Instructions to use GraydientPlatformAPI/coco-ill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco-ill 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/coco-ill", 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:
- 48382af67cf6e839e9f4d65a01eec15ee95d85cbfe938460cf77e58df4101252
- Size of remote file:
- 246 MB
- SHA256:
- 02bc397cb0d2fa264d095ac25ce987a58aa71ff8f74d41424f581aa5cf24cc1b
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