Instructions to use Falah/shanasheel-baghdad with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/shanasheel-baghdad 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/shanasheel-baghdad", 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 Settings
- Draw Things
- DiffusionBee
shanasheel-baghdad called in Arabic (شناشيل بغداد) model trained by Falah.G.Salieh .
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 template we can create images of old Baghdad houses with old balconies called Shanasheel called in Arabic (shanasheel - شناشيل) or Old Baghdad Houses which is or anything you can think of in concept testing via A1111 Colab fast-Colab -A1111
Sample images of this concept with simple and easy prompts:
Any prompt and add abaya style word:
Prompt: Sample images of this concept with simple and easy prompts:
any prompt and add shanasheel-baghdad style word
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