README.md

---
license: creativeml-openrail-m
library_name: diffusers
tags:
- text-to-image
- diffusers
- lora
- stable-diffusion
- stable-diffusion-diffusers
inference: true
base_model: runwayml/stable-diffusion-v1-5
instance_prompt: a picture of an Asteroid in the center, in gray and pale brown color
  across the surface. It is irregular in shape with an uneven surface containing boulders
  and ridges. It is present in space which has dark background, embedded with a cluster
  of small-sized bright stars.
---

<!-- 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 - fyp-admin/dreambooth_Asteroids_15

These are LoRA adaption weights for runwayml/stable-diffusion-v1-5. The weights were trained on a picture of an Asteroid in the center, in gray and pale brown color across the surface. It is irregular in shape with an uneven surface containing boulders and ridges. It is present in space which has dark background, embedded with a cluster of small-sized bright stars. 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]