Instructions to use GraydientPlatformAPI/CINERO with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/CINERO 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/CINERO", 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:
- 71a4f83a28a3165ef573f269c3dcbf7fc9207e763d7cd050d280d163180cd097
- Size of remote file:
- 1.39 GB
- SHA256:
- 7d04a0ab2a3e8fec75178b8771d5107217292831e54ea599b8f3d7303a42cbd9
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