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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- f05243ab5d2483baff56ef359c00eba066db5f5a9da99d78906a5b4f8f45b4ce
- Size of remote file:
- 5.14 GB
- SHA256:
- 527774803c6748468a59306dce43cd29a2f778b13ea5686885c6f20794f4e88f
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