This is a community project, so please feel free to contribute (and use in your project)!
We'd love to accept code contributions. Please feel free to drop by our Discord community!
📢 We're looking for code contributions for these features (or anything else you'd like to work on):
- CodeFormer upscaling (please maintain the required copyright notices).
- Using custom Textual Inversion embeddings.
- Seamless tiling.
- Outpainting.
- Mac support.
- AMD support.
- Allow other samplers for img2img (instead of only DDIM).
If you're on Windows or Linux, please install CUDA-compatible torch
and torchvision
(if you haven't already) using: pip install torch torchvision --extra-index-url https://download.pytorch.org/whl/cu116
-
Create a fork of this repository using https://github.com/easydiffusion/sdkit/fork
-
Copy the link to your repository using the "Code" button in your repository. Important: Use YOUR fork for this.
-
Install an editable copy of your fork using:
pip install -e [email protected]:YOUR_FORK_NAME/sdkit.git#egg=sdkit
orpip install -e git+https://github.com/YOUR_FORK_NAME/sdkit.git#egg=sdkit
. ReplaceYOUR_FORK_NAME
with what your fork has. -
This will checkout a working copy of sdkit, along with any required dependencies.
-
You can now edit the code and submit pull-requests for any changes you'd like to contribute.