keras-dreambooth/marvin_paranoid_android

Model description

This model is a fine-tuned Stable Diffusion modeled, using the Dreambooth technique. It was trained on 15 images of Marvin the Paranoid Android, scraped from the Internet, as instance images and 205 robot images generated by Stable Diffusion as class images. You can find the full set here: Marvin the Paranoid Android

It was created by johko for the 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.

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

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