metadata
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
Sample pictures of this concept with simple and easy prompt:
any prompt and add word islamidiffusion style :
"home islamicdiffusion"
![](https://huggingface.co/Falah/islamicdiffusion/resolve/main/00626-3710065853-Islamic%20home.png)
"home islamicdiffusion"
![](https://huggingface.co/Falah/islamicdiffusion/resolve/main/00629-3710065856-Islamic%20home.png)
"Bearded old man, handsome, rugged, sadness + crying, Arabic, award-winning photography, nikon d750 islamicdiffusion"
![](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)
"Bearded old man, handsome, rugged, sadness + crying, Arabic, award-winning photography, nikon d750 islamicdiffusion"
![](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)
🧨 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.
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 = ""Bearded old man, handsome, rugged, sadness + crying, Arabic, award-winning photography, nikon d750 islamicdiffusion"
image = pipe(prompt).images[0]
image.save("./result.jpg")