---
base_model: CompVis/stable-diffusion-v1-4
library_name: diffusers
license: creativeml-openrail-m
tags:
- text-to-image
- dreambooth
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- dreambooth
- diffusers-training
- stable-diffusion
- stable-diffusion-diffusers
inference: true
instance_prompt: any two tiles of blue, pink, or orange color are connected through
  a path with non-black tiles, each blue tile is adjacent to at least one black tile,each
  black tile is adjacent to at least two blue tiles.
---

<!-- This model card has been generated automatically according to the information the training script had access to. You
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# DreamBooth - bhuv1-c/db-valid-warehouse-try4

This is a dreambooth model derived from CompVis/stable-diffusion-v1-4. The weights were trained on any two tiles of blue, pink, or orange color are connected through a path with non-black tiles, each blue tile is adjacent to at least one black tile,each black tile is adjacent to at least two blue tiles. using [DreamBooth](https://dreambooth.github.io/).
You can find some example images in the following. 



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]