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--- |
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license: creativeml-openrail-m |
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tags: |
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- text-to-image |
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- stable-diffusion |
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--- |
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### islamicdiffusion Dreambooth model trained by Falah |
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Test the concept via A1111 Colab [fast-Colab-A1111](https://colab.research.google.com/github/TheLastBen/fast-stable-diffusion/blob/main/fast_stable_diffusion_AUTOMATIC1111.ipynb) |
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Sample pictures of this concept: |
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<img src="https://huggingface.co/Falah/islamicdiffusion/blob/main/00626-3710065853-Islamic%20home.png" style="max-width: 800px;" width="100%"/> |
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<img src="https://huggingface.co/dreamlike-art/dreamlike-diffusion-1.0/resolve/main/preview.jpg" style="max-width: 800px;" width="100%"/> |
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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 Pipeline](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion). |
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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 = "Falah/islamicdiffusion" |
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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 = "photo, a home in the middle of a field of crops, bright cinematic lighting, gopro, fisheye lens style islamicdiffusion" |
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image = pipe(prompt).images[0] |
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image.save("./result.jpg") |
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``` |
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