| --- |
| license: apache-2.0 |
| language: |
| - en |
| pretty_name: Diffusers Benchmarks |
| --- |
| |
| <div align="center"> |
| <img src="benchmarks_headshot.png" width=800/> |
| </div> |
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| Welcome to 🤗 Diffusers Benchmarks! |
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| This is dataset where we keep track of the inference latency and memory information of the core pipelines in the `diffusers` library. |
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| Currently, the core pipelines are the following: |
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| * 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 |
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| *Note that we will continue to extend the list of core pipelines based on their API usage.* |
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| 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. |
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| The benchmarks are run on an A10G GPU. |
