kamalkraj/stable-diffusion-tritonserver
Deploy stable diffusion model with onnx/tenorrt + tritonserver
This helps MLOps engineers and AI infrastructure teams deploy Stable Diffusion models efficiently for high-performance image generation. It takes a pre-trained Stable Diffusion model, converts it to an optimized format like ONNX or TensorRT, and then sets it up to run on an inference server. The output is a highly optimized service ready to generate images from text prompts at speed and scale.
126 stars. No commits in the last 6 months.
Use this if you need to serve Stable Diffusion models reliably and at high throughput in a production environment.
Not ideal if you are an end-user looking for a simple application to generate images, or a developer experimenting with Stable Diffusion on a local machine without performance constraints.
Stars
126
Forks
19
Language
Jupyter Notebook
License
Apache-2.0
Category
Last pushed
Aug 15, 2023
Commits (30d)
0
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