Instructions to use GraydientPlatformAPI/coco2ill with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco2ill 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/coco2ill", 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:
- 8bf4551a3d1fd9e649d464d547f4449f423f0999941d09a291da69548da2fd85
- Size of remote file:
- 5.14 GB
- SHA256:
- 0162904b6c63185df523cc249c6c4d4f3573458da52b9469ea15495ad298c4af
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