Nov 5, 2025 · Package AMDGPU Forge When did the issue occur? Installing the Package What GPU / hardware type are you using? AMD RX6800 What happened? Package not starting. Warning: caught exception 'Found no NVIDIA driver on your system. Optimum is a utility package for building and running inference with accelerated runtime like ONNX Runtime. com/Download/index. Optimum can be used to load optimized models from the Hugging Face Hub and create pipelines to run accelerated inference without rewriting your APIs. This reply has a link to an article regarding fixing this. aspx', memory monitor disabled. Mar 11, 2022 · I'm taking a Microsoft PyTorch course and trying to implement on Kaggle Notebooks but I kept having the same error message over and over again: "ModuleNotFoundError: No module named 'onnxruntime'". Feb 11, 2024 · To pick up a draggable item, press the space bar. WARNING: ZLUDA 在stable-diffusion-webui项目中，它主要用于提升ONNX模型的运行效率，特别是在AMD GPU上的性能表现。 总结 遇到Python模块缺失错误时，重建虚拟环境通常是最高效的解决方案。 对于stable-diffusion-webui-amdgpu这样的复杂项目，保持环境清洁和依赖关系正确至关重要。 Feb 11, 2024 · To pick up a draggable item, press the space bar. Please check that you have an NVIDIA GPU and installed a driver from http://www. nvidia. Console output fatal: No names found, cannot describe anything. While dragging, use the arrow keys to move the item. Dec 19, 2025 · Optimum provides multiple tools to export and run optimized models on various ecosystems: ONNX / ONNX Runtime, one of the most popular open formats for model export, and a high-performance inference engine for deployment. Press space again to drop the item in its new position, or press escape to cancel. Feb 15, 2024 · To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. May 13, 2024 · This article discusses the ONNX runtime, one of the most effective ways of speeding up Stable Diffusion inference. What happened? when I start stablediffusion I get the error I mentioned in the subject, I don't know how to solve it, I have an amd 6800xt card. WARNING: ZLUDA . Feb 11, 2021 · Most likely the CUDA dlls aren't in the path so aren't found when the onnxruntime library is being loaded by python.

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