AI Image Generation News - DALL-E, Midjourney & Flux Updates
AI image generation news. DALL-E, Midjourney, Stable Diffusion, Flux updates. Visual AI model releases and capabilities.
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Diffusion-based AI model successfully trained in electroplating
Electrochemical deposition, or electroplating, is a common industrial technique that coats materials to improve corrosion resistance and protection, durability and hardness, conductivity and more. A Los Alamos National Laboratory team has developed generative diffusion-based AI models for electrochemistry, an innovative electrochemistry approach demonstrated with experimental data.
AI turns simple text into realistic building designs
When working on projects, architects must quickly turn rough concepts into visual representations. Text-to-image models offer an opportunity in this field, where high-quality designs can be generated simply by typing a description. Some of these systems can also incorporate rough sketches or depth information, offering additional control over the results.
Reimagine marketing at Volkswagen Group with generative AI
In this post, we explore the challenges that Volkswagen Group faced in producing brand-compliant marketing assets at scale. We walk through how we built a generative AI solution that generates photorealistic vehicle images, validates technical accuracy at the component level, and helps enforce brand guideline compliance alignment across the ten brands.
Kwaipilot: KAT-Coder-Pro V2 (kwaipilot/kat-coder-pro-v2)
KAT-Coder-Pro V2 is the latest high-performance model in KwaiKAT’s KAT-Coder series, designed for complex enterprise-grade software engineering and SaaS integration. It builds on the agentic coding strengths of earlier versions, with a focus on large-scale production environments, multi-system coordination, and seamless integration across modern software stacks, while also supporting web aesthetics generation to produce production-grade landing pages and presentation decks.
Nvidia's new AI tool is giving female game characters a makeover—and gamers are pushing back
Last week leading chipmaker Nvidia announced DLSS-5 (Deep Learning Super Sampling), a new artificial intelligence (AI) rendering tool it describes as a breakthrough in visual fidelity for games. The software takes low-resolution images and uses AI to upscale them, adding what Nvidia calls photoreal lighting and materials.
AI model excels in single image reflection removal
Capturing a picturesque scene through reflective materials, such as glass, often results in an unintended superimposition—showing both the transmitted scene and the undesired reflected scene. While traditional reflection removal techniques have made progress, they frequently struggle with complex reflection patterns and varying lighting conditions, leaving residual artifacts that diminish image quality.
Accelerating LLM fine-tuning with unstructured data using SageMaker Unified Studio and S3
Last year, AWS announced an integration between Amazon SageMaker Unified Studio and Amazon S3 general purpose buckets. This integration makes it straightforward for teams to use unstructured data stored in Amazon Simple Storage Service (Amazon S3) for machine learning (ML) and data analytics use cases. In this post, we show how to integrate S3 general purpose buckets with Amazon SageMaker Catalog to fine-tune Llama 3.2 11B Vision Instruct for visual question answering (VQA) using Amazon SageMaker Unified Studio.
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