Instructions to use GraydientPlatformAPI/forreal05 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/forreal05 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/forreal05", 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:
- de6b5754b17bb75b7122e83dbc8c1513e028be87c5263f84d07ccefecb26b4f4
- Size of remote file:
- 246 MB
- SHA256:
- 705f5a190b9cc95b3e246a78eb528e1c38d1d9d9f01d1a49a23a73e494f286b4
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.