Instructions to use monkseal555/CIRAcentered with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use monkseal555/CIRAcentered with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("monkseal555/CIRAcentered", 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
Ctrl+K
- 477 kB
- 445 kB
- 463 kB
- 494 kB
- 473 kB
- 472 kB
- 460 kB
- 485 kB
- 495 kB
- 463 kB
- 469 kB
- 463 kB
- 471 kB
- 487 kB
- 488 kB
- 485 kB
- 485 kB
- 473 kB
- 466 kB
- 463 kB
- 477 kB
- 473 kB
- 484 kB
- 494 kB
- 473 kB
- 468 kB
- 463 kB
- 485 kB
- 478 kB
- 470 kB
- 471 kB
- 460 kB
- 473 kB
- 471 kB
- 483 kB
- 475 kB
- 474 kB
- 490 kB
- 476 kB
- 479 kB
- 458 kB
- 478 kB
- 448 kB
- 472 kB
- 471 kB
- 445 kB
- 456 kB
- 487 kB
- 475 kB
- 480 kB