stable diffuion onnx模型保存路径 在使用Stable Diffusion模型时,可以使用以下路径保存ONNX模型: ``` saved_model = "path/to/save/model.onnx" model.export_onnx(saved_model) ``` 请将“path/to/save”替换为您想要保存模型的路径。确保您有写入权限,并使用正确的文件扩展名“model.onnx”。
使用C++ OnnxRuntime 重构了Tacotron2、VITS、SoVIts、DiffSvc和DiffSinger推理的集成UI软件 - pofengzhiyi/MoeSS
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c
Install OnnxRuntime cd libs && cmake [-Dep=gpu] -P ../scripts/setup-onnxruntime.cmake Build & Install The buildsystem is able to deploy the shared libraries to build directory and install directory automatically. cmake -B build -G Ninja \ -DCMAKE_INSTALL_PREFIX= \ # install director...
* Create winml adapter c api * fix build * make it build * move adapter into onnxruntime core/session * entry point not exported * minor changes * make model metadata work * make tests pass * implement all the model reflection apis on the ada...
Import for ONNX, TensorFlow SavedModel and Keras models are planned. Deeplearning4j also has full SameDiff support for easily writing custom layers and loss functions. DataVec: ETL for machine learning data in a wide variety of formats and files (HDFS, Spark, Images, Video, Audio, CSV, ...