vumichien's picture
Set `library_name` to `tf-keras`. (#1)
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---
library_name: tf-keras
license: creativeml-openrail-m
tags:
- diffusers
- stable-diffusion
- text-to-image
- keras-dreambooth
- scifi
widget:
- text: a photo of hks## toy
---
## Model description
This model has been fine-tuned to learn the concept of Mother rabbit toy by [ChienVM](https://huggingface.co/vumichien) on this [dataset](https://huggingface.co/datasets/keras-dreambooth/rabbit-toy)
## Intended uses & limitations
Concept token "hks## toy". Example: "a photo of hks## toy "
## Some examples prompt
<figure>
<img src="https://huggingface.co/vumichien/dreambooth_diffusion_toy/resolve/main/demo_01.png" alt="Sample 1">
<figcaption>Prompt: a photo of hks## toy in Santa Claus clothes.
Negative prompt: bad anatomy, soft blurry.
Steps: 50, CFG scale: 7.5, Size: 512x12
</figcaption>
</figure>
<figure>
<img src="https://huggingface.co/vumichien/dreambooth_diffusion_toy/resolve/main/demo_02.png" alt="Sample 2">
<figcaption>Prompt: a oil painting of hks## toy in style of van gogh.
Negative prompt: bad anatomy, soft blurry.
Steps: 50, CFG scale: 7.5, Size: 512x12
</figcaption>
</figure>
<figure>
<img src="https://huggingface.co/vumichien/dreambooth_diffusion_toy/resolve/main/demo_03.png" alt="Sample 3">
<figcaption>Prompt: a photo of hks## toy standing on the beach at sunset.
Negative prompt: bad anatomy, soft blurry.
Steps: 50, CFG scale: 7.5, 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 |