Stable Diffusion
Also known as: SDXL
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- Oct 8, 2026 · Research paper · 1 sourceEarly Signatures of Memorization in Diffusion Models via Basin Geometry and Cyclic DenoisingWe show that memorization is encoded in the geometry of the learned energy landscape before it appears in generated samples, a state we call latent memorization.
- Oct 6, 2026 · Research paper · 1 sourceLiDAR Resolution Recovery via Foundation-Model-Guided DiffusionUsing a pretrained Stable Diffusion model as the backbone, we fine-tune a LiDAR-conditioned depth model with pseudo-depth targets from a 2D foundation model.
- Oct 6, 2026 · Research paper · 1 sourceTwo Halves are More than One: Phase-wise Velocity Distillation for Fast and High-Quality Image GenerationRecent diffusion-based image generation backbones have grown substantially in scale, making the network inference cost increase rapidly.
- Oct 6, 2026 · Research paper · 1 sourcePhysTacGen: Physics-Aware Visual-Tactile Sensor Image GenerationTo address these challenges, we present PhysTacGen, a visual-to-optical-tactile image generation framework that integrates material-aware descriptions with geometric conditioning.
- Sep 30, 2026 · Research paper · 1 sourceReGain: Restoring Subject Fidelity in Personalization on Synthetic ImagesText-to-image diffusion models are personalized to a subject by DreamBooth fine-tuning on a handful of its images.
- Sep 29, 2026 · Research paper · 1 sourceHow Diffusion Controller unifies and simplifies AI image generationWe introduce Diffusion Controller, a lightweight "steering damper" network that precisely steers image generation to achieve significantly better prompt alignment.
- May 5, 2026 · Open-source release · 1 sourcesgl-project/sglang v0.5.11Speculative Decoding V2 by default: Spec V2 (with overlap scheduling to hide CPU overhead) is now the default, materially reducing per-step CPU cost for EAGLE/MTP/DFLASH paths: #21062
- Sep 4, 2024 · Open-source release · 1 sourcepytorch/pytorch v2.4.1: PyTorch 2.4.1 Release, bug fix releaseThis release is meant to fix the following issues (regressions / silent correctness):