Apply suggestions from code review

This commit is contained in:
peterjunpark
2025-11-18 12:14:09 -05:00
committed by GitHub
parent 4bfe13edef
commit 1c253505b6

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@@ -15,7 +15,7 @@ xDiT diffusion inference
{% set model_groups = data.xdit_diffusion_inference.model_groups%}
The `rocm/pytorch-xdit <{{ docker.docker_hub_url }}>`_ Docker image offers a prebuilt, optimized environment based on `xDiT <https://github.com/xdit-project/xDiT>`_ for
benchmarking diffusion model video and image generation on gfx942 and gfx950 series (AMD Instinct™ MI300X, MI308X, MI325X and MI350X, MI355X) GPUs.
benchmarking diffusion model video and image generation on gfx942 and gfx950 series (AMD Instinct™ MI300X, MI325X, MI350X, and MI355X) GPUs.
The image runs ROCm **{{docker.ROCm}}** (preview) based on `TheRock <https://github.com/ROCm/TheRock>`_
and includes the following components:
@@ -41,7 +41,7 @@ What's new
==========
- First official xDiT Docker Release for Diffusion Inference.
- Supports gfx942 and gfx950 series (AMD Instinct™ MI300X, MI308X, MI325X and MI350X, MI355X).
- Supports gfx942 and gfx950 series (AMD Instinct™ MI300X, MI325X, MI350X, and MI355X).
- Support Wan 2.1, Wan 2.2, HunyuanVideo and Flux workloads.
.. _xdit-video-diffusion-supported-models: