Had the honor to present diffusion transformers at CS25, Stanford. The place is truly magical.

Slides: bit.ly/dit-cs25
Recording: youtu.be/vXtapCFctTI?si…

Thanks to @stevenyfeng for making it happen!

We secretly worked on bringing TorchTPU support to Diffusers with @Jhuaplin 🔥

It needed us to first ship TP support so that large models could fit in TPU chips. Then a bunch of small implementation-level changes.

Check out the post to know more:
huggingface.co/blog/hf-torcht…

Meet Fibo 2.0 from @bria_ai_ 🔥

The #1 *open weights* model in image editing is supported in Diffusers (day-0, of course)!

1. JSON-native control
2. Pretty good text rendering
3. Comes in two variants: Turbo and Dev

Check out the model here:
huggingface.co/docs/diffusers…

We just merged the first protein sequence design model RFD4-Proteina in Diffusers 🔥

I hope this pushes the state of open BioML further.

Kudos to @NVIDIAAI and Baker Lab for shipping this!

Check out the docs to know more:
huggingface.co/docs/diffusers…

@NVIDIAAI Cheers to @DidiKieran for leading the PR integration and bearing with our feedback. It's been a real treat!

Meet Fibo 2.0 from @bria_ai_ 🔥

The #1 *open weights* model in image editing is supported in Diffusers (day-0, of course)!

1. JSON-native control
2. Pretty good text rendering
3. Comes in two variants: Turbo and Dev

Check out the model here:
huggingface.co/docs/diffusers…

Some extended comments.

My main purpose for the trip was my talk on Kernels at the PyTorch Conference.

Reaching the US by a day's delay (which wouldn't anyway allow me to do the talk) only to leave after 4 days would have been too much.

So, I thought it's better I stay home and support the upcoming releases. Might as well enjoy the rest of the Durga Puja while it lasts.

Thanks to @qatarairways my US trip now stands canceled.

Somehow the Kolkata flight got delayed and that led them to choose an option for me which would land in SF at 1:15 PM 21st Oct (delayed by a day).

So, it forced me to ultimately cancel it.

Absolutely gutted for this. But maybe this is what Maa Durga wanted as I was leaving her amidst the festivities.

So many models launching this week!
And we have one of our own coming...⌛️

It's time. It's fucking time!

Flux.3 Image Klein is out and we bring you full support for it in Diffusers.

Catch all the details in our post:
huggingface.co/blog/flux-3

It's time. It's fucking time!

Flux.3 Image Klein is out and we bring you full support for it in Diffusers.

Catch all the details in our post:
huggingface.co/blog/flux-3

Both the distilled and non-distilled pipelines are implemented as modular diffusers pipelines for maximum flexibility!

We have also worked hard to support loading the quantized checkpoints (FP8r and NVFP4) and performing inference with them.

We have even given them a backend of their own!

A release is incomplete without a LoRA training script.

We're providing Diffusers-native LoRA training scripts for both T2I and I2I. Thanks to @linoy_tsaban for tackling this!

We also support loading LoRAs trained with @ostrisai's ai-toolkit!

Enjoy :)

I am giving a talk next week at the PyTorch Conference on the 21st. It's about the 🤗 Kernels project. If you're attending, please come and say hi :)

Leaving home in the middle of Durga Puja isn't fun, but I will be in SF next week. Happy to meet up 🤗

I was finally able to push the kernels cookbook out!

What we cover here:
> using HF kernels from the Hub
> hardcoding triton kernels vs not
> benchmarking models with and without kernels

As always, I am more than open to feedback! ❤️

So many releases next week. Bye, work to do. Wake me up when October'26 ends 😴

Was meant to be a Valentine's gift, but I'm releasing it early ❤️

Wrote a long piece on KV caching in flow models for image generation.

Includes intuition, commentary, implementation details, benchmarks, & some quirky experiments.

sayak.dev/posts/kv-flow.…