| | --- |
| | 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 models in the `diffusers` library. |
| |
|
| | Currently, the core models are: |
| |
|
| | * Flux |
| | * Wan |
| | * LTX |
| | * SDXL |
| |
|
| | *Note that we will continue to extend this list based on their usage.* |
| |
|
| | You can analyze the results in [this demo](https://huggingface.co/spaces/diffusers/benchmark-analyzer/). |
| |
|
| | > [!IMPORTANT] |
| | > Instead of benchmarking the entire diffusion pipelines, we only benchmark the forward passes |
| | > of the diffusion networks under different settings (compile, offloading, quantization, etc.). |
| | > We only benchmark the diffusion networks because they are typically the most compute-heavy part |
| | > in a diffusion pipeline. |
| |
|
| | 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. |
| |
|
| | [Here](https://github.com/huggingface/diffusers/actions/runs/16065987231) is an example run. |
