Instructions to use xfcghj/AR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use xfcghj/AR with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("xfcghj/AR", 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
- 955 kB xet
- 547 kB xet
- 426 kB xet
- 609 kB xet
- 232 kB xet
- 488 kB xet
- 620 kB xet
- 564 kB xet
- 482 kB xet
- 648 kB xet
- 685 kB xet
- 594 kB xet
- 632 kB xet
- 648 kB xet
- 441 kB xet
- 481 kB xet
- 498 kB xet
- 496 kB xet
- 850 kB xet
- 642 kB xet
- 558 kB xet
- 572 kB xet
- 300 kB xet
- 496 kB xet
- 631 kB xet
- 690 kB xet
- 614 kB xet
- 517 kB xet
- 386 kB xet
- 632 kB xet
- 648 kB xet
- 627 kB xet
- 463 kB xet
- 574 kB xet
- 693 kB xet
- 693 kB xet
- 712 kB xet
- 353 kB xet
- 806 kB xet
- 611 kB xet
- 502 kB xet