DreamBooth model for the painting of Claude-Monet style

This is a Stable Diffusion model fine-tuned Claude-Monet's painting style taught to Stable Diffusion with DreamBooth. It can be used by modifying the instance_prompt: a painting in $M## style of

This model was created as part of the DreamBooth Hackathon 🔥. Visit the organisation page for instructions on how to take part!

Description

This is a Stable Diffusion model fine-tuned on Claude-Monet's paintings.

Examples

Since it's more for landscape painting, the image size matters. I found that 512*1024 normally gave interesting results. Check out this gallery for more generated images: https://www.vuhongai.com/classicalart-ai

Usage

from diffusers import StableDiffusionPipeline
pipeline = StableDiffusionPipeline.from_pretrained('avuhong/DB_Monet_style')

prompt = "a painting in $M## style of a fishing village under a cherry blossom forest at sunset"
image = pipe(prompt, 
             num_inference_steps=200, 
             guidance_scale=5, 
             height=512, width=1024,
            ).images[0]
image