Create README.md

README.md

@@ -0,0 +1,44 @@
+---
+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
+```