Instructions to use GraydientPlatformAPI/coco-semi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/coco-semi 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-semi", 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:
- 50db7eeca780f630fab521cf8ca7e51c84f572b0f3e81114045de73805158bc7
- Size of remote file:
- 246 MB
- SHA256:
- 03b718d60fe697c5dd8f01806c285f90fc02fb6caf126c864eb7de080850fd90
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