keras-dreambooth/dreambooth_diffusion_minercraft

Model description

This model has been fine-tuned to learn the concept of Minecraft by ChienVM on this dataset

Intended uses & limitations

Concept token "mrf style". Example: "a photo of landscape in mrf style" This model only finetunes with the landscape image in Minecraft world. Therefore, it can not generate good iamges with other concepts.

Some examples prompt

Prompt: a fishing village under a cherry blossom forest at sunset in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12

Prompt: a photo of landscape in mrf style. Negative prompt: bad anatomy, soft blurry. Steps: 50, CFG scale: 7.5, Size: 512x12

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