Latest news with #FLUX.1-dev
Business Mayor
13-05-2025
- Science
- Business Mayor
ecoLogicStudio unveils AI system for environmentally responsive urbanism at venice biennale
At the 2025 Venice Architecture Biennale, ecoLogicStudio presents FundamentAI, a collaborative installation developed with the Synthetic Landscape Lab at Innsbruck University and the Urban Morphogenesis Lab at the Bartlett, UCL. The project explores the intersection of architecture, biotechnology, and artificial intelligence through the lens of Venice's unique lagoon ecosystem. Installed at the Arsenale, FundamentAI proposes a new model for urban design that includes real-time ecological data as a driver for architectural formation. The installation integrates environmental signals, particularly from lagoon microorganisms, with generative design processes enabled by multimodal AI systems. Its design references Venice's traditional wooden 'bricole' foundation poles, reinterpreted as bio-fabricated, biodegradable 3D printed columns embedded with responsive technology. The project employs a participatory design interface, allowing visitors to contribute images and texts that are interpreted by AI models to generate urban forms. This system incorporates several AI technologies: DeepSeek-R1 and GPT-4o for image and text analysis; FLUX.1-dev on ComfyUI for image generation; TRELLIS for 3D modeling; and Kling AI for animation output. These tools collectively produce adaptive, AI-mediated architectural responses that are informed by both user input and environmental data, such as acidity levels and microbial activity in the lagoon. FundamentAI installation at the 2025 Venice Architecture Biennale | all images courtesy of ecoLogicStudio and the Synthetic Landscape Lab Microbial Signals and AI Shape Immersive 3D printed installation Architecturally, the installation includes a full-scale immersive environment featuring 3D printed columns made from biodegradable material. These elements are designed using origination points from microbial and climatic signals in the Venetian lagoon. They respond to changing environmental conditions with subtle lighting effects powered by an AI video system, visually encoding data streams such as light, acidity, and microbial growth into atmospheric shifts within the space. Read More Gaia recycled upholstery fabric collection by Skopos FundamentAI, a collaborative initiative by architecture innovation firm ecoLogicStudio, Synthetic Landscape Lab at Innsbruck University, and the Urban Morphogenesis Lab at the Bartlett, UCL, aims to reframe foundational urban elements as symbiotic and ecologically attuned rather than static or anthropocentric. The installation treats the lagoon not only as a geographic context but also as an active participant in the design process. Ecological data is captured, processed, and translated into form, giving the lagoon agency within the architectural narrative. FundamentAI also introduces the 'Capsule Urbanism' concept, an approach to urban design that incorporates compact, modular, and ecologically responsive elements. The installation uses capsule-scale fabrication as a testbed for ideas that could scale to broader urban contexts, particularly in coastal areas facing environmental precarity. the installation explores architecture shaped by AI and microbial signals from the Venetian lagoon Expanding Public Participation in Design Through AI-Driven Tools One of the central ambitions of the project is to demonstrate how AI tools can expand public participation in urban planning. By scanning a QR code, visitors are invited to upload photographs of their surroundings in Venice. The system processes these visual inputs to generate speculative urban models that are visually and structurally informed by both user data and real-time environmental feedback from the lagoon. While rooted in Venice's history and material culture, FundamentAI is conceived as a globally relevant framework, particularly for cities in the Global South facing rapid urbanization and ecological vulnerability. The adaptive design method allows for responsive, data-integrated planning that accommodates non-human actors and environmental variability, potentially offering new strategies for climate-resilient development. Beyond its exhibition at the Venice Biennale, the project forms part of a broader research trajectory by ecoLogicStudio and its partners. Related upcoming projects include DeepForestCube, to be presented at the Triennale International Exhibition 2025, and with the BioLab, scheduled for launch at the Bundeskunsthalle in Bonn in June 2025. 3D printed biodegradable columns reinterpret Venice's traditional bricole foundations generative AI processes respond to real-time environmental data like acidity and light interaction between the bio-fabricated columns and the video projection close-up view of 3D printed sculptures in biopolymers subtle lighting shifts reflect microbial activity and lagoon chemistry in real time
Techday NZ
07-05-2025
- Business
- Techday NZ
NVIDIA launches AI Blueprint for 3D image creation in Blender
NVIDIA has introduced a new AI Blueprint that enables users to generate images guided by 3D scenes using Blender. This tool combines basic 3D scene design with depth mapping to help control image composition more precisely during AI generation. At the core of the process is FLUX.1-dev, an AI model developed by Black Forest Labs, which interprets the scene's spatial layout alongside text prompts to produce visuals that match the intended design. Depth maps play a crucial role by providing the spatial context needed for the model to understand scene structure. This technique simplifies the process by removing the need for detailed textures or complex objects, instead relying on general spatial information. With the scenes rendered in 3D, users have the flexibility to move elements and adjust camera angles to suit their creative goals. The Blueprint includes an NVIDIA NIM microservice that helps deploy the FLUX.1-dev model efficiently on RTX GPUs, using TensorRT for faster inference. It's packaged with an installer and comprehensive deployment instructions, making it accessible for AI artists looking to integrate generative tools into their workflow. Beyond entry-level users, the Blueprint is also designed to accommodate advanced developers. It offers a customisable pipeline that can be modified for more sophisticated needs. NVIDIA provides supporting materials like sample assets, detailed documentation, and a preconfigured environment to help streamline experimentation and creation. Optimised for NVIDIA RTX AI PCs and workstations, the solution benefits from the company's Blackwell architecture. The FLUX.1-dev model has been fine-tuned using TensorRT and quantised to FP4 precision, resulting in more than double the inference speed compared to traditional FP16 PyTorch implementations. There are also FP8 model versions tailored for GPUs based on the Ada Lovelace architecture, further expanding compatibility and performance. Quantising to FP4 significantly reduces the model size, lowering memory requirements while maintaining high performance, cutting VRAM needs by more than half compared to FP16. Currently, NVIDIA offers ten NIM microservices across areas like image generation, natural language processing, speech AI, and computer vision. The company plans to continue building out its portfolio with more AI blueprints and services designed to accelerate creative and technical workflows.
