README.md

---
base_model: stabilityai/stable-diffusion-2
library_name: diffusers
license: creativeml-openrail-m
tags:
- text-to-image
- diffusers
- lora
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
inference: true
instance_prompt: I want to eat delicious rice or fried rice
---

<!-- 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. -->


# LoRA DreamBooth - codeiceman/rice-model2

These are LoRA adaption weights for stabilityai/stable-diffusion-2. The weights were trained on I want to eat delicious rice or fried rice 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)


LoRA 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]