diffusers tensorboard safetensors text-to-image dreambooth diffusers-training stable-diffusion stable-diffusion-diffusers base_model:CompVis/stable-diffusion-v1-4 license:creativeml-openrail-m autotrain_compatible endpoints_compatible diffusers:StableDiffusionPipeline region:us
---
license: creativeml-openrail-m
library_name: diffusers
tags:
- text-to-image
- dreambooth
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
inference: true
base_model: CompVis/stable-diffusion-v1-4
instance_prompt: a photo of uiucBoneyardCreek creek
---

<!-- 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 - soren-dunn/boneyard_creek_model

This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on a photo of uiucBoneyardCreek creek using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following. 



DreamBooth 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]