Instructions to use GraydientPlatformAPI/nico with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/nico 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/nico", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 35288ebd599ad8ed1adce8a3d2bc14e2afece74aa24fa8355430a95d84707d05
- Size of remote file:
- 246 MB
- SHA256:
- 2129a109588a01ab872f6adf83cfe1473173565819c6b7d9fd9c925b7aeb3cdb
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