How to Choose a Stable Diffusion Sampler? A Guide to Understanding Stable Diffusion Samplers

AMD GPU Performance Leap! Significant Stable Diffusion Model Optimization

AMD's advancements in AI are noteworthy, particularly its latest optimizations for the Stable Diffusion model. Recently, Stability AI released an ONNX-optimized version of Stable Diffusion, resulting in significantly improved performance for AMD Radeon GPUs and Ryzen integrated graphics in AI tasks, with speed increases up to 3.8 times faster. This progress narrows the gap with NVIDIA's ecosystem...

LanPaint: Zero-Shot Image Inpainting with Diffusion Models

Recently, developer scraed released LanPaint on GitHub, a zero-shot image inpainting tool. This tool aims to help users achieve high-quality image inpainting results on any Stable Diffusion (SD) model, including custom-trained models. LanPaint achieves this by iteratively prompting the model to 'think' before denoising, resulting in more seamless and accurate inpainting. A key feature of LanPaint is its zero-shot capability; users can start using it immediately without any training.

Stability AI Partners with Arm to Deliver Offline AI Audio Generation

Stable Diffusion 3.5 Large Officially Launched on Amazon Bedrock Platform

Shocking News! Stability AI's SD3.5L Introduces Three New ControlNet Features, Enhancing Image Generation Capabilities

Stability AI Releases New Stable Diffusion 3.5 Generative Model with Three Versions and Enhanced Speed

Free for Commercial Use! Stability AI Launches Lightweight AI Art Tool Stable Diffusion 3.5 Medium Model

Stability AI has once again broken through technical barriers by launching the new Stable Diffusion 3.5 Medium model. This AI art tool aimed at the general public is not only completely free for commercial use but also achieves a perfect balance between high performance and accessibility. With its multimodal diffusion transformer (MMDiT-X) architecture and a streamlined design of 2.5 billion parameters, this model cleverly addresses the hardware threshold for ordinary users, requiring only 9.9GB of VRAM to run smoothly on most consumer-grade graphics cards.

Is ControlNe Outperformed? The Versatile Image Generation Model OmniGen Has Arrived, Achieving Image Generation and Fine Editing with Simple Prompts

Recently, a research team from the Beijing Academy of Artificial Intelligence launched a new image generation model called OmniGen. Unlike previous tools such as Stable Diffusion, which focused on a single task, OmniGen's biggest highlight is its multi-capability: it can handle a variety of image generation tasks within a unified framework, including text-to-image generation and image editing, making it a versatile player. This means that users only need to provide simple prompts.

AI Daily: Claude 3.5 Major Upgrade; Runway Launches Generative Character Performance Tool Act-One; Ideogram Introduces Image Magic Fill Feature; Stable Diffusion 3.5 Released

Welcome to the AI Daily section! Here is your daily guide to exploring the world of artificial intelligence. Every day we present hot topics in the AI field, focusing on developers to help you gain insights into technological trends and understand innovative AI product applications. Check out the latest AI products here: https://top.aibase.com/1. Say goodbye to expensive motion capture! This smart device provides seamless intelligent support, allowing users to enjoy convenience in work and entertainment.

Is SD Going Down? Google's DeepMind Unveils Superior Image Generation Model Fluid

Google's DeepMind, in collaboration with the Massachusetts Institute of Technology (MIT), recently announced a significant research breakthrough. The research team developed a new autoregressive model called 'Fluid', which has made groundbreaking progress in the field of text-to-image generation. After scaling up to 10.5 billion parameters, the model has demonstrated outstanding performance. This research overturns the industry's common perception; while autoregressive models have dominated the language processing domain, they have traditionally been seen as inferior to Stable Diffusion and Goog.