This project is a collection of Jupyter notebooks that can be used to generate and modify images using various Stable Diffusion checkpoints.
Do you want to run an image generation model you found on CivitAI on Google colab? Well, these notebooks are probably all you need. Currently, the following functionality is tested and available:
- Generate images using checkpoint merges that have Stable Diffusion 1.5 as the base model. You can adjust the number of inference steps, guidance scale, seed, more.
- Automatically convert safetensors to a format that
diffusers
can handle. - Upscale images
The idea is to just enter a prompt, a negative prompt, and (optionally) other details, and hit a button to generate an image. That's how easy it is now. If you like the image, you can download it or move it to your Google Drive.
Screenshots
- Support more customizations
- Support LoRA