---
license: creativeml-openrail-m
library_name: diffusers
tags:
- text-to-image
- dreambooth
- stable-diffusion
- stable-diffusion-diffusers
inference: true
base_model: CompVis/stable-diffusion-v1-4
instance_prompt: 'A Photo of a colon section: the expert 1 labels it as adenoma, expert
  2 labels it as adenocarcinoma, expert 3 labels it as adenocarcinoma'
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
should probably proofread and complete it, then remove this comment. -->


# DreamBooth - wjworld/chaoyang_df_3_2_2_colon_slide

This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on A Photo of a colon section: the expert 1 labels it as adenoma, expert 2 labels it as adenocarcinoma, expert 3 labels it as adenocarcinoma using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following. 



DreamBooth for the text encoder was enabled: False.


## Intended uses & limitations

#### How to use

```python
# TODO: add an example code snippet for running this diffusion pipeline
```

#### Limitations and bias

[TODO: provide examples of latent issues and potential remediations]

## Training details

[TODO: describe the data used to train the model]