File size: 2,035 Bytes
2206898 d6c6a7f 2206898 d6c6a7f 2206898 d6c6a7f 2206898 d6c6a7f 2206898 d6c6a7f 2206898 d6c6a7f 2206898 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 |
---
library_name: keras
license: apache-2.0
pipeline_tag: text-to-image
tags:
- keras-dreambooth
---
## Model description
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](https://huggingface.co/datasets/keras-dreambooth/marvin_paranoid_android)
It was created by [johko](https://huggingface.co/johko) for the [keras-dreambooth](https://huggingface.co/keras-dreambooth) sprint.
## Training procedure
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](https://github.com/huggingface/community-events/tree/main/keras-dreambooth-sprint).
## Example Outputs
### 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>
</details> |