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Set `library_name` to `tf-keras`. (#1)
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metadata
library_name: tf-keras
license: creativeml-openrail-m
tags:
  - diffusers
  - stable-diffusion
  - text-to-image
  - keras-dreambooth
  - nature
widget:
  - text: a photo of akt## dog

Model description

This model has been fine-tuned to learn the concept of Akita Dog from Japan by ChienVM on this dataset

Intended uses & limitations

Concept token "akt## dog". Example: "a photo of akt## dog"

Some examples prompt

Sample 1
Prompt: akt## dog as an anime character in overwatch Negative prompt: (bad anatomy), (blurry) Steps: 100, CFG scale: 12, Size: 512x12
Sample 2
Prompt:akt## dog as a realistic fantasy knight, closeup portrait art by donato giancola and greg rutkowski, digital art, trending on artstation Negative prompt: (bad anatomy), (blurry), ugly Steps: 100, CFG scale: 12, Size: 512x12
Sample 3
Prompt:Cute and adorable cartoon fluffy akt## dog with cap, fantasy, dreamlike, city scenario, surrealism, super cute, trending on artstation Negative prompt: (bad anatomy), (blurry), ugly Steps: 100, CFG scale: 12, 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