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--- |
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license: creativeml-openrail-m |
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tags: |
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- pytorch |
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- diffusers |
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- stable-diffusion |
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- text-to-image |
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- diffusion-models-class |
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- dreambooth-hackathon |
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- landscape |
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- classical-art |
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widget: |
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- text: a painting in $M## style of a fishing village under a cherry blossom forest at sunset |
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--- |
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# DreamBooth model for the painting of Hokusai style |
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This is a Stable Diffusion model fine-tuned Hokusai's painting style taught to Stable Diffusion with DreamBooth. |
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It can be used by modifying the `instance_prompt`: **a painting in $M## style of** |
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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! |
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## Description |
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This is a Stable Diffusion model fine-tuned on Hokusai's paintings, a Japanese artist from the Edo period (1760-1849). The AI model used to create these works was primarily trained on Hokusai's most famous series of woodblock prints, called the Thirty-Six Views of Mount Fuji including the iconic The Great Wave off Kanagawa. |
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## Examples |
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Since it's more for landscape painting, the image size matters. I found that 512*1024 normally gave interesting results. |
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Check out this gallery for more generated images: |
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https://www.vuhongai.com/classicalart-ai |
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## Usage |
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```python |
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from diffusers import StableDiffusionPipeline |
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pipeline = StableDiffusionPipeline.from_pretrained('avuhong/DB_Hokusai_style') |
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prompt = "a painting in $M## style of a fishing village under a cherry blossom forest at sunset" |
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image = pipe(prompt, |
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num_inference_steps=200, |
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guidance_scale=5, |
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height=512, width=1024, |
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).images[0] |
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image |
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``` |
