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Update docs/articles_en/openvino-workflow/torch-compile.rst
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Co-authored-by: Ravi Panchumarthy <ravi.panchumarthy@intel.com>
daniil-lyakhov and ravi9 authored Dec 10, 2024
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@@ -316,7 +316,7 @@ TorchServe Integration
TorchServe is a performant, flexible, and easy to use tool for serving PyTorch models in production. For more information on the details of TorchServe,
you can refer to `TorchServe github repository. <https://github.com/pytorch/serve>`__. With OpenVINO ``torch.compile`` integration into TorchServe you can serve
PyTorch models in production and accelerate them with OpenVINO on various Intel hardware. Detailed instructions on how to use OpenVINO with TorchServe are
available in `TorchServe examples. <https://github.com/pytorch/serve/tree/master/examples/pt2/torch_compile_openvino>`__
available in `TorchServe examples. <https://github.com/pytorch/serve/tree/master/examples/pt2/torch_compile_openvino>`__ and in a `use case app <https://github.com/pytorch/serve/tree/master/examples/usecases/llm_diffusion_serving_app>__`.

Support for Automatic1111 Stable Diffusion WebUI
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