readme: ---
  library_name: keras
  license: apache-2.0
  pipeline_tag: text-to-image
  ---
  
  ## Model description
  
  This is a Stable Diffusion model fine-tuned using Dreambooth on dog images. 🐶 
  
  ## Intended uses & limitations
  
  This model is trained for Dreambooth tutorial.
  
  ## Training and evaluation data
  
  This model is trained on dog images in [this dataset](https://huggingface.co/datasets/sayakpaul/sample-datasets/).
  
  
  ## 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 |
  
  
   ## Model Plot
  
  <details>
  <summary>View Model Plot</summary>
  
  ![Model Image](./model.png)
  
  </details>