Fast LoRA inference for Flux with Diffusers and PEFT

Bringing Nunchaku 4-bit Diffusion Inference to Diffusers

Diffusers welcomes FLUX-2

Using LoRA for Efficient Stable Diffusion Fine-Tuning

Exploring Quantization Backends in Diffusers

(LoRA) Fine-Tuning FLUX.1-dev on Consumer Hardware

State of open video generation models in Diffusers

Goodbye cold boot - how we made LoRA Inference 300% faster

Neural Operator Surrogates for Two-Dimensional Neutron Flux Estimation

arXiv:2607. 19388v1 Announce Type: new Abstract: This work extends our one-dimensional single-sweep neural-operator studies to two dimensions.

Stable Diffusion with 🧨 Diffusers

Train your ControlNet with diffusers

Perron--Frobenius Operator Matching for Generative Modeling

arXiv:2606. 17465v1 Announce Type: new Abstract: We introduce Perron--Frobenius Operator Matching (PFOM), a generative framework that matches density evolution via the integral PF operator, subsuming flow, diffusion, and jump models.

Accelerated Inference with Optimum and Transformers Pipelines