Instructions to use GraydientPlatformAPI/hello5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/hello5 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/hello5", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 0df6585489ba2851a060acf77daccbd25955e2de69f555b2c29fdb0a6726da55
- Size of remote file:
- 246 MB
- SHA256:
- 3576c28f5353f32240a7ac21c14d97b054bbc081b8b2da7788b940d25c2c0755
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