Downloads · 30 days
21
6% of all-time downloads
keras-dreambooth/monkey_island_style
monkey_island_style is a text-to-image model from keras-dreambooth. Use it when you need an image from a text prompt. It is set up for keras. The card lists the license as apache-2.0.
This model is a fine-tuned Stable Diffusion modeled, using the Dreambooth technique. It was trained on 43 screenshots of the game Return To Monkey Island, scraped from the Internet. You can find the full set here: Ret…
Downloads · 30 days
21
6% of all-time downloads
All-time downloads
365
Public
Repo size
6.9 GB
Likes
0
Public
Click a slice to open those files.
.data-00000-of-000013.4 GB · 99%
From the Hugging Face model README
This model is a fine-tuned Stable Diffusion modeled, using the Dreambooth technique. It was trained on 43 screenshots of the game Return To Monkey Island, scraped from the Internet. You can find the full set here: Return To Monkey Island Screenshots
The result resembles the style from the game, even though you should not expect wonders and rather see it as its own style inspired by the game's.
It was created by johko for the keras-dreambooth sprint.
This model was trained using the keras implementation of dreambooth. You can find the notebook to train these models and how to attend this sprint here.
Geralt of Rivia

Frodo Baggins

Han Solo

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 |
