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README.md
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To access this model, you can download the CKPT file below.
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</p>
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[2GB CKPT](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/SouthParkStyle_v1.ckpt)
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[11GB CKPT with training optimizers](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/SouthParkStyle_v1_with_optimizers.ckpt)
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[dataset for the first version](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/dataset.zip)
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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To access this model, you can download the CKPT file below.
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</p>
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## Downloads
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[2GB CKPT](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/SouthParkStyle_v1.ckpt)
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[11GB CKPT with training optimizers](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/SouthParkStyle_v1_with_optimizers.ckpt)
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[dataset for the first version](https://huggingface.co/Guizmus/SouthParkStyle/resolve/main/dataset.zip)
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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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You can also export the model to [ONNX](https://huggingface.co/docs/diffusers/optimization/onnx), [MPS](https://huggingface.co/docs/diffusers/optimization/mps) and/or [FLAX/JAX]().
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```python
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from diffusers import StableDiffusionPipeline
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import torch
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model_id = "Guizmus/SouthParkStyle"
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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 = "Yoda SouthPark Style"
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image = pipe(prompt).images[0]
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image.save("./SouthParkStyle.png")
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```
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## License
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This model is open access and available to all, with a CreativeML OpenRAIL-M license further specifying rights and usage.
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