Instructions to use Falah/islamicdiffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/islamicdiffusion 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/islamicdiffusion", 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
Download text_encoder/pytorch_model.bin from Falah/islamicdiffusion: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/Falah/islamicdiffusion/resolve/119bbaa1981cd4b13c19bb71111a61a22aadf940/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://Falah/islamicdiffusion@119bbaa1981cd4b13c19bb71111a61a22aadf940/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/Falah/islamicdiffusion/resolve/119bbaa1981cd4b13c19bb71111a61a22aadf940/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- c4dca8ba8f67b1d29bbff1e76b2e20217f73d91a377339216a00bf42cc709a4f
- Size of remote file:
- 246 MB
- SHA256:
- e89e227c1c74c5f906e3e0138da50cadc3442989d0be584f46591032c3b1ffa1
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