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:
- 22c1311f870156eb67df07bf308453f74c19a1b37083bc8c17de6a8a76b5ab6d
- Size of remote file:
- 246 MB
- SHA256:
- 2a3e96ec7dbf5cd0cfc0cf9ac4a0a41ec73808935d1504fee2963023dc10185f
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