---
base_model: stable-diffusion-v1-5/stable-diffusion-v1-5
library_name: diffusers
license: creativeml-openrail-m
inference: true
instance_prompt: A close-up photo of a soybean leaf suffering from ymv disease, being
  held in a hand in an agricultural field. The leaf has distinct yellow mosaic patterns,
  with irregular patches and green veins. Other soybean plants with similar symptoms
  are visible in the blurred background
tags:
- text-to-image
- dreambooth
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
---

<!-- 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 - ButterChicken98/sb_db_v1

This is a dreambooth model derived from stable-diffusion-v1-5/stable-diffusion-v1-5. The weights were trained on A close-up photo of a soybean leaf suffering from ymv disease, being held in a hand in an agricultural field. The leaf has distinct yellow mosaic patterns, with irregular patches and green veins. Other soybean plants with similar symptoms are visible in the blurred background using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following. 

![img_0](./image_0.png)
![img_1](./image_1.png)
![img_2](./image_2.png)
![img_3](./image_3.png)


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]