
## Model description

This model has been fine-tuned by by [Shamima](https://huggingface.co/Shamima) on bengali clay cups and saucers. 

## Intended uses & limitations

Please feel free to make your imaginations run wild and have fun.

## Example images generated
Unique sets of cups using bengali clay pottery style
![Unique sets of cups using bengali clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679235507936-61bb7f4d9d77f2f37143a83d.png)

Michelango's David re-imagined in bengali clay pottery style and texture

![Michelango's David re-imagined in bengali clay pottery style and texture](https://s3.amazonaws.com/moonup/production/uploads/1679235591488-61bb7f4d9d77f2f37143a83d.png)
A town of futuristic buildings in clay pottery style

![A town of futuristic buildings in clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679235682936-61bb7f4d9d77f2f37143a83d.png)

Unique jewellery pieces in bengali clay pottery style

![Unique jewellery pieces in bengali clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679236107863-61bb7f4d9d77f2f37143a83d.png)

## Training and evaluation data

The model was fine-tuned on my personal collection of cups and saucer sets made of clay pottery. Dataset can be found [here](https://huggingface.co/datasets/keras-dreambooth/bengali-clay-cups-dataset).

## 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>
{"library_name": "keras", "tags": ["keras", "diffusers", "stable-diffusion", "text-to-image", "keras-dreambooth"], "widget": [{"text": "a photo of traditional cups image in bng clay style"}]}
keras diffusers stable-diffusion text-to-image keras-dreambooth has_space region:us
TAGS
#keras #diffusers #stable-diffusion #text-to-image #keras-dreambooth #has_space #region-us 

Model description
-----------------


This model has been fine-tuned by by Shamima on bengali clay cups and saucers.


Intended uses & limitations
---------------------------


Please feel free to make your imaginations run wild and have fun.


Example images generated
------------------------


Unique sets of cups using bengali clay pottery style
!Unique sets of cups using bengali clay pottery style


Michelango's David re-imagined in bengali clay pottery style and texture


!Michelango's David re-imagined in bengali clay pottery style and texture
A town of futuristic buildings in clay pottery style


!A town of futuristic buildings in clay pottery style


Unique jewellery pieces in bengali clay pottery style


!Unique jewellery pieces in bengali clay pottery style


Training and evaluation data
----------------------------


The model was fine-tuned on my personal collection of cups and saucer sets made of clay pottery. Dataset can be found here.


Training procedure
------------------


### Training hyperparameters


The following hyperparameters were used during training:



Model Plot
----------



View Model Plot
!Model Image



### Training hyperparameters


The following hyperparameters were used during training:



Model Plot
----------



View Model Plot
!Model Image
TAGS
#keras #diffusers #stable-diffusion #text-to-image #keras-dreambooth #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:



Model Plot
----------



View Model Plot
!Model Image
TAGS
#keras #diffusers #stable-diffusion #text-to-image #keras-dreambooth #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:



Model Plot
----------



View Model Plot
!Model Image