Accelerating Stable Diffusion Inference on Intel CPUs

Fine-tuning Stable Diffusion models on Intel CPUs

Optimizing Stable Diffusion for Intel CPUs with NNCF and 🤗 Optimum

Faster Stable Diffusion with Core ML on iPhone, iPad, and Mac

Stable Diffusion XL on Mac with Advanced Core ML Quantization

Swift 🧨Diffusers - Fast Stable Diffusion for Mac

🧨 Accelerating Stable Diffusion XL Inference with JAX on Cloud TPU v5e

Using Stable Diffusion with Core ML on Apple Silicon

FeatFix: Reuse What You Verify through Local Exact-Feature Correction for Faster Cached Diffusion Inference

arXiv:2607. 27842v1 Announce Type: cross Abstract: Diffusion models are widely used to generate high-quality images and videos, but their iterative denoising process remains computationally intensive.

Deltoris: Enabling Real-time VLA Inference in Embodied AI via Bit-level Sparsity and Speculative Inference

arXiv:2608. 04428v1 Announce Type: cross Abstract: Vision-language-action (VLA) models have emerged as a key component in embodied AI.

Accelerating Masked Diffusion Large Language Models: A Survey of Efficient Inference Techniques

arXiv:2607. 12829v1 Announce Type: cross Abstract: Diffusion large language models (dLLMs) offer a theoretical advantage in parallel generation over standard autoregressive models.

Paris: A Decentralized Trained Open-Weight Diffusion Model

arXiv:2510. 03434v3 Announce Type: replace-cross Abstract: We present Paris, the first publicly released diffusion model pre-trained entirely through decentralized computation.

Efficient On-Device Diffusion LLM Inference with Mobile NPU

arXiv:2606. 13740v1 Announce Type: new Abstract: Diffusion large language models (dLLMs) accelerate generation by denoising multiple tokens in parallel, making them attractive for latency-sensitive mobile inference.