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license: apache-2.0 |
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language: |
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- en |
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pretty_name: Diffusers Benchmarks |
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--- |
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<div align="center"> |
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<img src="https://huggingface.co/datasets/diffusers/docs-images/resolve/main/benchmarking/benchmarks_headshot.jpg" width=800/> |
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</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 |
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* Stable Diffusion XL and its derivatives |
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* SSD-1B |
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* Kandinsky |
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* Würstchen |
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* 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. |
