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--- |
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language: |
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- en |
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tags: |
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- stable-diffusion |
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- stable-diffusion-diffusers |
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- beeple |
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- digital art |
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- aiart |
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license: creativeml-openrail-m |
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--- |
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<center><img src="https://huggingface.co/riccardogiorato/beeple-diffusion/resolve/main/assets/robots.png" width="512" height="512"/></center> |
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# Beeple Diffusion |
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An AI model that generates artwork with [beeple](https://twitter.com/beeple) style! |
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Based of a finetuned Stable Diffusion V1.5, trained in Dreambooth with more than 600 images of Beeple's artwork. |
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by [riccardogiorato](https://twitter.com/riccardogiorato) |
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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 = "riccardogiorato/beeple-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 = "a magical witch with golden hair with beeple style" |
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image = pipe(prompt).images[0] |
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image.save("./magical_witch.png") |
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``` |
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# **👇Model👇** |
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AI Model Weights available at huggingface: https://huggingface.co/riccardogiorato/beeple-diffusion |
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# Usage |
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After model loaded, use keyword **beeple** in your prompt. |
