README.md

---
license: creativeml-openrail-m
library_name: diffusers
tags:
- stable-diffusion
- stable-diffusion-diffusers
- text-to-image
- diffusers
- controlnet
- diffusers-training
base_model: stabilityai/stable-diffusion-2-1-base
inference: true
---

<!-- 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. -->


# controlnet-moritzef/model_lr3e6

These are controlnet weights trained on stabilityai/stable-diffusion-2-1-base with new type of conditioning.
You can find some example images below.

prompt: A realistic google streetview image taken in Berlin (Germany), that looks normal and has a beauty-score of 24, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_0)](./images_0.png)
prompt: A realistic google streetview image taken in New York (USA), that looks normal and has a beauty-score of 27, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_1)](./images_1.png)
prompt: A realistic google streetview image taken in Rome (Italy), that looks normal and has a beauty-score of 23, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_2)](./images_2.png)
prompt: A realistic google streetview image taken in Mexico City (Mexico), that looks very ugly and has a beauty-score of 18, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_3)](./images_3.png)
prompt: A realistic google streetview image taken in Tel Aviv (Israel), that looks normal and has a beauty-score of 24, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_4)](./images_4.png)
prompt: A realistic google streetview image taken in Kyoto (Japan), that looks very ugly and has a beauty-score of 16, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_5)](./images_5.png)
prompt: A realistic google streetview image taken in Gaborone (Botswana), that looks normal and has a beauty-score of 24, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_6)](./images_6.png)
prompt: A realistic google streetview image taken in Melbourne (Australia), that looks normal and has a beauty-score of 28, where scores are between 10 and 40 and higher scores indicate more beauty.
![images_7)](./images_7.png)



## 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]