---
library_name: keras
license: creativeml-openrail-m
---

## Model description

This model is a stable diffusion keras model fine tuned using dreambooth. This model has been fine tuned to learn the concept of pink floyd's division bell album cover.
To generate images including this concept, use this in your prompt - "pink floyd division bell album cover".

## Intended uses & limitations

It can be used to generate images of your choice using a text prompt.

## Training data

 
![pink floyd division bell album cover 0](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%281%29.jpg)![pink floyd division bell album cover 1](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%282%29.jpg)![pink floyd division bell album cover 2](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%283%29.jpg)![pink floyd division bell album cover 3](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%284%29.jpg)![pink floyd division bell album cover 4](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%285%29.jpg)![pink floyd division bell album cover 5](https://huggingface.co/shivi/sd-division-bell/resolve/main/concept_images/pink%20floyd%20division%20bell%20album%20cover_%286%29.jpg)


## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:

| Hyperparameters | Value |
| :-- | :-- |
| inner_optimizer.class_name | Custom>RMSprop |
| inner_optimizer.config.name | RMSprop |
| inner_optimizer.config.weight_decay | None |
| inner_optimizer.config.clipnorm | None |
| inner_optimizer.config.global_clipnorm | None |
| inner_optimizer.config.clipvalue | None |
| inner_optimizer.config.use_ema | False |
| inner_optimizer.config.ema_momentum | 0.99 |
| inner_optimizer.config.ema_overwrite_frequency | 100 |
| inner_optimizer.config.jit_compile | True |
| inner_optimizer.config.is_legacy_optimizer | False |
| inner_optimizer.config.learning_rate | 0.0010000000474974513 |
| inner_optimizer.config.rho | 0.9 |
| inner_optimizer.config.momentum | 0.0 |
| inner_optimizer.config.epsilon | 1e-07 |
| inner_optimizer.config.centered | False |
| dynamic | True |
| initial_scale | 32768.0 |
| dynamic_growth_steps | 2000 |
| training_precision | mixed_float16 |


 ## Model Plot

<details>
<summary>View Model Plot</summary>

![Model Image](./model.png)

</details>

This model was contributed by [Shivalika Singh](https://hf.co/shivi)