Instructions to use GraydientPlatformAPI/bobai2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/bobai2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/bobai2", 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:
- 1ac3de954a97b8159f57bec7b8c541a486e895219ee98e3c1d6b3b16577e4211
- Size of remote file:
- 5.14 GB
- SHA256:
- 52936694038628d9aa9d38b2ca7827fe2e96846e340abc8f411251d1c420a2b4
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