Instructions to use bbbboiwow/cocccck with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use bbbboiwow/cocccck with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("bbbboiwow/cocccck", 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
- Xet hash:
- c951a719dd0324662f48e4e7113b4b1bea665ca90e21cceb6981d405f5fa73eb
- Size of remote file:
- 115 kB
- SHA256:
- 03558b495ab9e5c0e904ab40b0ddc93b9370ccb9e403b2b8d514eefa1d4545b6
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