stable-diffusion-xl-1.0-tensorrt
Maintainer: stabilityai
132
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
stable-diffusion-xl-1.0-tensorrt is an optimized version of the Stable Diffusion XL 1.0 model developed by Stability AI. It uses NVIDIA TensorRT to provide substantial improvements in speed and efficiency compared to the non-optimized version. The TensorRT versions (sdxl, sdxl-lcm, sdxl-lcmlora) can generate high-quality images from text prompts much faster than the baseline model, with up to 41% reduction in latency on an H100 accelerator.
Model inputs and outputs
Inputs
- Text prompt: A natural language description of the desired output image.
Outputs
- Images: The generated image(s) corresponding to the input text prompt.
Capabilities
The stable-diffusion-xl-1.0-tensorrt model is a powerful text-to-image generation system that can create detailed, photorealistic images from text descriptions. It is capable of generating a wide variety of scenes, objects, and characters, and can handle complex prompts involving multiple elements. The optimized TensorRT versions provide a substantial speed boost, making this model suitable for real-time or interactive applications.
What can I use it for?
The stable-diffusion-xl-1.0-tensorrt model can be used for a variety of creative and artistic applications, such as:
- Generating concept art or illustrations for games, films, or other media
- Aiding in the design process by quickly visualizing ideas
- Creating unique and personalized images for social media, websites, or marketing materials
- Prototyping or experimenting with new design concepts
The speed and efficiency improvements of the TensorRT versions also make this model suitable for use in interactive or real-time applications, such as:
- Generative art or creative coding tools
- Virtual reality or augmented reality experiences
- Collaborative design platforms
For commercial use, please refer to the Stability AI membership information.
Things to try
One interesting aspect of the stable-diffusion-xl-1.0-tensorrt model is its ability to generate high-quality images in just a single network evaluation, thanks to the optimizations provided by NVIDIA TensorRT. This makes it well-suited for real-time or interactive applications, where low latency is crucial.
To get a sense of the model's capabilities, you could try experimenting with a variety of prompts, from simple to complex. See how the model handles detailed scenes, unusual combinations of elements, or requests for specific artistic styles. The speed improvements may also enable new types of creative workflows or interactive experiences that were not feasible with the non-optimized version.
Additionally, you could explore using the different TensorRT versions (sdxl, sdxl-lcm, sdxl-lcmlora) and compare their performance characteristics to find the best fit for your particular use case.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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