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:
- 2617b7ad13f819791d03d49d2fb0bb7589b1b6cf70995db42612f77ccdf8adaa
- Size of remote file:
- 1.39 GB
- SHA256:
- ad20b04e80f793150c21736fda0e6a819a0f124d77f6e29b1b6fb1fd64ea6be2
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