Instructions to use knoxcs/stable-diffusion-webui-knox with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use knoxcs/stable-diffusion-webui-knox with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("knoxcs/stable-diffusion-webui-knox", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 599 Bytes
3947dab | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | #!/bin/bash
#should just be plug and play given dockerfile and this start-script
## but we'll see
export USER="$(whoami)"
export PATH=$PATH:"/home/$USER/.local/bin"
# might need to run twice, test on an actual GPU, best I can tell it takes one
## round through to create the torch module so that it can actually run
## Conda might actually be a fix for this if I can make it work, not tonight though
## use ./webui.sh --listen --xformers --use-cpu all --precision full --no-half --skip-torch-cuda-test if no GPU
./webui.sh --listen --xformers
./webui.sh --listen --xformers
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