---
library_name: keras
license: creativeml-openrail-m
tags:
- keras
- diffusers
- stable-diffusion
- text-to-image
- keras-dreambooth
- nature
widget:
- text: a photo of akt## dog
---

## Model description

This model has been fine-tuned to learn the concept of Akita Dog from Japan by [ChienVM](https://huggingface.co/vumichien) on this [dataset](https://huggingface.co/datasets/keras-dreambooth/akita-inu)

## Intended uses & limitations

Concept token "akt## dog". Example: "a photo of akt## dog"

## Some examples prompt

<figure>
  <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_01.png" alt="Sample 1">
  <figcaption>Prompt: akt## dog as an anime character in overwatch 
              Negative prompt: (bad anatomy), (blurry)
              Steps: 100, CFG scale: 12, Size: 512x12
  </figcaption>
</figure>


<figure>
  <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_02.png" alt="Sample 2">
  <figcaption>Prompt:akt## dog as a realistic fantasy knight, closeup portrait art by donato giancola and greg rutkowski, digital art, trending on artstation
              Negative prompt: (bad anatomy), (blurry), ugly 
              Steps: 100, CFG scale: 12, Size: 512x12
  </figcaption>
</figure>

<figure>
  <img src="https://huggingface.co/vumichien/dreambooth_diffusion_akitainu/resolve/main/demo_03.png" alt="Sample 3">
  <figcaption>Prompt:Cute and adorable cartoon fluffy akt## dog with cap, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation
              Negative prompt: (bad anatomy), (blurry), ugly
              Steps: 100, CFG scale: 12, Size: 512x12
  </figcaption>
</figure>

## 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 |