Sayak Paul
where else to find them
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what they talk about
all 5 in the filters
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- Benjamin Bossanonce
who talks about the same things
- Thomas Viehmann3 talks
- Merve Noyan11 talks
- Luca Antiga5 talks
- Lysandre Debut3 talks
- Chris Fregly23 talks
- Vladimir Osin4 talks
| title | conference | date |
|---|---|---|
| torch.compile and Diffusers: A Hands-On Guide to Peak Performance | PyTorch Conference Europe 2026 | 2026-04-07 |
Shows how to use torch.compile with Diffusers to speed up diffusion models like Flux‑1‑Dev, including concrete configs: compile the Diffusion Transformer for… | ||
| Designing tests for ML libraries | PyData Amsterdam 2025 | 2025-09-24 |
Shows concrete testing practices from HuggingFace: how diffusers and PFT run a stratified test schedule (fast per-PR, slow on main, nightly GPU runs)… | ||
| State of Open Video Generation Models | AI_dev Europe 2025 | 2025-08-28 |
Open video models already produce near-closed-model quality: the open 1.2.2/12.2 family rivals Sora on visual fidelity and instruction adherence. Popular… | ||
| Democratizing Diffusion Models with Diffusers | Open Source Summit Japan + AI_dev 2024 | 2024-10-28 |
An open-source Python library (Apache 2) that runs state‑of‑the‑art image and video diffusion models (Mochi1, Stable Diffusion 3/3.5, Flux) with four‑line… | ||
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