---
license: mit
---
# Description
Trainer: ChrisC

Rem from Re:zero
# How to run

```python
from diffusers import StableDiffusionPipeline
import torch
pipeline = StableDiffusionPipeline.from_single_file(
    "https://huggingface.co/waifu-research-department/Rem/blob/main/rem_3k.ckpt",
).to("cuda")

pipeline.safety_checker = None # disable safety content, delete this line if you want a safe for work content

postive_prompt = "rem"
negative_prompt = ""
image = pipeline(postive_prompt,negative_prompt=negative_prompt).images[0]

```

or you can run in [colab](https://colab.research.google.com/drive/1uRc6W1xNeSie1RoeSpBemcssbZOfBZ4k?usp=sharing) 


# Dataset
>Training: 22 images

>Regularization: 400 images

# Info

>rem_3k_WD1-3.ckpt

>Model Used: Waifu Diffusion 1.3

>Steps: 3000

>Keyword: Rem (Use this in the prompt)

>Class Phrase: onetruerem

>rem_3k.ckpt is based on Waifu Diffusion 1.2