readme: ---
  license: creativeml-openrail-m
  tags:
  - pytorch
  - diffusers
  - stable-diffusion
  - text-to-image
  - diffusion-models-class
  - dreambooth-hackathon
  - landscape
  - classical-art
  widget:
  - text: a painting in $M## style of a fishing village under a cherry blossom forest at sunset
  ---
  
  # DreamBooth model for the painting of mixed style between Claude-Monet and Hokusai
  
  This is a Stable Diffusion model fine-tuned to generate mixed styled paintings between Claude-Monet and Hokusai 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](https://huggingface.co/dreambooth-hackathon) for instructions on how to take part!
  
  ## Description
  
  This is a Stable Diffusion model fine-tuned on paintings of both Claude-Monet and Hokusai.
  
  ## 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
  ```python
  from diffusers import StableDiffusionPipeline
  pipeline = StableDiffusionPipeline.from_pretrained('avuhong/DB_Hokusai_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
  ```