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:
- e1842cc4e228f9941b3b870c9adf5c3aa5d94e4fc09462229870e638f406ac84
- Size of remote file:
- 167 MB
- SHA256:
- 87d45a024ff5c98901d6256b56ddef5673a0d22b9937a08787fc8731b6bfde00
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