README.md

---
base_model: stabilityai/stable-diffusion-2-1-base
library_name: diffusers
license: creativeml-openrail-m
inference: true
instance_prompt: A <IFT> aerial view
tags:
- text-to-image
- diffusers
- lora
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
---

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# LoRA DreamBooth - dushj98/ift_lora

These are LoRA adaption weights for stabilityai/stable-diffusion-2-1-base. The weights were trained on A <IFT> aerial view 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)


LoRA for the text encoder was enabled: True.


## 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]