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---
license: creativeml-openrail-m
tags:
- text-to-image
- stable-diffusion
---
### islamicdiffusion Dreambooth model trained by Falah
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)
Sample pictures of this concept with simple and easy prompt:
any prompt and add word islamidiffusion style :
"home islamicdiffusion"
<img src="https://huggingface.co/Falah/islamicdiffusion/resolve/main/00626-3710065853-Islamic%20home.png" style="max-width: 800px;" width="100%"/>
"home islamicdiffusion"
<img src ="https://huggingface.co/Falah/islamicdiffusion/resolve/main/00629-3710065856-Islamic%20home.png" style="max-width: 800px;" width="100%"/>
"Bearded old man, handsome, rugged, sadness + crying, Arabic, award-winning photography, nikon d750 islamicdiffusion"
<img src ="https://huggingface.co/Falah/islamicdiffusion/resolve/main/00722-913347333-islamicdiffusion%20%20Bearded%20old%20man%2C%20handsome%2C%20rugged%2C%20sadness%20%2B%20crying%2C%20Arabic%2C%20award-winning%20photography%2C%20nikon%20d750.png" style="max-width: 800px;" width="100%"/>
"Bearded old man, handsome, rugged, sadness + crying, Arabic, award-winning photography, nikon d750 islamicdiffusion"
<img src="https://huggingface.co/Falah/islamicdiffusion/resolve/main/00725-913347336-islamicdiffusion%20%20Bearded%20old%20man%2C%20handsome%2C%20rugged%2C%20sadness%20%2B%20crying%2C%20Arabic%2C%20award-winning%20photography%2C%20nikon%20d750.png" style="max-width: 800px;" width="100%"/>
### 🧨 Diffusers
This model can be used just like any other Stable Diffusion model. For more information,
please have a look at the [Stable Diffusion Pipeline](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion).
```python
from diffusers import StableDiffusionPipeline
import torch
model_id = "Falah/islamicdiffusion"
pipe = StableDiffusionPipeline.from_pretrained(model_id, torch_dtype=torch.float16)
pipe = pipe.to("cuda")
prompt = "photo, a home in the middle of a field of crops, bright cinematic lighting, gopro, fisheye lens style islamicdiffusion"
image = pipe(prompt).images[0]
image.save("./result.jpg")
```
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