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--- |
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license: creativeml-openrail-m |
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tags: |
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- stable-diffusion |
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- text-to-image |
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--- |
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# Guohua Diffusion |
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This is the fine-tuned Stable Diffusion model trained on traditional Chinese paintings. |
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Use **guohua style** in your prompts for the effect. |
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## Sample Image |
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![example1](https://huggingface.co/Langboat/Guohua-Diffusion/resolve/main/Untitled-1.jpg) |
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![example2](https://huggingface.co/Langboat/Guohua-Diffusion/resolve/main/Untitled-3.jpg) |
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## How to use |
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#### WebUI |
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Download the `guohua.ckpt` in model files. |
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#### Diffusers |
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This model can be used just like any other Stable Diffusion model. For more information, |
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please have a look at the [Stable Diffusion](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). |
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```python |
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#!pip install diffusers transformers scipy torch |
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from diffusers import StableDiffusionPipeline |
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import torch |
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model_id = "Langboat/Guohua-Diffusion" |
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pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16) |
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pipe = pipe.to("cuda") |
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prompt = "The Godfather poster in guohua style" |
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image = pipe(prompt).images[0] |
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image.save("./the_god_father.png") |
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``` |
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