Papercute
Papercute100k is an intentionally overfitted fine-tuning checkpoint for Stable Diffusion 1.x that lets you to create adorable papercut images using either txt2img or img2img prompts. The Papercute100k checkpoint was trained on 141 curated and captioned images over 100,000 steps. Training took approximately 11hrs on an Nvidia 3090ti.
Tips for best results
- No keyword is necessary to engage the model. Just load the checkpoint and enter your prompt.
- Works best at around 50 steps
Known Limitations:
- Does not work well with PLMS sampling
- Does not do well with complicated scenes
- Big cats tend to look like doilies. This is due to a particular training image being overempahasized. This bug/feature has been popular so I left it in.
Sample images from Papercute100k:
