Instructions to use Falah/sdmandala with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Falah/sdmandala 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/sdmandala", 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:
- 80f4c93a8a31d5de13cffc2e0f37fead624a628c58e51e223c49d27b3e5341ec
- Size of remote file:
- 246 MB
- SHA256:
- b4cdc421a3a9d51ffca0255d44e00141bb4f3aa2413275fca636969c6dd1cfc3
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