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@@ -21,4 +21,22 @@ Use prompt: 'mdjrny-v4 style'
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  <img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587609-63265d019f9d19bfd4f45031.png" width="100%"/>
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  <img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587646-63265d019f9d19bfd4f45031.png" width="100%"/>
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- [Click here](https://prompthero.com/midjourney-prompts?version=4) for more Midjourney v4 prompts and inspiration.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  <img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587609-63265d019f9d19bfd4f45031.png" width="100%"/>
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  <img src="https://s3.amazonaws.com/moonup/production/uploads/1667904587646-63265d019f9d19bfd4f45031.png" width="100%"/>
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+ [Click here](https://prompthero.com/midjourney-prompts?version=4) for more Midjourney v4 prompts and inspiration.
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+
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+ ### 🧨 Diffusers
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+
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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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+
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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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+
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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 = "nitrosocke/mo-di-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 princess with golden hair, modern disney style"
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+ image = pipe(prompt).images[0]
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+ image.save("./magical_princess.png")
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+ ```