Instructions to use Falah/babylon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/babylon 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/babylon", 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
Babylon clothes are called in Arabic (الازياء البابلية) Dream Booth model trained by Falah.G.Salieh
You can visit my blog: https://iraqprogrammer.wordpress.com/
FB: https://web.facebook.com/falahgs
Email: falahgs07@gmail.com
With Stable Diffusion, we can now create artificial intelligence art generation images using trained images. In this template, we can create images of women wearing clothes called Babylonian fashion style emanating from the Babylonian civilization in the country of Iraq, it is a popular clothing for Babylonian women in ancient times as famous images, or anything you can think of Test the concept via A1111 Colab fast-Colab-A1111
Sample images of this concept with simple and easy prompts:
Any prompt and add babylon style word:
Arabic beautiful woman in a costume with a long braid and a fur collar and a chain around her neck and a green , flowers, garden in the background, Bálint Kiss, promotional image, a colorized photo, antipodeans, babylon style, full shot
- Downloads last month
- 25



