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Monet Style

Developed by sd-dreambooth-library
A Stable Diffusion model trained with Dreambooth technology that transforms input images into Monet-style paintings.
Downloads 37
Release Time : 12/7/2022

Model Overview

This model fine-tunes the Stable Diffusion model using Dreambooth technology, capable of converting ordinary photos into paintings in the style of the Impressionist master Monet. Suitable for artistic creation, image style transfer, and other scenarios.

Model Features

Monet-style transfer
Capable of transforming input images into the unique painting style of Impressionist master Monet
Based on Dreambooth technology
Uses Dreambooth for personalized fine-tuning of the Stable Diffusion model, adding specific styles while retaining the original model's capabilities
Fast inference
Supports quick deployment and testing via Colab

Model Capabilities

Image style transfer
Artistic creation
Text-to-Image

Use Cases

Artistic creation
Photo artistic processing
Convert ordinary photos into Monet-style paintings
Obtain artworks with an Impressionist style
Design assistance
Design material generation
Quickly generate backgrounds or materials with specific artistic styles
Improve design work efficiency
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