keras-dreambooth wildcard

Model description

This Stable-Diffusion Model has been fine-tuned on images of Cars from Start to End of the 1980s.

Here are some examples using the following Hyperparameters:

Prompt: photo of eighties_cars car, high quality, 8k

Negative Prompt: bad, ugly, malformed, deformed, out of frame, blurry, cropped, noisy

Denoising Steps: 50

Guidance Scale: 7.5

Example Image Example Image Example Image Example Image Example Image Example Image Example Image Example Image

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