---
title: "Diffusers"
description: "1 posts about Diffusers, summarised, each linking to the original."
---

# Diffusers
> 1 posts about Diffusers, summarised, each linking to the original.

## Articles

### [Hugging Face ❤️ TorchTPU: TPUs, Natively](https://yomu.fyi/post/hugging-face-heart-torchtpu-tpus-natively.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Alvaro Moran, Jingya Huang, Simon Pagezy, Jeff Boudier, Régis Pierrard
- Published: Oct 20, 2026
- Type: Announcement

TorchTPU adds a native PyTorch backend for Google TPUs, eliminating the need for torch\_xla or JAX. Installing it on a TPU VM requires a single pip command with a CPU-only torch index. Users can load any Hugging Face model onto a TPU with device\_map=“tpu” and run it in eager mode without code changes. Diffusers pipelines also support TPU natively, requiring only pipe.to(“tpu”) for eager execution or an optional compile call for deployment. The Kernels Hub provides ready-to-use TPU kernels written in Pallas, which can accelerate MoE models by over 20× at large batch sizes, as demonstrated with Qwen3-30B-A3B. The Hugging Face team is continuously testing TPU support, with 96.5% of tests passing and upstream fixes for discovered issues, including bugs in StaticCache and Qwen3 tensor-parallel plans.