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
- Draw Things
- DiffusionBee
- Xet hash:
- 11c9408f8c78a572924cd7ba401ade87a318283bed2689c16affe0c4d3b57213
- Size of remote file:
- 2.13 GB
- SHA256:
- ad85f1ad3a145e171803e501c90255acafe019afe9927781bbff4ce156907090
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