Latest news with #FLUX.1Kontext
Techday NZ
04-07-2025
- Techday NZ
NVIDIA & Black Forest Labs boost AI image editing with FLUX.1
NVIDIA has partnered with Black Forest Labs to optimise the FLUX.1 Kontext image generation model for RTX GPUs using TensorRT. Black Forest Labs has developed the FLUX.1 Kontext model to further simplify the process of guiding and refining AI-generated images. Unlike traditional workflows that combine multiple models and rely on ControlNets for fine-tuning, FLUX.1 Kontext offers a single solution for both generating and editing images through natural language. This approach enables users to start with a reference image and direct edits using simple language prompts, eliminating complex multi-model workflows. The model handles both text and image inputs, allowing users to reference a visual concept and guide its development in a more coherent and intuitive manner. Model capabilities The FLUX.1 Kontext model offers several core features, including character consistency, localised editing, style transfer, and real-time performance. Black Forest Labs describes the key capabilities as follows: Character Consistency: Preserve unique traits across multiple scenes and angles. Localised Editing: Modify specific elements without altering the rest of the image. Style Transfer: Apply the look and feel of a reference image to new scenes. Real-Time Performance: Low-latency generation supports fast iteration and feedback. The goal is to enable coherent, high-quality edits that remain faithful to the original concepts. By providing both natural language and image-based editing options, FLUX.1 Kontext aims to make the refining process more accessible to a broader range of users, without the need for technical expertise or additional models. Performance optimisations NVIDIA collaborated with Black Forest Labs to optimise FLUX.1 Kontext for RTX GPUs using the TensorRT software development kit. This includes quantising the model to reduce VRAM requirements and improve accessibility for users running it locally. According to NVIDIA, these changes deliver more than twice the acceleration compared to running the original BF16 model with PyTorch, allowing for lower latency and faster iteration times in real-time editing workflows. As described by Black Forest Labs, the optimisation was designed to open up access to the benefits of high-fidelity AI image editing to a larger audience: "To further streamline workflows and broaden accessibility, NVIDIA and Black Forest Labs collaborated to quantise the model - reducing the VRAM requirements so more people can run it locally - and optimised it with TensorRT to double its performance. Thanks to TensorRT - a framework to access the Tensor Cores in NVIDIA RTX GPUs for maximum performance - users gain access to over 2x acceleration compared with running the original BF16 model with PyTorch." Availability and developer support FLUX.1 Kontext [dev] is now available for download in both Torch and TensorRT variants on the Hugging Face platform. Users can run the Torch models in ComfyUI, and Black Forest Labs has also made an online playground available for broader experimentation. For developers and advanced users, NVIDIA is preparing sample code to support the integration of TensorRT pipelines, with additional resources expected to be released later this month. The release of FLUX.1 Kontext follows a period of increased interest in adaptable, user-friendly AI image generation solutions. By combining natural language guidance, visual references, and enhanced GPU optimisation, the companies aim to further reduce barriers to AI-powered image editing for both hobbyists and professionals. Follow us on: Share on:
Business Wire
29-05-2025
- Business
- Business Wire
Black Forest Labs Launches FLUX.1 Kontext, a Breakthrough in Context-aware Image Generation and Editing
FREIBURG, Germany--(BUSINESS WIRE)--Black Forest Labs, Europe's fast-rising frontier AI research lab, announced today the release of FLUX.1 Kontext, a new suite of image generation models that introduce powerful in-context generating and editing capabilities. Kontext enables users to generate, retouch, and iteratively refine images from both text and visual inputs, without the need for finetuning or complex editing workflows. "FLUX.1 Kontext represents a fundamental shift from traditional editing approaches by unifying image generation and editing in a single flow matching architecture," said Robin Rombach, CEO and co-founder of Black Forest Labs. FLUX.1 Kontext is designed for creators, developers, and enterprises seeking precision and creative control. The model can understand and extract visual concepts from images, maintain stylistic and character consistency across multiple scenes, and apply localized edits with exceptional fidelity. This enables seamless visual storytelling, fast ideation, and highly targeted content generation, all at inference speeds up to 8x faster than leading alternatives. "FLUX.1 Kontext represents a fundamental shift from traditional editing approaches by unifying image generation and editing in a single flow matching architecture," said Robin Rombach, CEO and co-founder of Black Forest Labs. "Using simple flow matching training, we have achieved state-of-the-art character consistency across multi-turn edits while maintaining interactive inference speeds of 3-5 seconds at 1MP resolution. This enables truly iterative creative workflows that were previously impossible due to visual drift and latency constraints." A Complete Suite for In-Context Generation The FLUX.1 Kontext suite introduces two distinct models: Kontext [Pro] and Kontext [Max], each designed to meet the demands of advanced image generation and editing. Kontext [Pro] is built for iterative editing workflows. It generates images from text or reference images and supports local edits, scene transformations, and multi-step refinements while preserving character and stylistic consistency. Kontext [Max] offers maximum performance, combining exceptional prompt adherence, advanced typography handling, and premium rendering quality with no compromise on speed. Together, these models deliver photorealistic outputs with minimal latency and support a wide range of applications from rapid ideation to high-end creative production. A B2B Playground for Enterprise Evaluation As part of the rollout, Black Forest Labs is introducing the Playground, a browser-based demo environment designed for business users to explore the full capabilities of the FLUX.1 model suite. Tailored for enterprise evaluation, the Playground allows teams to validate internal use cases, demonstrate functionality to stakeholders, and experiment with advanced image generation in real time. Playground enables risk-free exploration and rapid demonstration of value, making it easy to assess the power of FLUX before committing to full integration. Additional components of the Kontext model suite will launch on a rolling basis over the coming weeks, including: Open-weights, distilled variant of Flux.1 Kontext Access of FLUX open-weights models for self-deployment with transparent pricing and instant commercial use rights. Kontext follows the success of FLUX.1 Dev, one of Hugging Face's most popular models with over 30 million downloads. To date, the FLUX.1 family of models have generated 700 million images via API. To learn more, visit About Black Forest Labs Black Forest Labs is a European frontier AI lab advancing the future of generative media. Founded by leading AI researchers, BFL develops state-of-the-art image and video generation systems that are performant, accessible, and responsibly deployed. With deep roots in foundational research, the company continuously builds advanced infrastructure to empower creators, developers, and forward-thinking enterprises to bring their imagination to life.
