---
datasets:
- danwaldie/dreambooth
library_name: tf-keras
license: apache-2.0
pipeline_tag: text-to-image
tags:
- keras-dreambooth
- nature
---

## Model description

Dreambooth fine-tuned for pictures of my dog, Teddy. Prompts with "teddy_holmes dog" as the unique identifier + class label.

The model seems overtrained on the poses supplied in the training images.

### About Teddy

Teddy is a Mini Double Doodle. He's the offspring of a Labradoodle and a Mini Golden Doodle, so he is one half Poodle, one quarter Labrador Retriever, and one quarter Golden Retriever.

## Examples
![Teddy as an Astronaut](Teddy-Astronaut.png)
![Teddy as a Knight](Teddy-Knight.png)
![Teddy on a floatie](Teddy-Pineapple.png)
![Teddy as a Superhero](Teddy-Superhero.png)

## Intended uses & limitations

Anyone is welcome to use the model if they want to generate pictures of an adorable dog doing interesting things.

## Training and evaluation data

More information needed

## 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>