Diffusion coverage.

Multi-Conditioned Diffusion Synthesis of Sand Boils for Low-Resource Earthen-Levee Inspection

Sand boils on earthen levees are safety-critical defects, but pixel-level detection is limited by scarce annotations. We present a diffusion-based synthesis pipeline for low-resour…

Accelerating Skill Assessment in Chess: A Drift-Diffusion-Enhanced Elo Rating System

arXiv:2606.26267v1 Announce Type: new Abstract: Rating systems such as Elo serve as the gold standard for matchmaking in competitive chess. However, they inherently suffer from res…

Google's latest DiffusionGemma open AI model comes with a 4x speed boost

Diffusion AI is most common in image generation, but it can make text outputs much faster.…

Show HN: Meadow Mind – a 7B diffusion LLM plays Gym games with zero training

Zero training, second-level reactions (~400ms). A language-rule decision mind on a local 7B diffusion LM. - Hey-Meadow/meadow-mind…

Continuous Diffusion Models Can Obey Formal Syntax

Diffusion language models offer a promising alternative to autoregressive models due to their global, non-causal generation process, but their continuous latent dynamics make discr…

Best Stable Diffusion / AI workflow for restoring a recovered low quality video?

PrismML just released Binary and Ternary Bonsai Image 4B: 1-bit/ternary text-to-image diffusion transformers that can even run 100% locally in your browser on WebGPU.

Stable diffusion Neo Forge Controlnet

Testing ZIT and Flux-1 with "NVIDIA PiD — Pixel Diffusion Decoder"

ScreenDiffusion V0.2 Released - Major Refactoring of V0.1 - Easy Install - Open Source.

ComfyUI node for NVIDIA PiD pixel diffusion decoding

What's the most frustrating part of using ComfyUI, Stable Diffusion, or Flux today?

PID: Fast and High-Resolution Latent Decoding with Pixel Diffusion

PiD: Fast and High-Resolution Latent Decoding with Pixel Diffusion…

Show HN: PhoneDiffusion – Local AI image generation for iOS

Download PhoneDiffusion by akroin on the App Store. See screenshots, ratings and reviews, user tips, and more apps like PhoneDiffusion.…

Nvidia solved VAE? Fast and High-Resolution Latent Decoding with Pixel Diffusion

A plug-and-play pixel diffusion decoder that replaces VAE/RAE decoders

Global AI Diffusion: Q1 2026 Trends and Insights [pdf]

Diffusion Language Models Are Here: Deep Dive into NVIDIA's Nemotron-Labs DLM Architecture

Meta Description: NVIDIA just open-sourced Nemotron-Labs Diffusion — a family of 3B, 8B, and 14B...…

For users have have both 6000 PRO MaxQ and Workstation Edition (or Server Edition), how much slower is the MaxQ vs the WS/SV on compute? (Prompt processing, Diffusion, etc)

I Built a local Stable Diffusion GUI specifically for older GPUs (GTX 1060). Features Zero-Copy ADetailer, URL Model Downloader, and real-time VRAM monitoring.

GitHub - ForgeFlash: A clean, minimal frontend for Stable Diffusion WebUI Forge — inspired by Fooocus's streamlined workflow but with direct access to the controls that actually matter.

SEGA: Spectral-Energy Guided Attention for Resolution Extrapolation in Diffusion Transformers

Diffusion Language Models: How NVIDIA Nemotron-Labs Diffusion Shatters the Autoregressive Speed Ceiling

Meta Description: Diffusion language models (DLMs) are rewriting LLM inference. Dive deep into...…

Towards Speed-of-Light Text Generation with Nemotron-Labs Diffusion Language Models

A Blog post by NVIDIA on Hugging Face…

FlowLM: Few-Step Language Modeling via Diffusion-to-Flow Adaptation

We present FlowLM, a flow matching language model transformed from pre-trained diffusion language models via efficient fine-tuning. By re-aligning the curved sampling trajectories …

Provably Learning Diffusion Models under the Manifold Hypothesis: Collapse and Refine

Diffusion models generate high-dimensional data with remarkable quality, yet how their training efficiently learns the score function, bypassing the curse of dimensionality when da…

Generation of Heterogeneous PET Images from Uniform Organ Activity Maps Using a Pretrained Domain-Adapted Diffusion Model

Synthetic PET images are valuable for quantitative imaging workflow development, scalable virtual imaging trials, and deep learning model training, but conventional physics-based s…

PolycubeNet: A Dual-latent Diffusion Model for Polycube-Based Hexahedral Mesh Generation

Hexahedral meshes are widely used in simulation pipelines, yet automatic generation remains challenging for complex CAD geometries. Polycube-based hexahedral meshing is a represent…

EPC-3D-Diff: Equivariant Physics Consistent Conditional 3D Latent Diffusion for CBCT to CT Synthesis

Cone-beam CT (CBCT) is routinely acquired during radiotherapy for patient setup, but its quantitative reliability is degraded by scatter, noise, and reconstruction artifacts, limit…

Tippett-minimum Fusion of Representation-space Diffusion Models for Multi-Encoder Out-of-Distribution Detection

We address out-of-distribution (OOD) detection across the full spectrum of distribution shifts -- global domain changes, semantic divergence, texture differences, and covariate cor…

Lower Bounds for Advection-Diffusion Equations: An Exploration with AI-Generated Proofs

We establish explicit lower bounds for advection-diffusion equations in three settings: a polynomial $\dot H^{-1}$ bound for inviscid shears with $u\in L^\infty_t W^{1,1}_y$, a uni…

Accelerating Video Inverse Problem Solvers with Autoregressive Diffusion Models

Diffusion models provide powerful priors for zero-shot video inverse problems, but their real-time deployment is hindered by two inefficiencies: high initial latency caused by holi…

Rethinking Cross-Layer Information Routing in Diffusion Transformers

Diffusion Transformers (DiTs) have become a de facto backbone of modern visual generation, and nearly every major axis of their design -- tokenization, attention, conditioning, obj…

Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees

Graph-based Retrieval-Augmented Generation (RAG) systems leverage interconnected knowledge structures to capture complex relationships that flat retrieval struggles with, enabling …

Composition of Memory Experts for Diffusion World Models

World models aim to predict plausible futures consistent with past observations, a capability central to planning and decision-making in reinforcement learning. Yet, existing archi…

Getting started with stable diffusion

Why your diffusion model is slow at batch size 1 (and what actually helps)

TL;DR: Single-image diffusion inference is bottlenecked by kernel launch overhead and attention...…

Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models

Diffusion Multi-Modal Large Language Models (dMLLMs) are powerful for image generation, but optimizing them through reinforcement learning (RL) remains a major challenge. One prima…

AnchorDiff: Topology-Aware Masked Diffusion with Confidence-based Rewriting for Radiology Report Generation

Radiology report generation (RRG) aims to automatically produce clinically accurate textual reports from medical images. Existing methods predominantly rely on autoregressive (AR) …

Reading the Cell, Designing the Cure: Perturbation-Conditioned Molecular Diffusion for Function-Oriented Drug Design

When reliable target structures are unavailable at scale or phenotypes arise from dysregulated pathways, transcriptomic perturbations provide a system-level functional readout for …

DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments

Visual active search (VAS) has been introduced as a modeling framework that leverages visual cues to direct aerial (e.g., UAV-based) exploration and pinpoint areas of interest with…

Feedback World Model Enables Precise Guidance of Diffusion Policy

World models aim to improve robotic decision making by predicting the consequences of actions. However, in practice, their predictions often become unreliable once the robot encoun…

RaPD: Resolution-Agnostic Pixel Diffusion via Semantics-Enriched Implicit Representations

Natural images are continuous, yet most generative models synthesize them on discrete grids, limiting resolution-flexible generation. Continuous neural fields enable resolution-fre…

Stable Diffusion Forge suddenly unusable after a few months. Constant errors on RTX 3080

I ditched Adobe's $55 monthly fee for three free tools that actually work faster

Stop paying for worse features.…