
## Model description

The Ignatius Farray dreambooth model would be a sleek and modern diffusion model designed to transport users into a world of absurdity and hilarity. 
I cannot promise that all the images would be adorned with bright, eye-catching colors and images that reflect Ignatius' unique sense of style and humor.

## Images generated by model

![summary_image](./ignatius_summary.png)

## Intended uses & limitations

You can use to create images based on Ignatius and put him in different situations. Try not to use for bad purpose and use the "commedia" on it.

## Training and evaluation data

To train this model, this was the training [notebook](https://colab.research.google.com/github/huggingface/community-events/blob/main/keras-dreambooth-sprint/Dreambooth_on_Hub.ipynb) and the trainig dataset was this [one](https://huggingface.co/datasets/matallanas/ignatius)

## 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>

## Usage

The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"

```python
from huggingface_hub import from_pretrained_keras
import keras_cv

sd_dreambooth_model = keras_cv.models.StableDiffusion(
    img_width=resolution, img_height=resolution, jit_compile=True, 
)
loaded_diffusion_model = from_pretrained_keras("keras-dreambooth/ignatius")
sd_dreambooth_model._diffusion_model = loaded_diffusion_model

prompt = f"ignatius on the moon"

#generated_img = sd_dreambooth_model.text_to_image(
generated_img = dreambooth_model.text_to_image(
    prompt,
    batch_size=4,
    num_steps=150,
    unconditional_guidance_scale=15,
)
```
{"language": ["en"], "license": "creativeml-openrail-m", "library_name": "keras", "tags": ["stable-diffusion", "text-to-image", "keras-dreambooth", "wild-card"], "inference": true}
keras stable-diffusion text-to-image keras-dreambooth wild-card en license:creativeml-openrail-m has_space region:us
TAGS
#keras #stable-diffusion #text-to-image #keras-dreambooth #wild-card #en #license-creativeml-openrail-m #has_space #region-us 

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


The Ignatius Farray dreambooth model would be a sleek and modern diffusion model designed to transport users into a world of absurdity and hilarity.
I cannot promise that all the images would be adorned with bright, eye-catching colors and images that reflect Ignatius' unique sense of style and humor.


Images generated by model
-------------------------


!summary\_image


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


You can use to create images based on Ignatius and put him in different situations. Try not to use for bad purpose and use the "commedia" on it.


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


To train this model, this was the training notebook and the trainig dataset was this one


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


### Training hyperparameters


The following hyperparameters were used during training:



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



View Model Plot
!Model Image



Usage
-----


The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"



### Training hyperparameters


The following hyperparameters were used during training:



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



View Model Plot
!Model Image



Usage
-----


The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"
TAGS
#keras #stable-diffusion #text-to-image #keras-dreambooth #wild-card #en #license-creativeml-openrail-m #has_space #region-us 
 ### Training hyperparameters


The following hyperparameters were used during training:



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



View Model Plot
!Model Image



Usage
-----


The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"
TAGS
#keras #stable-diffusion #text-to-image #keras-dreambooth #wild-card #en #license-creativeml-openrail-m #has_space #region-us 
### Training hyperparameters


The following hyperparameters were used during training:



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



View Model Plot
!Model Image



Usage
-----


The instance token used is "ignatius". A prompt example is as follows "a photo of ignatius on a car"