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:
- 79cb74feda2cd6591503111b076d4d74c16f02bc4aa0601b5ae7e5c52e36560a
- Size of remote file:
- 167 MB
- SHA256:
- c177c2a17ade730596f7930ae7aec1a388fa4bc35a7103eb157e901bceaeb606
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