Downloads · 30 days
18
9% of all-time downloads
keras-dreambooth/pink-floyd-division-bell
pink-floyd-division-bell is a machine learning model from keras-dreambooth. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras. The card lists the license as creativeml-openrail-m.
This model is a stable diffusion keras model fine tuned using dreambooth. This model has been fine tuned to learn the concept of pink floyd's division bell album cover. To generate images including this concept, use t…
Downloads · 30 days
18
9% of all-time downloads
All-time downloads
200
Public
Repo size
3.5 GB
Likes
1
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 stable diffusion keras model fine tuned using dreambooth. This model has been fine tuned to learn the concept of pink floyd's division bell album cover. To generate images including this concept, use this in your prompt - "pink floyd division bell album cover".
It can be used to generate images of your choice using a text prompt.






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 |

This model was contributed by Shivalika Singh