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
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README.md
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###Babylon clothes called in Arabic (Babylonian fashion) Dream Booth model trained by
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You can visit my blog: https://iraqprogrammer.wordpress.com/
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Email: falahgs07@gmail.com
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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
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Sample images of this concept with simple and easy prompts:
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- text-to-image
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- stable-diffusion
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### Babylon clothes called in Arabic (Babylonian fashion) Dream Booth model trained by Falah.G.Salieh
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## You can visit my blog: https://iraqprogrammer.wordpress.com/
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## FB: https://web.facebook.com/falahgs
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## Email: falahgs07@gmail.com
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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
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Sample images of this concept with simple and easy prompts:
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