Instructions to use GraydientPlatformAPI/realisian5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/realisian5 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/realisian5", 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:
- f7815bb3470a64342e7eb16973a1fca11a885653da18a6ba3d606e866740a503
- Size of remote file:
- 246 MB
- SHA256:
- 50241d0090f76297eee63c8ec90e755f0838a5645f0dc274408b025bd4493491
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