Instructions to use Falah/firuziat-style with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/firuziat-style with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Falah/firuziat-style", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("Falah/firuziat-style", dtype=torch.bfloat16, device_map="cuda")
prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k"
image = pipe(prompt).images[0]firuziat-style model trained by Falah.G.Salieh called in Arabic (فيروزيات)
You can visit my blog: https://iraqprogrammer.wordpress.com/
Or FB: https://web.facebook.com/falahgs
Email: falahgs07@gmail.com
With Stable Diffusion, we can now create artificial intelligence art generation images using our trained images. In this model, we can create images of new images and a real photo style called firuziat style with Arabic artist singer Firuze images in Arabic (firuziat-style نمط فيروزيات )
Any prompt and add firuziat-style style word:
prompt:
a woman with black hair and earrings on her head looking off to the side with a black background and a black background, Anita Malfatti, promotional image, dau-al-set,firuziat-style Sample images of this concept with simple and easy prompts:
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