Instructions to use GraydientPlatformAPI/coco2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco2 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/coco2", 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:
- d823d83de0ca9eed46c751f09bedb7e11ce89a548dafeda0bcf0836b61a2feaa
- Size of remote file:
- 5.14 GB
- SHA256:
- e518722d3c44886d877385fc6a3a969294e6a67d826c03d6c89e8382b576284f
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