--- library_name: keras tags: - keras - diffusers - stable-diffusion - text-to-image - keras-dreambooth widget: - text: a photo of traditional cups image in bng clay style --- ## Model description This model has been fine-tuned by by [Shamima](https://huggingface.co/Shamima) on bengali clay cups and saucers. ## Intended uses & limitations Please feel free to make your imaginations run wild and have fun. ## Example images generated Unique sets of cups using bengali clay pottery style ![Unique sets of cups using bengali clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679235507936-61bb7f4d9d77f2f37143a83d.png) Michelango's David re-imagined in bengali clay pottery style and texture ![Michelango's David re-imagined in bengali clay pottery style and texture](https://s3.amazonaws.com/moonup/production/uploads/1679235591488-61bb7f4d9d77f2f37143a83d.png) A town of futuristic buildings in clay pottery style ![A town of futuristic buildings in clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679235682936-61bb7f4d9d77f2f37143a83d.png) Unique jewellery pieces in bengali clay pottery style ![Unique jewellery pieces in bengali clay pottery style](https://s3.amazonaws.com/moonup/production/uploads/1679236107863-61bb7f4d9d77f2f37143a83d.png) ## Training and evaluation data The model was fine-tuned on my personal collection of cups and saucer sets made of clay pottery. Dataset can be found [here](https://huggingface.co/datasets/keras-dreambooth/bengali-clay-cups-dataset). ## 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
View Model Plot ![Model Image](./model.png)