Instructions to use GraydientPlatformAPI/unink8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/unink8 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/unink8", 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:
- d701f5499dac3baaa7b069cf2f466072693c348365b348d6b6803ad08ff99ad2
- Size of remote file:
- 1.72 GB
- SHA256:
- 9e6921eb3ffe7f78ad547732a01a6facd2b95e22bb14b8c18f2d14e282687f2b
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