Instructions to use GraydientPlatformAPI/relh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/relh 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/relh", 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:
- 3c4e076b45db16fae173305bb965fc0141ceec568fac5b3aa29f316e7a6a92f8
- Size of remote file:
- 246 MB
- SHA256:
- fd0742073c30b1411ba65884fcdf31adcb849d6715f6b5e848aa07959cdcd6db
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