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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 07becf9c6c27fab865e0815f53e3dd26aab91f368570db80bfaed50ca333dca7
- Size of remote file:
- 246 MB
- SHA256:
- af88acfb6cdf4feaadce21bc6f64dd36139d5b77e3d64bb00a005c7c6782420f
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