 Diffusers Benchmarks! |
| |
|
| | This is dataset where we keep track of the inference latency and memory information of the core pipelines in the `diffusers` library. |
| |
|
| | Currently, the core pipelines are the following: |
| |
|
| | * Stable Diffusion and its derivatives such as ControlNet, T2I Adapter, Image-to-Image, Inpainting |
| | * Stable Diffusion XL and its derivatives |
| | * SSD-1B |
| | * Kandinsky |
| | * Würstchen |
| | * LCM |
| |
|
| | *Note that we will continue to extend the list of core pipelines based on their API usage.* |
| |
|
| | We use [this GitHub Actions workflow](https://github.com/huggingface/diffusers/blob/main/.github/workflows/benchmark.yml) to report the above numbers automatically. This workflow runs on a biweekly cadence. |
| |
|
| | The benchmarks are run on an A10G GPU. |
