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dreambooth_voyager_v3
Melanit/dreambooth_voyager_v3
dreambooth_voyager_v3 is a machine learning model from Melanit. 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 cc-by-nc-4.0.
This Stable-Diffusion Model has been fine-tuned on images of the Star Trek Voyager Spaceship.
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At a glance
- Library
- keras
- License
- cc-by-nc-4.0
- Access
- Public
- Created
- Mar 25, 2023
- Updated
- Mar 25, 2023
- SHA
- 06dfab2b
Spaces
Model card
From the Hugging Face model README
Model description
This Stable-Diffusion Model has been fine-tuned on images of the Star Trek Voyager Spaceship.
Here are some examples using the following Hyperparameters:
Prompt: photo of voyager spaceship in space, high quality, 8k
Negative Prompt: bad, ugly, malformed, deformed, out of frame, blurry, cropped, noisy
Denoising Steps: 50
Guidance Scale: 7.5
Intended uses & limitations
Anyone may use this model for non-commercial usecases under the Linked License, as long as Paragraph 5 of the Open RAIL-M License are respected as well. The original Model adheres under Open RAIL-M.
It was made solely as an experiment for keras_cv Dreambooth Training.
Training and evaluation data
More information needed
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 |
- Library
- keras
- License
- cc-by-nc-4.0
- Created
- Mar 25, 2023
- Updated
- Mar 25, 2023