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README.md
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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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- wildcard
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widget:
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- text: a photo of ancma map of a glistening crystal mountain.
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---
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## Description
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This is a Stable Diffusion model fine-tuned on a 100 ancient/old maps for the DreamBooth Hackathon 🔥 wildcard theme. To participate or learn more, visit [this page](https://huggingface.co/dreambooth-hackathon).
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To generate ancient/old maps, use **a photo of ancma map of [your choice]**. Additional modifiers and negative prompts may improve results. The model is not limited to classic geography, you can try gardens, cave systems, cities, planets, zodiac charts, etc.
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## Examples
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*a photo of ancma map of a fiery volcano island.*
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![volcano map](https://i.imgur.com/OTmNUx8.png)
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*a photo of ancma map of a peaceful Swiss town near a lake.*
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![swiss map](https://i.imgur.com/7FJRab8.png)
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*a photo of ancma map of a giant ant colony.*
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![ant map](https://i.imgur.com/zsez6Of.png)
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*a photo of ancma map of a beautiful flower garden.*
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![garden map](https://i.imgur.com/WKlN4PL.png)
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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('baruga/ancient-maps')
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image = pipeline().images[0]
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image
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```
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