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license: bigscience-openrail-m
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# Papercute #

Papercute is an intentionally overfitted fine-tuning checkpoint for Stable Diffusion 1.x that lets you to create cute papercut images using either txt2img or img2img prompts. The Papercute-100k checkpoint was trained using 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. However the bug/feature has been popular so I've left it in.

### Sample images from Papercute-100k: ###