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Versatile Styles: Capable of generating a wide range of styles and aesthetics like 3D, photography, painting, line art, and virtually any visual style imaginable.
Diverse Outputs: Creates images representative of the world, not just one type of person, with different skin tones and features, without the need for extensive prompting.
Prompt Adherence: Our analysis shows that SD3.5 Large leads the market in prompt adherence, allowing the model to closely follow a given text prompt, making it a top choice for efficient, high-quality performance.
TensorRT optimization reduces model size while maintaining quality by streamlining how models run on NVIDIA hardware. Model size reduction is achieved through FP8 quantization, a technique that makes models more efficient while maintaining high output quality. These improvements mean that five RTX 50 Series systems can now run SD3.5 Large from memory, compared to just one system before optimization.
SD3.5 TensorRT-optimized models run more efficiently across NVIDIA GeForce RTX 50 and 40 Series GPUs, as well as NVIDIA Blackwell and Ada Lovelace generation NVIDIA RTX PRO GPUs. They deliver up to 2.3x faster generation on SD3.5 Large and 1.7x faster on SD3.5 Medium, while reducing VRAM requirements by 40%.
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