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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 758c382193fbafaa16530768a2f664a41f9f80a78764b56b2b06ed928b8d69b1
- Size of remote file:
- 1.72 GB
- SHA256:
- 0eca96f33e703dabe2ce7bfbd95e589578c88289d253e83b5ee07695171ef522
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