|
--- |
|
library_name: keras |
|
license: creativeml-openrail-m |
|
tags: |
|
- keras |
|
- diffusers |
|
- stable-diffusion |
|
- text-to-image |
|
- keras-dreambooth |
|
- nature |
|
widget: |
|
- text: a photo of painting image in hks## style |
|
--- |
|
|
|
## Model description |
|
|
|
## 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/keras-dreambooth/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/keras-dreambooth/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/keras-dreambooth/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 | |
|
|
|
|
