DreamBooth Diffusion Clay Cups Open-Source Model - Free Generation of Images of Clayware in Bengali Style

Dreambooth Diffusion Clay Cups

Developed by keras-dreambooth

A text-to-image generation model fine-tuned with Keras Dreambooth, capable of producing images in Bengali clay art style

Image Generation #Ceramic Style Generation #Cultural Element Reconstruction #Mixed Precision Training

Downloads 13

Release Time : 3/18/2023

Model Overview

This model is fine-tuned using Dreambooth technology on traditional Bengali clay cup and saucer sets, enabling it to generate images with unique clay art styles based on text prompts

Model Features

Cultural Style Preservation

Accurately captures the unique textures and color characteristics of traditional Bengali clay craftsmanship

Multi-Theme Adaptation

Applies clay art style to diverse themes such as utensils, sculptures, architecture, and jewelry

Efficient Fine-Tuning

Utilizes Dreambooth technology for efficient few-shot fine-tuning

Model Capabilities

Text-Guided Image Generation

Artistic Style Transfer

Creative Design Assistance

Use Cases

Cultural Creativity

Traditional Craft Digitization

Transforms Bengali pottery into digital artworks

Generates images of cup sets with clay textures

Artistic Style Reconstruction

Applies clay style to classic artworks

Generates clay-style images of 'David' statue

Product Design

Concept Design Generation

Quickly generates product concept images in clay style

Generates futuristic architectural design drafts

🚀 Keras Model for Bengali Clay Pottery Style

This Keras model is fine - tuned for generating text - to - image outputs in the Bengali clay pottery style, offering unique and creative visual results.

🚀 Quick Start

This model allows you to generate images in the Bengali clay pottery style. Just input your text description and let your imagination soar!

✨ Features

Fine - Tuned for Bengali Clay Style: The model has been specifically fine - tuned on Bengali clay cups and saucers, enabling it to generate images with a distinct Bengali clay pottery aesthetic.
Diverse Outputs: Capable of creating various types of images such as cups, sculptures, buildings, and jewellery in the Bengali clay pottery style.

📚 Documentation

Model description

This model has been fine - tuned by 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
Michelango's David re - imagined in bengali clay pottery style and texture
A town of futuristic buildings in clay pottery style
Unique jewellery pieces in bengali clay pottery style

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

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