Instructions to use GraydientPlatformAPI/arael-i with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/arael-i 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/arael-i", 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:
- 3add798c22f3531405341acdce589d32a28e0fcdf13b78db1dc25b42956475ed
- Size of remote file:
- 167 MB
- SHA256:
- ebcc5ea4c0a4a2a6f57355438f721d16809d1bd0c082bb6cbaf18ed3db7b7be2
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