FLUX.1 Kontext, the recently released model from Black Forest Labs, is a fascinating addition to the repertoire of community image generation models. The open weights FLUX.1 Kontext [dev] variant, the focus of this post, is a model meticulously optimized for image-to-image transformation tasks. This pioneering tool stands out for its incremental image editing capabilities…
]]>The launch of the NVIDIA Blackwell platform ushered in a new era of improvements in generative AI technology. At its forefront is the newly launched GeForce RTX 50 series GPUs for PCs and workstations that boast fifth-generation Tensor Cores with 4-bit floating point compute (FP4)—a must-have for accelerating advanced generative AI models like FLUX from Black Forest Labs. As the latest image…
]]>NVIDIA announced world-record DeepSeek-R1 inference performance at NVIDIA GTC 2025. A single NVIDIA DGX system with eight NVIDIA Blackwell GPUs can achieve over 250 tokens per second per user or a maximum throughput of over 30,000 tokens per second on the massive, state-of-the-art 671 billion parameter DeepSeek-R1 model. These rapid advancements in performance at both ends of the performance…
]]>NVIDIA has announced the latest v0.15 release of NVIDIA TensorRT Model Optimizer, a state-of-the-art quantization toolkit of model optimization techniques including quantization, sparsity, and pruning. These techniques reduce model complexity and enable downstream inference frameworks like NVIDIA TensorRT-LLM and NVIDIA TensorRT to more efficiently optimize the inference speed of generative AI…
]]>In the dynamic realm of generative AI, diffusion models stand out as the most powerful architecture for generating high-quality images with text prompts. Models like Stable Diffusion have revolutionized creative applications. However, the inference process of diffusion models can be computationally intensive due to the iterative denoising steps required. This presents significant challenges…
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