Instructions to use Falah/dishdasha with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/dishdasha 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/dishdasha", 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
dishdasha clothes called in Arabic (دشداشة ) Dreambooth model trained by Falah. G.Saleih
u 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 AI art generation images using our own trained images. in this model, we can generate images of women wearing dress clothes called in Arabic (dishdasha) or (دشداشة ) it is interior home ,wearing clothes for Arabic women ones as popular images, or just about anything you can think of Test the concept via A1111 Colab fast-Colab-A1111
Sample pictures of this concept with simple and easy prompts:
any prompt and add word dishdasha style :
prompt:
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