This repository contains a Jupyter Notebook file named stablediffusion.ipynb, which demonstrates how to use the Diffusers repository from Hugging Face without a graphical user interface (GUI). The notebook is designed to be run on Google Colab, a free cloud-based Jupyter notebook environment that provides access to GPUs and TPUs.
stablediffusion.ipynb: Jupyter Notebook file containing the code and documentation for using the Diffusers repository from Hugging Face without GUI.
- Open the notebook in Google Colab by clicking on the provided link or by uploading it manually.
- Run the cells sequentially, following the instructions and comments provided in the notebook.
- Make sure to install any necessary dependencies by running the appropriate cells or commands.
- Replace the placeholder code or parameters with your own data and configurations as needed.
- Execute the code cells to train, evaluate, or perform other tasks related to using the Diffusers repository from Hugging Face.
- Python 3.x
- Jupyter Notebook
- Google Colab (optional but recommended for GPU/TPU support)
- Dependencies listed in the notebook(already mentioned in the code segment no extra headache needed)(installable via
piporconda): - AutoPipeline
- diffusers
- respective model (loRa optional)[like AbyssOrangeMixv3]
This repository is provided for educational and demonstration purposes only. The code and techniques demonstrated in the notebook may be subject to licensing restrictions or usage limitations. Users are responsible for complying with all relevant licenses and terms of use when using the Diffusers repository or any other third-party libraries or datasets referenced in the notebook.
This documentation was prepared by @dragon4926 and is intended to accompany the stablediffusion.ipynb notebook for the purpose of guiding users through the process of using the Diffusers repository from Hugging Face to use stable diffusion without GUI. For any questions, feedback, or issues related to this repository, please contact the author directly.