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:
- 5b15debe79119252870bab12782c427b6a7720758d751ca7c56b8973859a0e08
- Size of remote file:
- 1.72 GB
- SHA256:
- 584b50965dbdf6b87dc43ff66af311c7a068c89351a838e70909084ce53e0922
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