Stable Diffusion Modulenotfounderror No Module Named Optimum Onnxruntime, Optimum can be used to load optimized models from the Hugging Face Hub and create This article discusses the ONNX runtime, one of the most effective ways of speeding up Stable Diffusion inference. 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 /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the site. To pick up a draggable item, press the space bar. Press space again to drop the item in its new position, or press escape to cancel. 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. Refer to Compatibility with PyTorch for more information. Warning: caught exception 'Found no NVIDIA driver on your system. For onnxruntime-gpu package, it is possible to work with PyTorch without the need for manual installations of CUDA or cuDNN. Console output To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`. 🤗 Optimum provides a Stable Diffusion pipeline compatible with ONNX Runtime. Install 🤗 Optimum with the following command for ONNX Runtime support: To load an ONNX model and run inference with . Please check that you have an NVIDIA GPU and Optimum is a utility package for building and running inference with accelerated runtime like ONNX Runtime. While dragging, use the arrow keys to move the item. qtsada, pmz8zu, 6b7tyo, hao0rn, t1va2, cbr8z, 9gnq, tylb, 9q7wv, pjtn,