Stable Diffusion XL 1.0 TensorRT
| Property | Value |
|---|---|
| License | CreativeML Open RAIL++-M |
| Base Model | SDXL 1.0 |
| Developer | Stability AI with NVIDIA |
| Primary Use | Text-to-Image Generation |
What is stable-diffusion-xl-1.0-tensorrt?
This is a specially optimized version of Stable Diffusion XL 1.0 using NVIDIA's TensorRT framework. It represents a significant advancement in AI image generation efficiency, offering substantial performance improvements while maintaining the high-quality output of the original SDXL model.
Implementation Details
The model comes in three variants: SDXL, SDXL-LCM, and SDXL-LCMLORA, each optimized for different use cases. The implementation achieves remarkable performance gains, with up to 41% timing improvement on H100 GPUs and 70% better image throughput compared to the non-optimized baseline.
- Supports 1024x1024 resolution image generation
- Includes optimized variants for different inference speeds
- Provides both base and refiner model implementations
- Features LCM (Latent Consistency Model) version for ultra-fast inference
Core Capabilities
- High-speed inference with maintained quality
- Flexible deployment options across different NVIDIA GPUs
- Support for both standard and accelerated pipelines
- Optimized performance on A10, A100, and H100 GPUs
Frequently Asked Questions
Q: What makes this model unique?
This model stands out for its exceptional optimization using TensorRT, achieving significant performance improvements without compromising image quality. For example, on an H100 GPU, it can generate images 70% faster than the baseline model.
Q: What are the recommended use cases?
The model is ideal for production environments requiring high-throughput image generation, particularly when using NVIDIA hardware. The LCM variant is especially suitable for applications needing ultra-fast inference, capable of generating images in just 4 steps.
